Samsung Galaxy Research Articles

Geotagging accuracy in smartphone photography

After a decade of technological advancements, digital forensic science is under increasing pressure to deliver investigative findings with a high degree of scientific rigor. The judicial community has voiced growing concerns regarding digital traces and their interpretation. This research focuses on assessing the significance of geolocation information embedded within the metadata of photographs captured using a mobile phone. In order to examine the variability in the accuracy of this geolocation metadata and identify potential external influences, images were taken at 29 different locations distributed along three distinct paths. The photographs were captured using two Samsung Galaxy S8 SM-G950F devices running on Android 8.0. Various configurations of GNSS and mobile network connections were tested, and their potential impact on the accuracy of geolocation metadata was investigated. The findings show the dependency of geolocation accuracy on the specific measurement location. This research ultimately highlights the imperative for evaluative approaches to take into account the specific characteristics of each point of interest, as opposed to leaning on broad statements about the reliability of geolocation processes in general.

Investigating diverse photogrammetric techniques in the hazard assessment of historical sites of the Museum of the Coal Basin Area in Będzin, Poland

Abstract Assessing the condition of historical sites at risk requires an interdisciplinary approach based on combining multiple measurement technologies. Due to the dynamic development of technology, non-invasive remote sensing methods are gaining significant importance. Among these techniques is photogrammetry based on images taken from unmanned aerial vehicles (UAVs) and those taken with a smartphone. In the study, the authors specified the possibilities and limitations of using remote photogrammetric methods to build accurate digital models of the walls of historic buildings with cracks in them. Point clouds, TIN grids, and façade orthophotos were examined. Statistical analysis was used to determine the repeatability of the data. Two parameters were identified that affect the accuracy of the data: the first – the direction of the segment between two points in the façade plane, and the second – the distance of the segment between two points in the plane of the façade. The study showed that the average accuracy of crack width measurements on the data acquired with the DJI Mavic 3 Enterprise RTK is 1 mm. Testing of crack width measurements using a Samsung Galaxy S20 FE smartphone showed an average absolute error of 0.24 mm. Based on the results, it was concluded that the imagesacquired using mobile devices can be used to determine changes in crack widths on walls.

Decimeter-Level Accuracy for Smartphone Real-Time Kinematic Positioning Implementing a Robust Kalman Filter Approach and Inertial Navigation System Infusion in Complex Urban Environments.

New smartphones provide real-time access to GNSS pseudorange, Doppler, or carrier-phase measurement data at 1 Hz. Simultaneously, they can receive corrections broadcast by GNSS reference stations to perform real-time kinematic (RTK) positioning. This study aims at the real-time positioning capabilities of smartphones using raw GNSS measurements as a conventional method and proposes an improvement to the positioning through the integration of Inertial Navigation System (INS) measurements. A U-Blox GNSS receiver, model ZED-F9R, was used as a benchmark for comparison. We propose an enhanced ambiguity resolution algorithm that integrates the traditional LAMBDA method with an adaptive thresholding mechanism based on real-time quality metrics. The RTK/INS fusion method integrates RTK and INS measurements using an extended Kalman filter (EKF), where the state vector x includes the position, velocity, orientation, and their respective biases. The innovation here is the inclusion of a real-time weighting scheme that adjusts the contribution of the RTK and INS measurements based on their current estimated accuracy. Also, we use the tightly coupled (TC) RTK/INS fusion framework. By leveraging INS data, the system can maintain accurate positioning even when the GNSS data are unreliable, allowing for the detection and exclusion of abnormal GNSS measurements. However, in complex urban areas such as Qazvin City in Iran, the fusion method achieved positioning accuracies of approximately 0.380 m and 0.415 m for the Xiaomi Mi 8 and Samsung Galaxy S21 Ultra smartphones, respectively. The subsequent detailed analysis across different urban streets emphasized the significance of choosing the right positioning method based on the environmental conditions. In most cases, RTK positioning outperformed Single-Point Positioning (SPP), offering decimeter-level precision, while the fusion method bridged the gap between the two, showcasing improved stability accuracy. The comparative performance between the Samsung Galaxy S21 Ultra and Xiaomi Mi 8 revealed minor differences, likely attributed to variations in the hardware design and software algorithms. The fusion method emerged as a valuable alternative when the RTK signals were unavailable or impractical. This demonstrates the potential of integrating RTK and INS measurements for enhanced real-time smartphone positioning, particularly in challenging urban environments.

Features of Bioluminescence Dynamics of Photobacterium phosphoreum IMV B-7071

The problem of the prolonged and stable intensity of bioluminescent signals is relevant in the development of any test systems that use biological objects. The aim of this work was to study the features of bioluminescence dynamics of Photobacterium phosphoreum IMV B-7071 in a liquid and on different stationary media. Methods. Bioluminescence studies were performed in liquid, agarose, and cellulose-cotton media. Bacterial suspensions were cultivated at 21°C in the mediums with standard composition. We studied both the background glow and its dynamics under conditions of mixing a liquid medium. Bioluminescence was recorded using digital photography with subsequent image processing of the samples. The measurements of luminescence were made by digital photo or video recording using Olympus digital camera SP560UZ, CANON 700D, and mobile device camera Samsung Galaxy 9 Note with specialized applications for mobile devices "Colorimeter (Lab Tools Apps)" and Camera Color Counter (Keuwsoft) at maximum light sensitivity in the automatic white balance mode at a fixed distance from the sample. Image processing was carried out using ImageJ and Origin Pro. Spectra of bacterial luminescence and its dynamics over time were measured using an LOMO MDR-23 spectrometer in the range of 200–750 nm. Results. The results of the study prove that in aqueous or solid agar and also on cellulose cotton medium, the intensity of bioluminescence of P. phosphoreum gradually increases, reaching a maximum within approximately 2 days, after which it slowly fades. It was established that the bioluminescence of photobacterium P. phosphoreum is a non-stationary process and has characteristic features of temporal dynamics associated with both the dynamics of the oxygen concentration in the environment of bacterial suspensions and the dynamics of the bacterial population density. Analysis of the luminescence spectra of bacteria shows that luminescence occurs mainly in the blue and green regions of the spectrum with luminescence maxima in the range of 460–520 nm, but the ultra-weak glow is also registered in the UV and red spectral ranges. The variability of photobacterial luminescence spectra over time in the spectral ranges of the main luminophores causes color fluctuations between the blue and green ranges. Conclusions. The key parameters of multi-day background and short-term induced bioluminescence dynamics of photobacteria in different environments were clarified, and the certain variability of the spectral characteristics of luminescent radiation over time was shown. The revealed features of the dynamics of the bioluminescence of P. phosphoreum must be taken into account in practical application to assess the toxicity of substances of various nature, as well as in environmental monitoring.

Validity of Wearable Trackers for Measuring Steps, Energy Expenditure and Heart Rate in Korean Elderly

PURPOSE: This study aimed to assess the validity of a physical activity tracking device by comparing physical activity data from older adults, including the number of steps, energy expenditure, and heart rate (HR), with data obtained from research accelerometers, wearable watches, and mobile apps.METHODS: A total of 24 healthy older adults (aged 65-79 years) wore a wearable tracking device and used a respiratory gas analyzer while walking and running on a treadmill at speeds of 3.8 km/h, 4.8 km/h, 5.6 km/h, 6.4 km/h, and 8.0 km/h, in a randomized order. This study evaluated seven wearable devices: one research accelerometer (ActiGraph GT3X+), five smartwatches/fitness trackers (Samsung Galaxy Watch Active 2, Fitbit Versa 2, Xiaomi Mi Band 4, Garmin Forerunner 945, and Apple Watch Series 2), and one mobile application. Step counts were measured directly, HR was compared using a Polar H7 HR Sensor, and energy expenditure was assessed using a Quarkb2 respiratory gas analyzer.RESULTS: Commercial wearable watches and mobile applications were more accurate than research-grade accelerometers for monitoring steps during walking and running in older adults. HR measurements from wearable watches were more accurate than those from reference devices. Although energy expenditure measurements from mobile applications and wearable watches were less accurate than measurements of steps and HRs their accuracy was comparable to that of research-grade accelerometers.CONCLUSIONS: This study provides insights into the strengths of using wearable devices in healthcare and fitness fields, which seek to monitor and actively manage the physical activity of older adults using wearable trackers.

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis.

Wearable activity trackers, including fitness bands and smartwatches, offer the potential for disease detection by monitoring physiological parameters. However, their accuracy as specific disease diagnostic tools remains uncertain. This systematic review and meta-analysis aims to evaluate whether wearable activity trackers can be used to detect disease and medical events. Ten electronic databases were searched for studies published from inception to April 1, 2023. Studies were eligible if they used a wearable activity tracker to diagnose or detect a medical condition or event (eg, falls) in free-living conditions in adults. Meta-analyses were performed to assess the overall area under the curve (%), accuracy (%), sensitivity (%), specificity (%), and positive predictive value (%). Subgroup analyses were performed to assess device type (Fitbit, Oura ring, and mixed). The risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Diagnostic Test Accuracy Studies. A total of 28 studies were included, involving a total of 1,226,801 participants (age range 28.6-78.3). In total, 16 (57%) studies used wearables for diagnosis of COVID-19, 5 (18%) studies for atrial fibrillation, 3 (11%) studies for arrhythmia or abnormal pulse, 3 (11%) studies for falls, and 1 (4%) study for viral symptoms. The devices used were Fitbit (n=6), Apple watch (n=6), Oura ring (n=3), a combination of devices (n=7), Empatica E4 (n=1), Dynaport MoveMonitor (n=2), Samsung Galaxy Watch (n=1), and other or not specified (n=2). For COVID-19 detection, meta-analyses showed a pooled area under the curve of 80.2% (95% CI 71.0%-89.3%), an accuracy of 87.5% (95% CI 81.6%-93.5%), a sensitivity of 79.5% (95% CI 67.7%-91.3%), and specificity of 76.8% (95% CI 69.4%-84.1%). For atrial fibrillation detection, pooled positive predictive value was 87.4% (95% CI 75.7%-99.1%), sensitivity was 94.2% (95% CI 88.7%-99.7%), and specificity was 95.3% (95% CI 91.8%-98.8%). For fall detection, pooled sensitivity was 81.9% (95% CI 75.1%-88.1%) and specificity was 62.5% (95% CI 14.4%-100%). Wearable activity trackers show promise in disease detection, with notable accuracy in identifying atrial fibrillation and COVID-19. While these findings are encouraging, further research and improvements are required to enhance their diagnostic precision and applicability. Prospero CRD42023407867; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=407867.

A pilot study of upcycled smartphone-based colposcopy for visual inspection of cervix performed by community healthcare workers in rural Vietnam.

This study assessed the feasibility of smartphone-based colposcopy (SBC) for visual inspection of the cervix by community healthcare workers in low-resource areas. This was a retrospective study conducted in community villages in rural Vietnam, where 177 participants were enrolled for a cervical cancer screening. Cervical images were obtained by pre-trained community healthcare workers using a portable, upcycled SBC (Samsung Galaxy Note 20). Images were taken before and after the visual inspection after acetic acid (VIA) examination. Captured images were stored on a web server through an Android-based application and later reviewed independently by two experienced gynecologists. Image quality was assessed, and kappa statistics were calculated for the measurement of agreement in VIA findings. Cervical images of 177 women obtained between July and August 2020 were analyzed. The mean age of women was 42 ± 9.1 years, and 20.3% were postmenopausal. The percentage of adequate visibility of the squamocolumnar junction (SCJ) in the captured images was 83.1%. The kappa value for interobserver reliability was 0.61 for VIA positivity agreement between the two gynecologists. Image clarity was rated as average or above in 77.3%. The reasons for suboptimal clarity were poor focusing (15.3%), inadequate SCJ visibility (18%), and obscuring of the transformation zone due to blood (11.3%), discharge (14.7%), or artifacts such as intrauterine devices or polyps (5.1%). Upcycled SBC was feasible when performed by pre-trained healthcare workers in a low-resource setting. VIA findings by SBC showed adequate agreement between two independent assessments, suggesting its potential as a method to aid cervical cancer screening.

Outdoor mobile broadband performance analysis in Malaysia, Singapore, and Thailand

This paper presents the measurement of mobile broadband (MBB) performance and specifies insightful knowledge about 3G and 4G technologies of dense urban and urban morphologies in Malaysia, Thailand, and Singapore. This study will also contribute to planning efficiently for the deployment of 5G network in these three countries. The data to characterize and analyze the MBB performances are gathered through a driving test (DT) conducted in areas of the three countries for two months starting from January to February by utilizing an unbranded smartphone named Samsung Galaxy S6. The performance data in our MBB analysis was collected based on diverse national mobile network operators (MNOs) in outdoor areas of the selected states in the mentioned countries. Four different performance metrics (coverage, speed, latency, and satisfaction) were investigated to assess the network performance for one of MBB's services that contain video streaming services. Within video services, two distinct resolutions including 720p (low) and 1080p (high) for an identical YouTube video were loaded alternately by the same smartphone. The research is meant to mimic real scenarios in the case of the unlocked smartphone to any technology during the time of loading a video, which contributes to knowing the network coverage of 2G, 3G, and 4G technologies in the chosen areas. The analysis of the 2G technology is excluded in the current paper because of the limited data amount of 2G. The MBB performance measurement results in the tested areas revealed that, on average, the 4G network outperformed the 3G network according to the investigated four performance indicators. Therefore, across the tested territories, the 4G technology offered better network coverage compared to the 3G technology. The vMOS scores for 4G technology across video services were more than 3, whereas the 3G technology has achieved scores smaller than 3. Also, the 4G network has achieved E2E RTT-Ping server latency improvements of 89.90%, 59.30%, 67.48%, and 58.04% compared to the 3G network in the urban and dense urban of Klang Valley, Malaysia, urban of Singapore, and urban of Thailand, respectively. Moreover, it is found that 4G technology can provide improvements up to the factors of 1.29, 1.61, 1.98, and 1.35 in the download speed for video streaming compared to the 3G technology for urban and dense urban of Klang Valley, Malaysia, urban of Singapore, and urban of Thailand, respectively.

Performance evaluation of a smartphone-based home test for fecal calprotection.

Fecal calprotectin (FC) serves as a non-invasive marker for the assessment of gut inflammation in patients with inflammatory bowel disease (IBD). Laboratory measurements are usually performed with immunologic methods like enzyme-linked immunosorbent assay. Recently, quantitative home tests based on the lateral flow technology with smartphones as read-out devices have been developed. We compared the quantitative and qualitative performance of the quantitative lateral flow home test Preventis SmarTest® Calprotectin Home and the immunological test used in our laboratory (Eurospital Calprest® Turbo). Fourty-five routine samples were analyzed in parallel with both tests according to the manufacturer's instructions. The read-out of the home test was performed with two smartphones (Apple iPhone 14 Pro and Samsung Galaxy XCover 5). The qualitative interpretation (positive, negative, borderline) was conducted using the cut-offs provided by the manufacturers. Statistically significant correlations with the laboratory standard method were observed for both smartphones (Spearman's rho 0.703 and 0.715, all p<0.005). The home test showed systematically higher concentrations compared to the routine assay. We found minimal qualitative agreement between the two tests (Cohen's kappas (κ)=0.323 and 0.300; p=0.003 and 0.005) showing a lower rate of positives with the home test. Both used smartphones showed good quantitative and qualitative agreement. The tests are quantitatively not interchangeable. However, the home test may be applicable for the serial follow-up management of patients with IBD. The higher rate of samples classified as negative with the home test may lead to an underestimation of affected patients.

1103 Gait Analysis Using Wearables and AI in Predicting Peripheral Arterial Disease: A Systematic Review

Abstract Introduction Peripheral arterial disease (PAD) affects over 230 million people globally. The trajectory of this disease process can culminate in major amputation. These patients demonstrate statistically significant changes in gait including changes in stride length, plantarflexion and other spatiotemporal parameters. Aim To determine if alterations in gait parameters can be detected and measured accurately by wearables and AI in PAD patients and if these measurements are predictive of PAD progression. Method A systematic review was performed in line with PRISMA guidelines. MEDLINE, Embase, Web of Science and Scopus were used for database searches. A combination of medical subject headings (MeSH) regarding ‘PAD’, ‘gait’, ‘kinetics’, ‘biomechanics’, ‘ambulation’, ‘artificial intelligence’, ‘sensors’ and ‘smartphone data’ were employed in the primary search string. Screening, full text reviews and data extraction was conducted by 2 reviewers using Covidence. Bias was assessed using the Newcastle-Ottawa scale. Results 4719 studies were identified. 3873 were screened after de-duplication. 5 studies were included in the final review. The main methods of gait measurements included smartphones (iPhone and Samsung Galaxy), wearable sensors and motion sensor technology. Gait initiation parameters were sensitive in detecting gait impairment. iPhone pedometer demonstrated accuracy measuring steps comparable to reference Actigraph but was inaccurate measuring distance. Machine learning models including Random Forest algorithms and extreme gradient boosting, detected PAD patients with 89% and 92% accuracy respectively. Conclusions Wearables and AI algorithms can detect gait changes and differentiate PAD from non-PAD gait. All studies showed detective capability, however none demonstrated predictability of PAD. Limitations include accuracy and validation of measurement methods.

Assessment of Samsung Galaxy Watch4 PPG-Based Heart Rate During Light-to-Vigorous Physical Activities

Assessment of Samsung Galaxy Watch4 PPG-Based Heart Rate During Light-to-Vigorous Physical Activities

Diagnostic accuracy of smartwatches for automated atrial fibrillation detection over time: insights from the basel wearable study

Abstract Background The first smart-watch (SW) able to record a single lead ECG (SL-ECG) with automated atrial fibrillation (AF) detection algorithm was introduced 2018. Multiple other manufacturers followed. While manufacturers claim to continuously improve their devices’ algorithm, little is known about the impact on diagnostic accuracy on AF detection over time in a real-world cohort of patients. Purpose To assess if the diagnostic accuracy of algorithm-based AF detection of 5 smart devices has improved over time. Methods In this prospective study, consecutive patients undergoing electrophysiological procedures in a tertiary referral center were included between April 2021 to May 2023. Each participant received a 12-lead ECG and 5 SL-ECGs with different smart devices (AliveCor KardiaMobile, Apple Watch 6, Fitbit Sense, Samsung Galaxy Watch 3 and Withings ScanWatch). All SW were continuously updated for newest software or firmware as recommend by the manufacturers. The SW rhythm classification was compared to manual cardiologist-based interpretation of SL-ECGs. The change in number of inconclusive SL-ECGs by manufacturer’s algorithm were investigated over time via Cochran-Armitage test for trend and illustrated over time via logistic regression. Results 247 participants were included (30% female, mean age 66.3 [IQR: 57-74] years) resulting in a total of 1’235 SL-ECGs. Among these, 202 SL-ECGs (16%) were labeled as inconclusive by at least one smart-device. Inconclusive rates for individual SW ranged from 15% to 19%. When comparing the first and last quintile of patients in the study period, the inconclusive rates for the KardiaMobile were 14% vs. 6%, for the Apple Watch 14% vs. 6%, for the Fitbit Sense 20% vs. 14%, for the Samsung Galaxy 18% vs. 10% and for the Withings ScanWatch 22% vs. 14%, respectively. When assessed continuously over time, we observed a trend towards fewer inconclusive tracings, without reaching statistical significance (Figure 1). Conclusion Over 26 months, inconclusive tracings of 5 SW didn’t significantly decrease despite frequent software updates in a real-world patient cohort. Larger, long-term cohorts are needed to assess if automated AF detection has significantly improved over time.Figure 1

FEASIBILITY OF WATCH-TYPE CUFF-LESS BLOOD PRESSURE MEASUREMENT DEVICE IN DAILY BLOOD PRESSURE MONITORING

Objective: Cuff-less blood pressure (BP) measurement devices integrated into smartwatches have gained prominence for daily monitoring, yet limited studies provide the analysis of real-world BP data collected by such devices. In this study, we evaluated the feasibility of photoplethysmographic BP measuring smartwatch by analyzing data collected in real-world. Design and method: The campaign, “Smartwatch Blood Pressure Monitoring Challenge with Korean Hypertension Society”, was held in June 1-14, 2023 and 896 participants reported 35592 BP values measured by smartwatch (Samsung Galaxy Watch 6, approved in Korean Ministry of Food and Drug Safety). Participants were instructed to measure BP daily, in the morning (5AM-8AM) and evening (6PM-9PM) for two weeks, with initial calibration and re-calibration after the first week. We evaluated 1) BP difference between before and after re-calibration, and 2) difference in morning and evening BP. We also evaluated the determining factors of the BP differences. Results: Morning and evening BP values showed significant difference, higher in the evening by 1.42±5.25 mmHg (p&lt;0.05). However, the diurnal variation was much smaller than reported in other studies using conventional BP monitoring devices. ANOVA identified significant variables for evening-morning differences, including basal metabolic rate, skeletal muscle mass, total body water, average systolic BP (SBP), diastolic BP (DBP), and heart rate in the morning (p &lt; 0.01 in both ITT and PP). Participants who have evening-morning difference higher than the third quartile, where evening SBP was significantly higher than morning SBP, exhibited smaller variable sizes. Turkey’s Honest Significant Difference showed that this relationship is statistically significant between Q1-Q4 and Q2-Q4 in all variables. The calibration stability was assessed by the difference in average BP before and after calibration, resulting in an SBP difference of 4.64±4.73 mmHg and DBP of 3.66±3.62 mmHg, smaller than a 2021 campaign (6.8±5.6mmHg). When the difference of average was measured between same period of time (morning versus morning and evening versus evening), SBP of 5.39±5.22 mmHg and DBP of 4.3±3.99 mmHg. Conclusions: In conclusion, watch-based devices may not detect clinical-level BP variability, but refining calibration protocols offers improvement potential.

Detection of Arrhythmias Using Smartwatches-A Systematic Literature Review.

Smartwatches represent one of the most widely adopted technological innovations among wearable devices. Their evolution has equipped them with an increasing array of features, including the capability to record an electrocardiogram. This functionality allows users to detect potential arrhythmias, enabling prompt intervention or monitoring of existing arrhythmias, such as atrial fibrillation. In our research, we aimed to compile case reports, case series, and cohort studies from the Web of Science, PubMed, Scopus, and Embase databases published until 1 August 2023. The search employed keywords such as "Smart Watch", "Apple Watch", "Samsung Gear", "Samsung Galaxy Watch", "Google Pixel Watch", "Fitbit", "Huawei Watch", "Withings", "Garmin", "Atrial Fibrillation", "Supraventricular Tachycardia", "Cardiac Arrhythmia", "Ventricular Tachycardia", "Atrioventricular Nodal Reentrant Tachycardia", "Atrioventricular Reentrant Tachycardia", "Heart Block", "Atrial Flutter", "Ectopic Atrial Tachycardia", and "Bradyarrhythmia." We obtained a total of 758 results, from which we selected 57 articles, including 33 case reports and case series, as well as 24 cohort studies. Most of the scientific works focused on atrial fibrillation, which is often detected using Apple Watches. Nevertheless, we also included articles investigating arrhythmias with the potential for circulatory collapse without immediate intervention. This systematic literature review provides a comprehensive overview of the current state of research on arrhythmia detection using smartwatches. Through further research, it may be possible to develop a care protocol that integrates arrhythmias recorded by smartwatches, allowing for timely access to appropriate medical care for patients. Additionally, continuous monitoring of existing arrhythmias using smartwatches could facilitate the assessment of the effectiveness of prescribed therapies.

Performance of a commercial smart watch compared to polysomnography reference for overnight continuous oximetry measurement and sleep apnea evaluation.

We evaluated the accuracy and precision of continuous overnight oxygen saturation (SpO2) measurement by a commercial wrist device (WD) incorporating high-grade sensors and investigated WD estimation of sleep-disordered breathing by quantifying overnight oxygen desaturation index compared to polysomnography (PSG) oxygen desaturation index and apnea-hypopnea index (AHI) with and without sleep questionnaire data to assess the WD's ability to detect obstructive sleep apnea and determine its severity. Participants completed sleep questionnaires, had a WD (Samsung Galaxy Watch 4) placed on their wrist, and underwent attended, in-laboratory overnight PSG (Nihon Kohden) with a pulse oximetry probe secured either to a finger or an ear lobe. PSG data were scored by a single experienced registered PSG technologist. Statistical analysis included demographic characteristics, continuous SpO2 measurement WD vs PSG root-mean-square error with Bland-Altman plot and linear regression associations. Predictive models for PSG oxygen desaturation index and AHI severity were built using logistic regression with probability cutoffs determined via receiver operating curve characteristics. The 51 participants analyzed had a median age of 49 (range, 22-78) years; 66.7% were male, with median body mass index of 28.1 (range, 20.1-47.3) kg/m2 with a race/ethnicity distribution of 49.0% Caucasian, 25.5% Hispanic, 9.8% African American, 9.8% Asian, and 5.9% Middle Eastern. WD vs PSG continuous SpO2 measurement in percentage points demonstrated a bias of 0.91 (95% confidence interval, 0.38, 1.45), standard deviation of 2.37 (95% confidence interval, 2.36, 2.38), and root-mean-square error of 2.54 (95% confidence interval, 2.34, 2.73). WD area under the curve receiver operating curve characteristics for predicting PSG were 0.882 oxygen desaturation index > 15 events/h, 0.894 AHI > 30 events/h, 0.800 AHI > 15 events/h, and 0.803 AHI > 5 events/h. WD plus select sleep questionnaire areas under the curve for predicting PSG were 0.943 AHI > 30 events/h, 0.868 AHI > 15 events/h, and 0.863 AHI > 5 events/h. The WD conducted reliable overnight continuous SpO2 monitoring with root-mean-square error < 3% vs PSG. Predictive models of PSG AHI based on WD measurements alone, or plus sleep questionnaires, demonstrated excellent to outstanding discrimination for obstructive sleep apnea identification and severity. Longitudinal WD use should be evaluated promptly based on the WD's potential to improve accessibility and accuracy of obstructive sleep apnea testing, as well as support treatment follow-up. Browne SH, Vaida F, Umlauf A, Kim J, DeYoung P, Owens RL. Performance of a commercial smart watch compared to polysomnography reference for overnight continuous oximetry measurement and sleep apnea evaluation. J Clin Sleep Med. 2024;20(9):1479-1488.

The Role of Personalization in Virtual Reality Exposure Therapy During the Treatment of Alcohol Use Disorder

IntroductionIn Cue-Exposure-Therapy (CET), clients are exposed to triggers through objects, people and environments that arouse craving (Sinha et al. Neuropsychopharmacol. 2009;34 1198–1208). Virtual Reality Exposure therapy (VRET) is used to experience these triggers in a realistic, safe, and personalized way. VR has been used successfully in the treatment of psychiatric disorders. It has not yet been developed and sufficiently tested as an adjuvant in the clinical post-detoxification phase of treatment of alcohol use disorders (AUD) (e.g. Bordnick et al. Addict.Behav 2008;33 743-756; Hone-Blanchet et al. Front.Hum.Neurosci. 2014; 8(844) 1-15). Additionally, these treatment methods have been tested for effect, but not for effectiveness around different VR technologies (Ghita &amp; Gutierrez-Maldonado. Addict.Behav 2018; 81 1-11; ). This study focuses on VRET-Recovry to examine to what extent VR worlds could be personalized in an effective manner to help treat AUD as well as clarifying on the ways in which the VR worlds could be optimized to achieve its goal.ObjectivesThe primary objectives of this study are to assess the necessity of personalization in VR environments for AUD treatment, identify the critical elements for personalization, and examine their impact on craving in AUD patients.MethodsThe study included 10 AUD patients diagnosed according to DSM-V criteria, aged between 18 and 65, who were in the final week of clinical detoxification at a large addiction clinic in The Netherlands. A controlled experiment was conducted using the Recovry 1.0 VR system on Samsung Gear VR and Samsung Galaxy S9. The experiment involved exposure to various VR scenes (CG and 360o), including a neutral setting, a bar scene, and a home situation, with the duration and sequence controlled by a therapist. Data collection consisted of pre- and post-exposure questionnaires, heart rate and blood pressure measurements, and interviews.ResultsCraving was remarkably low in the VR bar scene, primarily due to its unsociable context, limited alcohol visibility, and absence of peer pressure. Technical limitations, such as suboptimal resolution, also affected the feeling of presence. Positive results were shown that craving was predominantly stimulated in the apartment scene, driven by the presence of alcohol-related visual cues and social elements, resembling relaxed drinking with others.ConclusionsThis study underscores that some degree of personalization is needed on all craving dimensions with clear preference was given to CG or 360°. The environments were dependent on the personal history and associations they represent to different levels of alcohol visibility (messy or clean), and types of drink (based on past drinking behavior), and different emotional contexts are needed (positive and negative).Disclosure of InterestNone Declared

Spatial Variation of the Received Signal Strength of Mobile Telephone Network (MTN) over Dutsin-Ma Town, Katsina State, Nigeria

The need for coverage areas assessment is important at ensuring quality of service. This study investigated the spatial variation of the Received Signal Strength (RSS) of MTN in Dutsin-Ma Town, Katsina State, Nigeria. The RSS was measured along four different routes from the main Transmitting Base Station (TBS) located at Unity Bank area using an Android Smartphone Samsung Galaxy Model A20. GPS receiver was used to monitor the elevation, geographic coordinates and Line-of-Sight of the various data points from the TBS up to about 2 km for each route using drive test protocol. Three sets of measurements were carried out covering morning, afternoon and evening. The obtained data were used to classify the coverage areas into Primary, Secondary, Tertiary and Fringe based on 3/4G-GSM standards. From the results, the mean values of the RSS for Routes A, B, C and D were -62, -91 and -75 dBm; -71, -90 and -85 dBm; -68, -99 and -83 dBm; -63, -93 and -83 dBm for morning, afternoon and evening respectively. These findings revealed that MTN RSS is more reliable in the morning and evening compared to the afternoon over Dutsin-Ma. This could be attributed to higher tower load which characterizes the afternoon times compared to morning and evening. Results also revealed that Route A, has the Best Area Network coverage, followed by routes D and B, while route C recorded the weakest. MTN Nigeria is advised to site more TBS in Dutsin-Ma to improve their quality of services in the community.

Reliability of a Tablet Computer-Based Dyslexia Screening Application Using an Eye-Tracking System

Purpose: The early detection and management of dyslexia are crucial for preventing irreversible educational gaps and various negative consequences for affected students. However, diagnosing dyslexia is challenging because it requires a comprehensive assessment. Dyslexia screening tests that utilize fast, automated, computer-based technology can be useful for early identification and management. In this paper, we introduce a tablet computer-based dyslexia screening application that uses an eye-tracking system and verify its reliability.Methods: The study included 200 participants between 8 and 13 years of age from an elementary school, all of whom underwent dyslexia screening tests twice. The screening was conducted using the VisualCamp SeeSo eye-tracking Android Software Development Kit v3.0.0, implemented on Samsung Galaxy Tab S5e tablets. The eye-tracking system measured reading speed by gaze, mean gaze fixation time, gaze fixation frequency, saccadic length, and regression ratio. To assess the reliability of the two sets of measurements, the intraclass correlation coefficient (ICC) was employed.Results: Excellent reliability was found for measurements of gaze fixation frequency (ICC=0.83), gaze fixation mean time (ICC=0.82), and reading speed by gaze (ICC=0.76), and good reliability for measurements of regression ratio (ICC=0.75) and saccadic length (ICC=0.72).Conclusion: This study demonstrated that the tablet computer-based dyslexia screening application reliably measured eye movements in subjects with dyslexia. Furthermore, the application proved to be highly reliable and potentially suitable for use in clinical or school settings, eliminating the need for a laboratory environment and extensive equipment.

SmartAnalysis: A sustainable digital-image colorimetry method for ethanol determination in alcohol-based hand sanitizer

Introduction: The consumption of alcohol-based hand sanitizers has increased significantly after the pandemic caused by SARS-CoV-2. Despite the conclusion of the health emergency declared by the WHO in 2023, the habit of sanitizing hands with ethanol-based gel sanitizers has been globally adopted by the population. Since general methods described in official compendia for ethanol determination such as gas chromatography or distillation are laborious and not-specific to carbomer-containing gels, this work proposes an alternative method based on digital image colorimetry. Method: The digital image (provided by ethanol-phenolphthalein reaction) was captured and transformed into an analytical signal based on the Red-Green-Blue system. The image acquisitions were performed using a Samsung Galaxy J6 smartphone, and the signals were generated using the Photometrix Pro® free program. The method was validated in accordance with ICH and applied in commercial samples. Additionally, the proposed method was evaluated for its environmental impact using the Green Analytical Process Index (GAPI) tool. Pictograms were generated using the ComplexGAPI® free program. Results: Green channel exhibited a linear response in the calibration curves for ethanol concentrations ranging from 5 to 40 % (w/w) in acidic medium. The method showed linearity, precision, accuracy, and robustness. Conclusions: The proposed method presented as main advantages the use of low-cost and easy-to-handle devices and reduced reagent consumption, in accordance with green analytical chemistry principles.

Assessment of Noise of MEMS IMU Sensors of Different Grades for GNSS/IMU Navigation.

Inertial measurement units (IMUs) are key components of various applications including navigation, robotics, aerospace, and automotive systems. IMU sensor characteristics have a significant impact on the accuracy and reliability of these applications. In particular, noise characteristics and bias stability are critical for proper filter settings to perform a combined GNSS/IMU solution. This paper presents an analysis based on the Allan deviation of different IMU sensors that correspond to different grades of micro-electromechanical systems (MEMS)-type IMUs in order to evaluate their accuracy and stability over time. The study covers three IMU sensors of different grades (ascending order): Rokubun Argonaut navigator sensor (InvenSense TDK MPU9250), Samsung Galaxy Note10 phone sensor (STMicroelectronics LSM6DSR), and NovAtel PwrPak7 sensor (Epson EG320N). The noise components of the sensors are computed using overlapped Allan deviation analysis on data collected over the course of a week in a static position. The focus of the analysis is to characterize the random walk noise and bias stability, which are the most critical for combined GNSS/IMU navigation and may differ or may not be listed in manufacturers' specifications. Noise characteristics are calculated for the studied sensors and examples of their use in loosely coupled GNSS/IMU processing are assessed. This work proposes a structured and reproducible approach for working with sensors for their use in navigation tasks in combination with GNSS, and can be used for sensors of different levels to supplement missing or incorrect sensor manufacturers' data.