Handheld Devices Research Articles

Bedside percutaneous cryoneurolysis technique for management of acute rib fracture pain in adult trauma patients

BackgroundAcute pain due to rib fractures causes significant in-hospital morbidity and impacts patients’ quality of life after discharge. Intraoperative transthoracic cryoneurolysis of the intercostal nerves can improve postoperative pain; however,...

A Study of Model Iterations of Fitts’ Law and Its Application to Human–Computer Interactions

Fitts’ law, a predictive model for motor task completion time, is widely utilized in human–computer interaction (HCI) research. While its formulas in two dimensions have achieved consensus over the decades, research diverges on its application in three dimensions. This paper synthesizes practical applications across touchscreens, virtual reality (VR), pedals, handheld devices, etc., with a specific emphasis on enhancing interaction experiences for vulnerable populations. This review studies Fitts’ law’s applicability in diverse interaction scenarios, highlighting design considerations for touchscreens and handheld/foot-held devices. This article underscores the need for future research to explore three-dimensional applications and consider user age, with potential expansions into medical and sports domains. This systematic review aims to empower designers in crafting more ergonomic products and improving HCI experiences.

Prevalence and patterns of helmet use among motorized two-wheelers: findings from a large observational study in an Indian metropolis

ABSTRACT: Motorized two-wheeler users account for 45% of road fatalities in 2021 in India. Correct helmet use decreases the risk of fatalities, but information about the prevalence of correct helmet use is limited in the Indian context. This study aims to assess the prevalence of helmet use and factors associated with correct helmet use among motorized two-wheeler users in Bengaluru city, India. This observational cross-sectional assessment was conducted in a random-representative sample of 98021 motorized two-wheelers sampled from 15 intersections. Helmet use and other information were collected by trained Field Data Collectors via hand-held tablet devices and the KoBo collect application, following a globally used checklist. The prevalence of helmet use (all types) was 88% among riders and pillion together and 92.4% among riders. However, the prevalence of correct helmet use is 38% among riders, and non-standard helmet use is 27%. This study reveals a correct helmet use gap in Bengaluru city. The study recommends the need to shift enforcement, messaging, and intervention focus towards correct helmet use and the implementation of routine population-based surveillance for helmet use in the city.

Light-Switch Electrochemiluminescence-Driven microfluidic sensor for rapid and sensitive detection of Mpox virus

Rapid, real-time, and accurate detection of pathogenic nucleic acids is crucial for the control and treatment of Mpox virus infection; however, classical detection methods are limited by time-consuming amplification steps, cumbersome equipment, and the requirement for professional operators. Herein, we developed an electrochemiluminescence (ECL)-driven microfluidic detection chip based on a light-switch molecule, which when coupled with rapid recombinase polymerase amplification (RPA) enabled the detection of Mpox within 30 min. [Ru(phen)2dppz]2+ was used as the ECL light-switch molecule owing to its significant ECL signal enhancement property when intercalated into double-stranded RPA products. The microfluidic chip included two independent liquid storage tanks preloaded with an RPA reagent mixture and [Ru(phen)2dppz]2+, which were mixed via centrifugation to produce ECL signals. The developed sensing platform effectively detected Mpox virus with high sensitivity, and the limit of detection was as low as 10 copies/µL. Moreover, it showed 100 % sensitivity and 100 % specificity when validated against the quantitative polymerase chain reaction assay using clinical samples from the pustules, throat, urine, blood, saliva, and anus of Mpox-positive patients. Combined with a hand-held detection device, this platform can facilitate the early diagnosis of Mpox cases in point-of-care testing without trained personnel and specialized equipment.

RBFsim – A tool for early planning stage of riverbank filtration systems

Riverbank filtration (RBF) is increasingly being considered an effective method to support the management of water supply and the management of groundwater-river water exchange. Literature, however, provides very limited methods for the initial evaluation of the RBF system. Specifically, initial evaluations need to rely on limited data, be cost-effective, and provide sufficient useful output. The paper provides the development of a tool called RBFsim, designed for the early assessment of flow hydraulics in a riverbank filtration (RBF) scheme during site selection and optimization of well operation. The developed tool allows simplified computation (based on the Analytical Element Method or AEM) of the flow field for single and multiple wells in a 2D homogeneous and isotropic aquifer with uniform flow. The tool superimposes analytical solutions for key RBF quantities such as residence time (the time required for river water to reach the well) and the proportions of water (contributed by the river and groundwater) in the well discharge. These solutions are superimposed on the developed flow field. Additionally, the tool can be used to evaluate the impact of riverbed clogging on the operation of the RBF system. The simplified computation due to AEM and limited data requirements allows the tool to be used in handheld (smartphones) or desktop devices with or without internet connection. RBFsim results are verified by comparing them with results from MODFLOW and MODPATH simulations, which are based on entirely different (finite difference) computational schemes. The obtained results from both these models match within the error margin of less than 5%. Further, the practicality and applicability of RBFsim are illustrated using synthetic and field data. While the tool provides a matching river water contribution ratio with field data, it demonstrates the best-fit residence times primarily for higher well discharge rates. These limitations are attributed to complexities observed in the field, such as a heterogeneous aquifer and nonuniform flow. Overall, the developed tool simplifies the complex computations required, particularly for assessing the feasibility and risk of RBF schemes. The developed tool’s methods and code are open-sourced (licensed under CC-BY 4.0), which promotes personalized modifications and extensions.

Assessing ventilation through ambient carbon dioxide concentrations across multiple healthcare levels in Ghana.

Infection prevention and control (IPC) measures safeguard primary healthcare systems, especially as the infectious disease landscape evolves due to climate and environmental change, increased global mobility, and vaccine hesitancy and inequity, which can introduce unexpected pathogens. This study explores the importance of an "always-on," low-cost IPC approach, focusing on the role of natural ventilation in health facilities, particularly in low-resource settings. Ambient carbon dioxide (CO2) levels are increasingly used as a measure of ventilation effectiveness allowing for spot checks and targeted ventilation improvements. Data were collected through purposive sampling in Northern Ghana over a three-month period. Levels of CO2 ppm (parts per million) were measured by a handheld device in various healthcare settings, including Community-Based Health Planning and Services (CHPS) facilities, municipal and teaching hospitals, and community settings to assess ventilation effectiveness. Analyses compared CO2 readings in community and hospital settings as well as in those settings with and without natural ventilation. A total of 40 facilities were evaluated in this study; 90% were healthcare facilities and 75% had natural ventilation (with an open window, door or wall). Facilities that relied on natural ventilation were mostly community health centers (60% vs 0%) and more commonly had patients present (83% vs 40%) compared with facilities without natural ventilation. Facilities with natural ventilation had significantly lower CO2 concentrations (CO2 ppm: 663 vs 1378, p = 0.0043) and were more likely to meet international thresholds of CO2 < 800 ppm (87% vs 10%, p = <0.0001) and CO2 < 1000 ppm (97% vs 20%, p = <0.0001). The adjusted odds ratio of low CO2 in the natural facilities compared with non-natural were: odds ratios, OR (95% CI): 21.7 (1.89, 247) for CO2 < 800 ppm, and 16.8 (1.55, 183) for CO2 < 1000 ppm. Natural ventilation in these facilities was consistently significantly associated with higher likelihood of low CO2 concentrations. Improved ventilation represents one cost-effective layer of IPC. This study highlights the continuing role natural ventilation can play in health facility design in community health care clinics. Most health facilities met standard CO2 thresholds, particularly in community health facilities. Further research is needed to optimize the use of natural ventilation. The use of a handheld devices to track a simple metric, CO2 levels, could improve appreciation of ventilation among healthcare workers and public health professionals and allow for them to target improvements. This study highlights potential lessons in the built environment of community primary health facilities as a blueprint for low-cost, integrated multi-layer IPC measures to mitigate respiratory illness and anticipate future outbreaks.

Deep Learning for Point-of-Care Ultrasound Image Quality Enhancement: A Review

The popularity of handheld devices for point-of-care ultrasound (POCUS) has increased in recent years due to their portability and cost-effectiveness. However, POCUS has the drawback of lower imaging quality compared to conventional ultrasound because of hardware limitations. Improving the quality of POCUS through post-image processing would therefore be beneficial, with deep learning approaches showing promise in this regard. This review investigates the state-of-the-art progress of image enhancement using deep learning suitable for POCUS applications. A systematic search was conducted from January 2024 to February 2024 on PubMed and Scopus. From the 457 articles that were found, the full text was retrieved for 69 articles. From this selection, 15 articles were identified addressing multiple quality enhancement aspects. A disparity in the baseline performance of the low-quality input images was seen across these studies, ranging between 8.65 and 29.24 dB for the Peak Signal-to-Noise Ratio (PSNR) and between 0.03 an 0.71 for the Structural Similarity Index Measure (SSIM). In six studies, where both the PSNR and the SSIM metrics were reported for the baseline and the generated images, mean differences of 6.60 (SD ± 2.99) and 0.28 (SD ± 0.15) were observed for the PSNR and SSIM, respectively. The reported performance outcomes demonstrate the potential of deep learning-based image enhancement for POCUS. However, variability in the extent of the performance gain across datasets and articles was notable, and the heterogeneity across articles makes quantifying the exact improvements challenging.

(Invited) Smartphone-Based Nanosensors for Environmental, Food Safety, and Health Monitoring

: Biosensors are a modern engineering marvel with widespread applications across diverse areas, including healthcare, environmental monitoring, microbiology, and food safety and security. The integration of nanotechnology with biosensor technology has led to novel sensing mechanisms, significantly enhancing performance and sensing capabilities beyond the constraints of traditional methods. In our laboratory, several nanotechnology-enabled biosensors have been developed to overcome the limitations of current bioanalytical methods, particularly in terms of sensitivity, throughput, ease-of-use, and miniaturization. We have synthesized various innovative nanomaterials, such as protein cages, single-atom nanozymes, and mesoporous bimetal nanoparticles. These materials have been crucial in the fabrication of 3D printed nano-immunosensors, which are effective in detecting pesticides, food pathogens, and exposure biomarkers.My research specifically focuses on the development of nanotechnology-enhanced biosensors that leverage these novel nanomaterials. This endeavor aims to revolutionize biosensor fabrication, with a particular emphasis on creating new, handheld devices. These devices are designed for rapid, on-site detection of molecules, offering immense potential for point-of-care diagnostics. The integration of these biosensors with smartphone technology has further opened avenues for real-time data analysis and sharing, making them invaluable tools for environmental, food safety, and health monitoring. This talk will delve into the specifics of these developments, highlighting the innovative approaches and potential impacts of smartphone-based nanosensors in various sectors.

Novel treatment of infectious keratitis in canine corneas using ultraviolet C (UV-C) light.

To investigate the therapeutic effect of 275 nm wavelength ultraviolet C (UV-C) light for treatment of bacterial keratitis in canine corneas using an affordable, broadly available modified handheld device. UV-C therapy (UVCT) was evaluated in two experiments: invitro using triplicates of three bacterial genera (Staphylococcus, Streptococcus, Pseudomonas spp., and a mix of all species) where the UVCT was performed at a distance of 10, 15, and 20 mm with 1 or 2 doses (4 h apart) for 5, 15, or 30 s; exvivo model where healthy canine corneal buttons were inoculated superficially and deep (330 μm) with the same bacterial isolates and treated at a 10 mm distance for 15 s with one dose of 22.5 mJ/cm2. Fluorescent marker (STYO9-PI) was used to label (green = live bacteria, red = dead bacteria), and confocal microscopy was used to image the bacteria. In vitro results showed all plates treated with UVCT had 100% bactericidal effect for all isolates with single dose of 15 s at 10 mm distance or two doses, 4 h apart at 15 mm and was ineffective with single dose at 15-20 mm. The exvivo results confirmed a significant decrease in bacterial load for all isolates on samples inoculated superficially but were inconclusive for intrastromal ones. UVCT confirmed the therapeutic potential for all tested isolates, for both invitro and exvivo experiments using a single exposure of 15 s. While safety studies are underway, clinical trials are warranted.

A Low-Cost Handheld Centrifugal Microfluidic System for Multiplexed Visual Detection Based on Isothermal Amplification.

A low-cost, handheld centrifugal microfluidic system for multiplexed visual detection based on recombinase polymerase amplification (RPA) was developed. A concise centrifugal microfluidic chip featuring four reaction units was developed to run multiplexed RPA amplification in parallel. Additionally, a significantly shrunk-size and cost-effective handheld companion device was developed, incorporating heating, optical, rotation, and sensing modules, to perform multiplexed amplification and visual detection. After one-time sample loading, the metered sample was equally distributed into four separate reactors with high-speed centrifugation. Non-contact heating was adopted for isothermal amplification. A tiny DC motor on top of the chip was used to drive steel beads inside reactors for active mixing. Another small DC motor, which was controlled by an elaborate locking strategy based on magnetic sensing, was adopted for centrifugation and positioning. Visual fluorescence detection was optimized from different sides, including material, surface properties, excitation light, and optical filters. With fluorescence intensity-based visual detection, the detection results could be directly observed through the eyes or with a smartphone. As a proof of concept, the handheld device could detect multiple targets, e.g., different genes of African swine fever virus (ASFV) with the comparable LOD (limit of detection) of 75 copies/test compared to the tube-based RPA.

Acute Effects of Handheld Vibration Massage on Posterior Shoulder Soft Tissues.

Interventions using vibration stimulation have been recognized for their potential for increasing range of motion (ROM) without compromising muscle strength. Handheld vibration massagers can efficiently deliver vibration therapy to the shoulder joint and may be a potential treatment. To evaluate the effects of vibration massage using a handheld device on the soft tissues of the posterior shoulder joint, particularly on internal rotation (IR) passive ROM and external rotation (ER) muscle strength. Crossover study design. A crossover study with a 5-min vibration massage and passive control condition was conducted in healthy male volunteers (mean age 20.5 ± 1.7 years). Vibration massage was applied to the posterior shoulder soft tissues of the dominant arm, with no intervention under control conditions. IR-ROM (vertebral level and in abduction) and strength of the external rotators (isometric and isokinetic) were measured before and immediately after the intervention. Vertebral levels were calculated as a ratio of lengths (ratio decreases with increased mobility). IR-ROM in abduction, the angle was measured. Statistical analysis was performed with two-way repeated measures ANOVA and paired t-test (Bonferroni correction). Vibration application decreased (improved) vertebral level IR ROM by -4.1% (p < 0.01, d = 0.445) and increased abduction position IR ROM by 11.4° (p < 0.01, d = 0.694). These changes exceeded the 95% confidence interval for the minimum detectable change. By contrast, the control condition produced no changes. IR-ROM (vertebral level and abduction) immediately after the intervention showed significant differences between the control and vibration conditions (p = 0.036, d = 0.273; p = 0.048, d = 0.483, respectively). Muscle strength did not show any interaction, time, or between-condition effects. A massage using a handheld vibration massager applied to the posterior shoulder soft tissues increased IR-ROM without negatively affecting muscle strength, suggesting its potential use as a means of warming up. Level 3.

Remote pulmonary pathology diagnosis using a handheld device for acquiring lung sounds at the mouth: a proof of concept study

IntroductionObtaining relevant information about respiratory conditions is a unique challenge in the rapidly growing field of telehealth. While auscultation using a stethoscope remains the first-line method in primary care, it is not a practical solution in a home setting, as it requires the presence of both a skilled caregiver and experienced interpreter online. We conducted a proofofconcept study of a simple selfcheck thermometer-like device (OmnySense®), which acquires auscultatory data through a microphone in the head of the device.ObjectivesTo have a concept of proof that home handled simplified device can asure a remote opion in telemedicine enhancing prompt and ease way to diagnose lung pathologies.MethodsWe assessed the agreement between subjective evaluations of lung sounds using the device and those using a digital stethoscope for the presence of crackles and/or wheezes. A total of 385 recordings from 13 patients admitted to the internal department were blindly, individually, and randomly assessed by three experienced physicians. The intra-modality agreement for crackles between evaluators was moderate for both the device and the stethoscope, with kappa statistics of 0.44 and 0.6 for the device and stethoscope, respectively, for the detection of wheezing and 0.46 and 0.4, respectively, for the crackles. The intermodality agreement was moderate for wheezes, with a kappa of 0.53, and was substantial for crackles, with a kappa of 0.71. Comparing the ability of crackles to diagnose pulmonary findings by imaging showed comparable sensitivity and specificity for both modalities.ConclusionsOur findings suggest that the diagnostic performance of OmnySense’s selfoperating device is similar to that of physician interpretation of digital stethoscope recordings; thus, OmnySense has the potential to become a useful tool in the remote assessment of respiratory conditions and pathologies.

Battery-less long-range wireless fluidic sensing system using flexible additive manufacturing ambient energy harvester and microfluidics

Fluid sensing has been an important but missing part of the massive Internet-of-Things sensor networks due to challenges including excessive manufacturing time/cost, finite wireless interrogation range, limited immunity to ambient clutter, and excessive required power for autonomous microfluidics operability. Here, we proposed an additive manufacturing flexible system as a solution to those challenges while enabling fluid analysis from controlled labs to virtually everywhere. Energy harvesting provides all required power for the actuation of the micro-pump enabling battery-less liquid sample acquisition. Energy sources including ultra-high-frequency radio frequency identification and hand-held devices like two-way talk radio are harvested simultaneously to support energy requirements for periodic monitoring every 6.6 min and on-demand monitoring within 4.63 s. Backscattering topologies are used to significantly extend the reading range while increasing the immunity to interferences and reducing the cost to the reader. A new additive manufacturing process is proposed to reduce fabrication time and cost while enabling massive scalability of flexible microfluidics. The good flexibility makes the system suitable for working toward future wearable applications. Prototypes of a sweat sensing system are demonstrated and successfully interrogated at 3 m with more than 15 dB signal-to-noise ratio using only a 14 dBm transmitter equivalent isotropic radiated power.

Examining the changes in strength and mechanical property of dynamic stabilizers of the medial elbow joint through repetitive pitching

The flexor-pronator muscles (FPM) and their common tendon (CT) are essential in protecting the medial ulnar collateral ligament against elbow valgus stress during pitching. This study aimed to investigate the effect of repetitive pitching on FPM strength and CT stiffness. Fifteen healthy males (mean age: 21.8 ± 1.3-years-old) with over 5 years of baseball experience performed a series of 100 full-effort fastball pitches. We measured grip and isolated digital flexion strength of the second, third, and fourth digits before and after the pitching task. The decline in muscle strength was determined using the rate of change in muscle strength after pitching relative to that before. CT stiffness was measured using a hand-held myotonometer device at rest and during grip motion at 50% maximum voluntary contraction. The increase in CT stiffness during grip motion relative to rest was calculated as the augmentation rate of CT stiffness. Statistical analyses were performed to compare the changes in grip strength, digital flexion strength, and CT stiffness due to pitching. Additionally, the reduction rate of muscle strength was compared among various strength variables. Correlation coefficients were used to evaluate the relationships between the augmentation rate of CT stiffness after pitching and the reduction rate in any muscle strength. Grip and isolated digital flexion strengths decreased significantly after pitching (P < 0.01). The decline in muscle strength was significantly higher for all isolated digital strengths than that for grip strength (P < 0.05). CT stiffness was augmented with grip motion compared to that at rest pre- and post-pitching (P < 0.001). However, no change in CT stiffness due to pitching was observed, regardless of the grip motion (P > 0.05). Additionally, a lower augmentation rate of CT stiffness after pitching was moderately associated with the greater reduction rate of the second digital flexion strength (r = 0.607, P = 0.016) without other relationships. This study found reduced grip and digital flexion strength after pitching; with no change in CT stiffness. However, given the consequences of correlation analyses, individuals with a more prominent reduction in second digital flexion strength due to pitching were impaired in CT stiffness augmentation after pitching. Digital flexion strength represents the strength of the flexor digitorum superficial; therefore, this study suggests that forearm FPM, particularly the second digit of the flexor digitorum superficial, is an important factor for enhancing CT stiffness.

Prehospital ultrasound in emergency medicine

Small, portable hand-held ultrasound devices nowadays enable awidespread use of prehospital point-of-care ultrasound (pPOCUS), which has so far only been used hesitantly, especially in ground-based emergency services. Many critical or even life-threatening conditions or internal injuries can often be better diagnosed or ruled out using pPOCUS, which can enable faster and more suitable goal-directed treatment and hospital transport. This article critically discusses relevant data, clinical benefits, limitations and challenges to be overcome when using pPOCUS for the most important life-threatening situations and aims to call for intensifying training and the extensive use of pPOCUS.

Personalized Exercise Prescription in Long COVID: A Practical Toolbox for a Multidisciplinary Approach.

To describe our methodology and share the practical tools we have developed to operationalize a multidisciplinary Long COVID clinic that incorporates progressive, personalized exercise prescription as a cornerstone feature. There is a lack of evidence-based guidance regarding optimal rehabilitation strategies for people with Long COVID. Existing guidelines lack precision regarding exercise dosage. As one of Australia's few established multidisciplinary Long COVID clinics, we describe our novel approach to safely incorporating exercise of both peripheral and respiratory muscles, with essential monitoring and management of post-exertional symptom exacerbation. Working closely with primary health-care providers, our multidisciplinary team screens referrals for people aged 16 and older with Long COVID. Staff apply a three tier model of triage, dependent on the consumer's presenting problems. Exercise-based interventions necessitate detailed monitoring for post-exertional symptom exacerbation both in the clinic and at home. Personalized exercise prescription includes resistance training at a submaximal threshold (4-6 exercises, 3 days/week); whole-body endurance exercise titrated to the individual's progress, at an intensity 4-6/10 (Rate of Perceived Exertion); and for those limited by dyspnoea, high-intensity inspiratory muscle training using a threshold-based handheld device (30 repetitions per day, ≥50% of their maximum inspiratory pressure). We have used these approaches for the past 2 years in 250 consumers with no serious adverse events and promising consumer feedback. Our exercise prescription is less conservative than the methods advocated in international guidelines for people with Long COVID, and these more progressive tools may be valuable in other contexts. In our experience, a multidisciplinary clinic-based approach to safely prescribing progressive exercise in Long COVID is feasible. Both peripheral and inspiratory muscle exercise can be effectively titrated to each individual's symptoms, and careful monitoring for post-exertional symptom exacerbation is crucial.

Comparison Subjective and Objective Chromoretinoscopy

Subjective duochrome (chromoretinoscopy) is a method of analyzing the refraction of light in the eye using a small, hand-held device called a duochrome. The device consists of a light source and two filters; one red and other is green. The light is shone into the eye, and the filters are used to measure the amount of light that is absorbed or scattered by the eye. It relies on the observations and interpretation of the person performing the test. The results of the test can be influenced by factors such as the skill and experience of the person performing the test, as well as the patient's cooperation and willingness to follow instructions. Objective duochrome (chromoretinoscopy) is a method of analyzing the refraction of light in the eye using an automated device. The device uses a light source and two filters, similar to the subjective duochrome, but it also includes a computerized system for measuring and analyzing the results. It relies on the automated measurement and analysis of the results, rather than on the observations and interpretation of the person performing the test. As a result, it is generally considered to be more accurate and reliable than subjective duochrome chromoretinoscopy. To compare retinoscopy using colored filters (chromo-retinoscopy) with the conventional subjective duochrome method. All people between the ages of 16-35 years are included in this study whose responses are reliably taken in the subjective part of this study. Emmetropic, any kind of ametropic people have included in the study. The people were excluded with variable or unreliable responses, having any ocular pathology, and tired and irritated people. The difference between subjective and objective duochrome tests is 0.006 diopters. Statistically, this is not a significant difference. The objective duochrome technique (chromoretinoscopy) yields highly correlating values to subjective duochrome values. Thus, this technique can be relied on and can be added as a part of regular workup in clinics.

Eight element MIMO antenna for sub 6 GHz 5G cellular devices

This article introduces a wide-band MIMO antenna system with eight elements specifically designed for future handheld devices. The antenna is integrated into a 150 × 75 mm2 main board with a DGS antenna beneath it, connected to feed lines, and etched onto the ground plane. Covering two distinct 5G bands from 3 GHz to 3.6 GHz and from 3.6 GHz to 3.9 GHz, with 900 MHz impedance bandwidths, this antenna enables efficient data transmission and reception across these crucial frequency ranges. The system exhibits pattern and spatial diversity characteristics, achieving an overall efficiency of 40%–60% and a peak gain of 5.3 dBi, ensuring robust signal strength and isolation exceeding 10 dB among radiating elements. Furthermore, the antenna excels in key MIMO parameters, with an envelope correlation coefficient (ECC) below 0.19, well within the industry standard of less than 0.5, and it delivers more than 9.99 dB of diversity gain. Furthermore, Channel capacity Loss (CCL), Mean Effective Gain (MEG) and Total Active Reflection Co-efficient (TARC) across the entire operational band ensure good performance, promising enhanced diversity performance, superior data throughput, and heightened signal reliability. are The SAR analysis conducted yielded positive results within the human vicinity. The measurements obtained from the prototype matched well with simulations and through measurements obtained the proposed MIMO system can be termed as a potential candidate for future 5G Mobile Phones.

A Novel Hand-held Multi-color Magnetic Particle Imaging Device based on Rapid Frequency Conversion.

Multi-color Magnetic Particle Imaging (MPI) technology offers high sensitivity and non-invasive imaging capabilities. It can simultaneously image multiple superparamagnetic iron oxide nanoparticles (SPIOs), facilitating more precise detection of multiple molecular markers in vivo. However, the fixed drive frequency of existing hand-held MPI devices makes it difficult to fully match the nonlinear magnetic response of different SPIOs, affecting the spatial resolution and quantitative accuracy of multi-color imaging. We designed a novel rapid frequency conversion based hand-held multi-color magnetic particle imaging (RFC-MPI) device. This device adjusts the drive frequency based on the nonlinear magnetic response of SPIOs at different frequencies, effectively expanding the system matrix information and thereby improving spatial resolution and multi-color imaging capabilities simultaneously. The device achieved a spatial resolution of 2 mm and an imaging speed of 1 frame/s. The scanning depth is 8 mm. It was used to scan a 22 cm x 22 cm area of a human-shaped phantom, verifying its potential for scanning humans. The ability of the device to identify and quantify SPIOs was validated using mice breast tumors. The quantitative accuracy during simultaneous imaging was determined to be 96.58%. Due to its innovative structural design and rapid frequency conversion method, the RFC-MPI device exhibits excellent in vivo imaging performance. Both simulation and phantom experiments have verified the effectiveness of the proposed method. The hand-held RFC-MPI device can effectively improve the spatial resolution and quantitative accuracy of multi-color MPI, laying the foundation for future clinical applications.

Screening Accuracy for Developmental Dysplasia of the Hip by Child Health Nurses.

Developmental Dysplasia of the Hip (DDH) describes a spectrum of abnormalities that impact the normal function of the joint. These abnormalities are detectable during infancy using physical assessment, universal ultrasound, or a combination of both. In Australia, child health nurses predominantly screen for this disease using physical assessment. The aim of this study was to determine if child health nurses can accurately screen for DDH using physical assessment. This Australian study estimated the accuracy and utility of child health nurses using physical assessment to screen for DDH by comparing it to a handheld ultrasound device. This study (N = 44) concluded that using a point prevalence study design, child health nurses in Australia are unable to accurately assess for DDH in infants using physical assessment; overall, clinicians had 50.5% sensitivity (95% CI, 15.7 to 84.3), a specificity of 75.0% (95% CI, 57.8 to 87.9), and 71.3% accuracy (95% CI, 55.6 to 83.9). This study suggests that child health nurses cannot screen for DDH using physical assessment. Understanding education, experience and what assessments are used suggests that the utility of nurses performing DDH screening requires further investigation.