Heart Rate Measurements Research Articles

Associations of Amino Acids with the Risk of Prediabetes: A Case-Control Study from Kazakhstan.

The high global prevalence of prediabetes requires its early identification. Amino acids (AAs) have emerged as potential predictors of prediabetes. This study investigates the association between amino acids and prediabetes in the Kazakh population. In this case-control study, serum AAs levels were measured using the Trace GC 1310 gas chromatography system coupled with the TSQ 8000 triple quadrupole mass spectrometer (Thermo Scientific, Austin, TX, USA) followed by silylation with the BSTFA + 1% TMCS derivatization method. Biochemical parameters, including total cholesterol, HDL-C, LDL-C, triglycerides, fasting glucose, HbA1c, and Creatinine, were assessed for each participant. Trained professionals conducted anthropometric and physical examinations (which included taking blood pressure and heart rate measurements) and family history collection. A total of 112 Kazakh individuals with prediabetes and 55 without prediabetes, aged 36-65 years, were included in the study. Only Alanine and valine showed a significant association with prediabetes risk among the 13 AAs analyzed. Our findings revealed an inverse relationship between Alanine and Valine and prediabetes in individuals of Kazakh ethnicity. A lower serum level of Alanine and Valine may serve as a predictive biomarker for prediabetes in the Kazakh population.

Overcoming the challenge of obtaining reliable heart and pulse rate measurements in reptiles.

Overcoming the challenge of obtaining reliable heart and pulse rate measurements in reptiles.

Comparing peripheral limb and forehead vital sign monitoring in newborn infants at birth.

To study the feasibility of measuring heart rate (HR) and oxygen saturation (SpO2) on the forehead, during newborn transition at birth, and to compare these measurements with those obtained from the wrist. Vital signs were measured and compared between forehead-mounted reflectance (remittance) photoplethysmography sensor (fhPPG) and a wrist-mounted pulse oximeter sensor (wrPO), from 20 enrolled term newborns born via elective caesarean section, during the first 10 min of life. From the datasets available (n = 13), the median (IQR) sensor placement times for fhPPG, ECG and wrPO were 129 (70) s, 143 (68) s, and 159 (76) s, respectively, with data recorded for up to 10 min after birth. The success rate (percentage of total possible HR values reported once sited) of fhPPG (median = 100%) was higher compared to wrPO (median = 69%) during the first 6 min of life (P < 0.005). Both devices exhibited good HR agreement with ECG, achieving >95% agreement by 3 (fhPPG) and 4 (wrPO) min. SpO2 for fhPPG correlated with wrPO (r = 0.88), but there were significant differences in SpO2 between the two devices between 3 and 8 min (P < 0.005), with less variance observed with fhPPG SpO2. In the period of newborn transition at birth in healthy term infants, forehead measurement of vital signs was feasible and exhibited greater HR accuracy and higher estimated SpO2 values compared to wrist-sited pulse oximetry. Further investigation of forehead monitoring based on the potential benefits over peripheral monitoring is warranted. This study demonstrates the feasibility of continuously monitoring heart rate and oxygen saturation from an infant's forehead in the delivery room immediately after birth. Significantly higher SpO2 measurements were observed from the forehead than the wrist during the transition from foetal to newborn life. Continuous monitoring of vital signs from the forehead could become a valuable tool to improve the delivery of optimal care provided for newborns at birth.

Postprandial Symptoms in a Mixed-Meal-Test after Bariatric Surgery: Clinical Experience and a Critical Review of Dumping Syndrome Definition and Management

Plain Language SummaryDumping syndrome (DS) is a set of symptoms, which may occur in patients after bariatric surgery (weight loss surgery). These symptoms occur after meals and are attributed to a fast passage of food through the surgically altered stomach and intestine. The symptoms of DS include fainting, the need to lie down, shortness of breath, and dizziness. Current recommendations suggest measuring heart rate, taking laboratory measurements and comparing these to diagnostic criteria during a provocation test with a glucose solution. We have been using a so-called Mixed-Meal Test to evaluate the patients’ symptoms at our clinic. Patients would eat a meal designed according to recommendations for patients after bariatric surgery, made of curd, oats, apple sauce, and walnuts. Then, their symptoms, blood pressure, and blood samples would be collected for 180 min. We looked at the data from all 56 tests, we had performed at our clinic, and compared the measurements, which we had obtained, to the diagnostic criteria and symptoms reported. While all patients reported symptoms at home, only 28% reported typical symptoms during the test. We did not find meaningful associations between measurements taken by us and symptoms reported by patients. This study shows that many patients do not display typical symptoms under controlled conditions. At the same time, the diagnostic criteria seem to be unrelated to symptoms. It is not the first study showing discrepancies between measurements, diagnostic criteria, and symptoms. The current tests used for diagnosing DS may not be clinically useful and the whole concept of DS after bariatric surgery may need to be reevaluated.

Assessment of heart rate measurements by commercial wearable fitness trackers for early identification of metabolic syndrome risk

Metabolic syndrome increases the risks of cardiovascular diseases, type 2 diabetes, and certain cancers. The early detection of metabolic syndrome is clinically relevant, as it enables timely and targeted interventions. In the current study, we aimed to investigate the association between metabolic syndrome and heart rate measured using wearable devices in a real-world setting and compare this association with that for clinical resting heart rate. Data from 564 middle-aged adults who wore wearable devices for at least 7 days with a minimum daily wear time of 20 h were analyzed. The results showed significantly elevated all-day, sleeping, minimum, and inactive heart rates in men with pre-metabolic or metabolic syndrome compared with those in normal individuals, whereas sleeping heart rate and heart rate dips were significantly increased and decreased, respectively, in women with metabolic syndrome. After adjusting for confounders, every 10-beats-per-minute increment in all-day, sleeping, minimum, and inactive heart rates in men corresponded to odds ratios of 2.80 (95% confidence interval 1.53–5.44), 3.06 (1.57–6.40), 4.21 (1.87–10.47), and 3.09 (1.64–6.29), respectively, for the presence of pre-metabolic or metabolic syndrome. In women, the association was significant only for heart rate dips (odds ratio = 0.49 [95% confidence interval 0.25–0.96] for every 10% increment). Models incorporating inactive or minimum heart rate in men and heart rate dip in women demonstrated better fits, as indicated by lower Akaike information criterion values (170.3 in men and 364.9 in women), compared with models that included clinical resting heart rate (173.4 in men and 369.1 in women). These findings suggest that the heart rate indices obtained from wearable devices may facilitate early identification of metabolic syndrome.

Detection of a stress related acoustic signature by passive acoustic monitoring in Atlantic salmon farming

Crowding is a necessary operation for moving fish out of or between sea cages in Atlantic salmon farming. These operations consist of gradually reducing available volume in the nets to increase the biomass density. This is known to stress the fish, increase risk of injury, and can in extreme cases increase mortality rates. To reduce the negative impacts of crowding, the operation must be adjusted based on real-time monitoring of fish welfare. Today, this is mainly done by manually monitoring surface activity, as the high fish density limits the use of available tools. In this paper a new approach for monitoring was applied to crowding of meso-scale cages containing 40 fish each, using automatic detection of passive acoustic signatures. Four synchronised hydrophones were deployed and the acoustic signature was defined from the recordings. The automatic detection algorithm recorded an extreme increase in registered acoustic events during crowding, as high as 1000 events per 10 min period, compared to only 20 events per 10 min period on the day following crowding. Correlating the number of acoustic events to recorded heart rate and activity measures from implants in the salmon indicate that automatically registering acoustic events is a promising method for monitoring farmed fish.

Assessing the psychobiological demands of high-fidelity training in pre-hospital emergency medicine

BackgroundIndividuals who provide critical emergency care mount rapid psychobiological responses when faced with an incident. These responses are adaptive and ensure resources at time of demand; however, frequent activation with minimal opportunity for recovery can have negative consequences for health and wellbeing. Monitoring individuals in real emergency situations would provide an understanding of their stress responses during the provision of critical care; however, this presents logistical challenges. An alternative is to assess individuals during high-fidelity training scenarios. This is the first comprehensive assessment of psychobiological responding during continuous high-fidelity training in pre-hospital emergency medicine.MethodsA sample of doctors and paramedics (N = 27) participated during 10 days of training and a weekend of no activities. Training involved the acquisition of human factors, non-technical and surgical skills, and their application in complex high-fidelity scenarios including road-traffic accidents, firearms incidents, and swift water rescue operations. On each day participants reported levels of state, cognitive, and somatic anxiety, and self-confidence following waking and before sleep, and their anticipated (at wake) and experienced (before sleep) demands of the day. Saliva samples were obtained each day for assessment of diurnal cortisol indices and the Cortisol Awakening Response (CAR). Garmin smartwatches were worn throughout for the collection of heart rate and HRV-derived stress.ResultsThere were significant (p < 0.001) differences across days for state, cognitive, and somatic anxiety; self-confidence; anticipated and experienced demands; aggregated measures of heart rate and HRV-derived stress; levels of cortisol at waking (p = 0.002) and for the CAR (p < 0.001). Measures of psychobiological responding during training were distinct from the weekend and the highest levels of psychobiological responding occurred on days characterised by greater anticipated and experienced demands.DiscussionThis high-fidelity training is typical of the day-to-day requirements of emergency services and these observations are representative of functioning during real-life critical care emergencies. Increased responding during times of demand is adaptive; however, frequent and sustained responding increases allostatic load and is a contributor to burnout. As burnout is a significant concern in emergency medicine, this study identifies patterns of responding and recovery that may impact upon longer-term health and wellbeing.

Dexmedetomidine-propofol versus ketamine-propofol for sedation of cancer patients undergoing computerized tomography guided bone biopsy: a randomized double-blind trial

Background &amp; Objective: Patients suffering from malignancy, often need to undergo computed tomography (CT) for evaluation or for CT-guided bone biopsy. They are shifted to the radio-diagnostic suite and require sedation and analgesia during this procedure. We compared the efficacy and safety of combining dexmedetomidine (DEX) or ketamine with propofol for better sedation among these patients undergoing CT-guided bone biopsy. Methodology: This randomized, double-blind study was done on 60 adult cancer patients undergoing CT-guided bone biopsy. Patients were randomized into two equal groups. Group D received DEX 1 µg/kg (over 10 min) + propofol 2.5 mg/kg intravenous (IV). It was followed by DEX 0.5 µg/kg/h + propofol 2.5 mg/kg/h infusion. Group K received ketamine 1 mg/kg + propofol 2.5 mg/kg IV, followed by ketamine 0.25 mg/kg/h + propofol 2.5 mg/kg/h infusion. Results: The total intra-procedure propofol consumption was significantly decreased in Group D than in Group K (P &lt; 0.05). The visual analog scale score at 15 min and 30 min post-procedure, number of patients requiring morphine and paracetamol within one hour of procedure and the recovery times were significantly decreased in Group D than in Group K (P &lt; 0.05). Mean arterial pressure (MAP) and heart rate (HR) measurements at 10 min, 20 min, end of the procedure, and 15 min, 30 min post-procedure was significantly decreased in Group D than in Group K (P &lt; 0.05). Adverse events, e.g., postoperative nausea and vomiting, hypotension, and bradycardia, were comparable. Conclusion: DEX-propofol combination had superior sedation efficacy as noted through lower pain scores, intraprocedural propofol or postprocedural morphine and paracetamol consumption, and the shorter recovery time during CT-guided bone biopsy compared to ketamine-propofol combination. However, ketamine-propofol combination exhibited superior hemodynamic stability, as shown by more consistent HR and MAP. Keywords: Dexmedetomidine; Ketamine; Propofol; Computed tomography; Bone biopsy; Morphine Citation: Abdelgalil AS, Mohammed AM, Abdelrahman AS, Zayed NOA. Dexmedetomidine-propofol versus ketamine-propofol for sedation of cancer patients undergoing computerized tomography guided bone biopsy: a randomized double-blind trial. Anaesth. pain intensive care 2024;28(5):809−815; DOI: 10.35975/apic.v28i5.2554 Received: Jun 17, 2024; Reviewed: Jul 31, 2024; Accepted: Aug 19, 2024

Feasibility of Monitoring Heart and Respiratory Rates Using Nonwearable Devices and Consistency of the Measured Parameters: Pilot Feasibility Study.

As Japan is the world's fastest-aging society with a declining population, it is challenging to secure human resources for care providers. Therefore, the Japanese government is promoting digital transformation and the use of nursing care equipment, including nonwearable devices that monitor heart and respiratory rates. However, the feasibility of monitoring heart and respiratory rates with nonwearable devices and the consistency of the rates measured have not been reported. In this study, we focused on a sheet-type nonwearable device (Safety Sheep Sensor) introduced in many nursing homes. We evaluated the feasibility of monitoring heart rate (HR) and respiratory rate (RR) continuously using nonwearable devices and the consistency of the HR and RR measured. A sheet-type nonwearable device that measured HR and RR every minute through body vibrations was placed under the mattress of each participant. The participants in study 1 were healthy individuals aged 20-60 years (n=21), while those in study 2 were older adults living in multidwelling houses and required nursing care (n=20). The HR was measured using standard methods by the nurse and using the wearable device (Silmee Bar-type Lite sensor), and RR was measured by the nurse. The primary outcome was the mean difference in HR and RR between nonwearable devices and standard methods. The mean difference in HR was -0.32 (SD 3.12) in study 1 and 0.04 (SD: 3.98) in study 2; both the differences were within the predefined accepted discrepancies (<5 beats/min). The mean difference in RR was -0.98 (SD 3.01) in study 1 and -0.49 (SD 2.40) in study 2; both the differences were within the predefined accepted discrepancies (3 breaths/min). HR and RR measurements obtained using the nonwearable devices and the standard method were similar. Continuous monitoring of vital signs using nonwearable devices can aid in the early detection of abnormal conditions in older people.

Ultrasound-guided erector spinae plane block in radical cystectomy: a randomized controlled study

Background &amp; Objectives: Radical cystectomy (RC) is usually performed under general anesthesia, with the management of postoperative pain being a big challenge. Various approaches have been tried, including epidural analgesia, or regional nerve blocks in addition to the intravenous patient-controlled analgesia (IV-PCA). We compared the efficacy and safety of bilateral single-injection erector spinae plane block (ESPB) with IV-PCA administered morphine to manage postoperative pain following RC. Methodology: This prospective randomized controlled clinical study was performed on 60 participants ranging in age from 21 to 65 years, both sexes, BMI 20-40 kg/m2, ASA physical status II-III, planned for elective RC. Participants were randomized into two equal groups. Group ESPB received ultrasound-guided single shot ESPB at T10 with 20 mL bupivacaine 0.25% bilaterally; IV morphine 3 mg bolus was used as rescue analgesia when the Numeric Rating Scale (NRS) pain score was ≥ 4. Group C (control group) received IV-PCA by morphine 3 mg IV when NRS pain score was ≥ 4 and repeated 1/2 mg if still pain score was recorded ≥ 4 for 15 min. Pain was measured on NRS at 2 , 4 , 8, and 12 h as well as the postoperative heart rate (HR) and mean arterial blood pressure (MAP). Complications were noted, Results: Time to first analgesic request was substantially prolonged in Group ESPB compared to Group C (P &lt; 0.001). Total postoperative consumption of morphine in 1st 48 h and postoperative nausea and vomiting were substantially reduced in Group ESPB compared to Group C (P &lt; 0.05). NRS pain scores, postoperative HR and MAP measurements were substantially reduced at 2, 4, 8, and 12 h in Group ESPB than Group C (P &lt; 0.05). Bradycardia and hypotension varied insignificantly different between both groups. Respiratory depression and urinary retention did not occur in any patient in both groups. Conclusions: Compared with IV-PCA administered morphine, bilateral single-injection ESPB was associated with better hemodynamics and analgesic properties, as observed by lower pain scores, less postoperative opioid consumption, and longer time to first analgesic request with good safety profile after radical cystectomy. Keywords: Ultrasound; Erector Spinae Plane Block; Radical Cystectomy; Patient-Controlled Analgesia Citation: Ahmed AM, Tantawy AM, Mahran E, Abd El Galil TE, Abd El Galil AS. Ultrasound-guided erector spinae plane block in radical cystectomy: a randomized controlled study. Anaesth. pain intensive care 2024;28(5):939−944; DOI: 10.35975/apic.v28i5.2568 Received: July 16, 2024; Reviewed: August 05, 2024; Accepted: August 29, 2024

Acupuncture as Adjuvant Therapy for Glaucoma: Protocol for a Randomized Controlled Trial.

Glaucoma is a chronic progressive optic neuropathy that necessitates lifelong treatment to reduce the decline of the optic nerve. Due to the extended and continuous treatments required for patients, complementary therapies are often considered alongside conventional treatments to enhance the effectiveness of the treatment. Acupuncture has demonstrated the potential to lower intraocular pressure in previous clinical trials, making it a promising glaucoma intervention. The primary objective of this study is to conduct a single-center randomized control trial involving patients with glaucoma. Acupuncture will be evaluated as an adjunctive therapy. The trial aims to explore its effectiveness for glaucoma. In this single-center randomized controlled trial, participants (N=50) with primary open-angle glaucoma will be randomly assigned to the treatment group, receiving ophthalmic acupuncture with "De Qi" sensation, or the control group, receiving minimum acupuncture stimulation on nonophthalmic acupoints. The intervention will consist of weekly acupuncture treatments for a total of 6 sessions. Participants will be assessed at 8 time points, which are baseline, during the intervention (6 times), and at a 3-month follow-up. The primary outcome measure is a change in the intraocular pressure before and after each acupuncture treatment. Secondary outcomes will include measurements of heart rate and blood pressure before and after acupuncture, best-corrected visual acuity, visual field, optical coherence tomography, optical coherence tomography angiography, the Glaucoma Symptom Scale, and the Glaucoma Quality of Life-15 questionnaire. Recruitment of participants for the trial commenced on June 28, 2023. A total of 10 participants have been enrolled to test the feasibility of the experiment. We anticipate that the preliminary data from this trial will be completed by December 2025. This trial uses rigorous methodology and comprehensive outcome measurements to assess the clinical efficacy of acupuncture as an adjunctive therapy for glaucoma, providing valuable insights for future clinical treatment guidelines. ClinicalTrials.gov NCT05753137; https://clinicaltrials.gov/study/NCT05753137. DERR1-10.2196/57888.

Virtual reality for preoperative patient education: Impact on satisfaction, usability, and burnout from the perspective of new nurses.

Traditional paper-based preoperative patient education is a struggle for new nurses and requires extensive training. In this situation, virtual reality technology can help the new nurses. Despite its potential benefits, there are studies on patient satisfaction but there is limited information on the usability of virtual reality (VR) technology for new nurses in giving preoperative education to patients. To investigate the impact on satisfaction, usability, and burnout of a system using VR technology in preoperative patient education. The study involved 20 nurses from the plastic surgery ward and 80 patients admitted between April and May 2019. Each nurse taught four patients: Two using traditional verbal education and two using virtual reality. The System Usability Scale, After-Scenario Questionnaire, and Maslach Burnout Inventory (MBI) were employed to evaluate the impact of these education methods. The VR education groups showed a statistically higher satisfaction than the traditional verbal education groups. Among the three subscales of the MBI, emotional exhaustion and personal accomplishment improved statistically significantly. VR was also better in terms of usability. This study suggests VR enhances usability and reduces burnout in nurses, but further research is needed to assess its impact on depersonalization and objective measures like stress and heart rate.

Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study.

Aging is a risk factor for falls, frailty, and disability. The utility of wearables to screen for physical performance and frailty at the population level is an emerging research area. To date, there is a limited number of devices that can measure frailty and physical performance simultaneously. The aim of this study is to evaluate the accuracy and validity of a continuous digital monitoring wearable device incorporating gait mechanics and heart rate recovery measurements for detecting frailty, poor physical performance, and falls risk in older adults at risk of falls. This is a substudy of 156 community-dwelling older adults ≥60 years old with falls or near falls in the past 12 months who were recruited for a fall prevention intervention study. Of the original participants, 22 participants agreed to wear wearables on their ankles. An interview questionnaire involving demographics, cognition, frailty (FRAIL), and physical function questions as well as the Falls Risk for Older People in the Community (FROP-Com) was administered. Physical performance comprised gait speed, timed up and go (TUG), and the Short Physical Performance Battery (SPPB) test. A gait analyzer was used to measure gait mechanics and steps (FRAIL-functional: fatigue, resistance, and aerobic), and a heart rate analyzer was used to measure heart rate recovery (FRAIL-nonfunctional: weight loss and chronic illness). The participants' mean age was 74.6 years. Of the 22 participants, 9 (41%) were robust, 10 (46%) were prefrail, and 3 (14%) were frail. In addition, 8 of 22 (36%) had at least one fall in the past year. Participants had a mean gait speed of 0.8 m/s, a mean SPPB score of 8.9, and mean TUG time of 13.8 seconds. The sensitivity, specificity, and area under the curve (AUC) for the gait analyzer against the functional domains were 1.00, 0.84, and 0.92, respectively, for SPPB (balance and gait); 0.38, 0.89, and 0.64, respectively, for FRAIL-functional; 0.45, 0.91, and 0.68, respectively, for FROP-Com; 0.60, 1.00, and 0.80, respectively, for gait speed; and 1.00, 0.94, and 0.97, respectively, for TUG. The heart rate analyzer demonstrated superior validity for the nonfunctional components of frailty, with a sensitivity of 1.00, specificity of 0.73, and AUC of 0.83. Agreement between the gait and heart rate analyzers and the functional components of the FRAIL scale, gait speed, and FROP-Com was significant. In addition, there was significant agreement between the heart rate analyzer and the nonfunctional components of the FRAIL scale. The gait and heart rate analyzers could be used in a screening test for frailty and falls in community-dwelling older adults but require further improvement and validation at the population level.

Efficacy of Wearable Single-Lead ECG Monitoring during Exercise Stress Testing: A Comparative Study

Background and Objectives: Few comparative studies have evaluated wearable single-lead electrocardiogram (ECG) devices and standard multi-lead ECG devices during exercise testing. This study aimed to validate the accuracy of a wearable single-lead ECG monitor for recording heart rate (HR) metrics during graded exercise tests (GXTs). Methods: A cohort of 50 patients at a tertiary hospital underwent GXT while simultaneously being equipped with wearable single- and conventional multi-lead ECGs. The concordance between these modalities was quantified using the intraclass correlation coefficient and Bland–Altman plot analysis. Results: The minimum and average HR readings between the devices were generally consistent. Parameters such as ventricular ectopic beats and supraventricular ectopic beats showed strong agreement. However, the agreement for the Total QRS and Maximum RR was not sufficient. HR measurements across different stages of the exercise test showed sufficient agreement. Although not statistically significant, the standard multi-lead ECG devices exhibited higher noise levels compared to the wearable single-lead ECG devices. Conclusions: Wearable single-lead ECG devices can reliably monitor HR and detect abnormal beats across a spectrum of exercise intensities, offering a viable alternative to traditional multi-lead systems.

Maternal depressed mood and serotonergic antidepressant treatment during pregnancy differentially shape the continuity between fetal–newborn neurobehaviour

BackgroundPrenatal serotonin reuptake inhibitor (SRI) antidepressant exposure is associated with newborn neurobehavioural disturbances, but it remains unclear whether this reflects a transient pharmacologic condition or an altered neurodevelopmental trajectory emerging in utero from sustained gestational SRI exposure. AimThis study explored longitudinal relationships between third-trimester fetal physiology and newborn neurobehaviour, and determined whether early neurobehavioural continuity is shaped by prenatal SRI or depression exposure. MethodsParticipants were 127 pregnant mothers and their fetal-newborn offspring. Four groups were defined based on antenatal depressive symptoms and SRI treatment: Control (n = 51), Depressed (unmedicated; n = 35), SRI-Depressed (n = 26) and SRI-Non-Depressed (n = 15). Doppler measures of fetal heart rate (fHR), motor activity and vascular hemodynamics were obtained at 36-weeks' gestation, then newborn neurobehavioural maturity was evaluated at postnatal day-7. Partial least squares analysis was used to identify latent correlations between fetal-newborn measures; associations were further studied with hierarchical regression testing group moderation. ResultsTwo dimensions described 74 % of the covariance between fetal physiologic and newborn neurobehavioural measures (permuted p < 0.05). Three latent fetal-newborn relationships were significantly moderated by group: (1) lower fHR variability, and (2) greater fHR decelerations, predicted lower alertness/orientation scores but only in SRI-Depressed-group newborns; and (3) lower fetal cerebrovascular resistance predicted lower motor scores in Depressed-group newborns. SRI treatment to euthymia was not associated with fetal-newborn neurobehavioural disturbances. ConclusionsMaternal depression, both unmedicated and SRI-treated with persistent/poorly-managed mood symptoms, differentially shaped fetal-newborn neurobehavioural continuity. These findings suggest that neurobehavioural disturbances may predate birth, and underscore the importance of effective mental health management during pregnancy.

Validity of the estimated core temperature algorithm during real-world prolonged walking exercise under warm ambient conditions

BackgroundNon-invasive methods to estimate core body temperature (TC) are increasingly available. We examined the group-level and individual participant-level validity of the Estimated Core Temperature (ECTemp™) algorithm to estimate TC based on sequential heart rate (HR) measurements during real-world prolonged walking exercise in warm ambient conditions. MethodsParticipants walked 30 (n = 3), 40 (n = 13) or 50 (n = 2) km on a self-selected pace during which TC was measured every minute using an ingestible temperature capsule. HR was measured every second and used to compute the estimated core temperature (TC-est) using the ECTemp™ algorithm. Bland-Altman analyses were performed to assess agreement between TC and TC-est. A systematic bias <0.1 °C was considered acceptable. Results18 participants (56 ± 16 years, 11 males) walked for 549 min (range 418–645 min), while ambient temperature increased from 22 °C to 29 °C. Average HR was 108 ± 13 bpm and TC ranged from 36.9 to 39.2 °C, whereas TC-est ranged from 36.8 to 38.9 °C (n = 8572 observations). Group level data revealed a systematic bias of 0.09 °C (p < 0.001) with limits of agreements of ±0.44 °C. A weak correlation was found between TC and TC-est (r = 0.28; p < 0.001). Large inter-individual differences in bias (range −0.45 °C to 0.62 °C) and correlation coefficients (range −0.09 to 0.95) were found, while only 3 participants (17%) had an acceptable systemic bias of <0.1 °C. ConclusionGroup level data showed that the ECTemp™ algorithm had an acceptable systematic bias during prolonged walking exercise in warm ambient conditions, but only 3 out of 18 participants had an acceptable systemic bias. Future studies are needed to improve the accuracy of the algorithm before individual users can rely on their estimated TC during real-world exercise.

A dual wave structure triboelectric sensor for heart rate and exercise monitoring

Recently, research on wearable devices for physiological exercise monitoring has garnered significant attention. Here, we propose a dual wave-structured triboelectric nanogenerator (DW-TENG) integrated with a cotton cloth, developed for smart running applications. The DW-TENG sensor leverages a flexible wave triboelectric layer composed of polydimethylsiloxane and silicone, with a copper electrode layer between them for sensing. This structure allows for customizable pressure sensitivity by adjusting the silicone hardness. Experimental results show that the DW-TENG achieves a sensitivity of 0.4 V kPa−1, with response and recovery times of 75 and 90 ms, respectively. The sensor effectively measures heart rate changes during various physical activities, including walking, running, and jumping. Electrical performance tests reveal that the DW-TENG’s output is significantly influenced by the silicone hardness, operational frequency, and microstructure height. The DW-TENG sensor demonstrates high durability and stability, maintaining consistent voltage output over 40 000 cycles. This research highlights the potential of the DW-TENG in multifunctional physiological and physical activity monitoring, providing real-time data on respiratory patterns, heart rate, and movement dynamics, thus enhancing athletic training, performance assessment, and health monitoring.

Development Of Smart Band For Vital Signs Monitoring System Based On Internet Of Things

Abstract Vital signs are important health parameters because they indicate the physiological functions of the human body. Heart rate (HR), blood pressure, body temperature, oxygen saturation (SpO2), and respiration rate are vital signs used to determine whether a person is healthy or not. HR is the rate at which the heart pumps blood and is measured by the number of heart beat per minute (beats per minute / BPM). Oxygen saturation (SpO2) indicates the level of hemoglobin in the blood that can bind to oxygen. This study aims to develop a smart band prototype for monitoring heart rate (HR) and oxygen saturation using optical spectroscopy methods and the implementation of the Internet of Things (IoT). This smart band prototype uses the MAX30102 sensor, ESP32, push button, Blynk, and Arduino IDE AVR software. The research results show that the prototype’s accuracy for HR measurement is ±98.5%, and the accuracy for SpO2 is ±99.3%. The measurement results can be sent and displayed in the Blynk application as well as to email. It can be concluded that this smart band can detect HR and SpO2 in real-time and has the potential to improve the quality of healthcare services.

Assessment Outcomes Effect of Apolipoprotein E4 Allele on Cardiovascular Diseases

The apolipoprotein E4 allele is a genetic risk factor that has a negative impact on the quality of life of people with cardiovascular disease. Our current study aimed to evaluate the effect of apolipoprotein E4 allele in cardiovascular patients (n=85). A total of 85 elderly patients with cardiovascular disease were enrolled in the study, which was conducted at hospitals in Baghdad, Iraq, between 18 January 2022 and 27 October 2023. Comprehensive cardiovascular examinations were performed on each patient, including blood pressure, heart rate, and other vital sign measurements. APOE genotype analysis was conducted to evaluate the impact on the patients. Additionally, questionnaires were administered to assess the quality of life of patients with cardiovascular disease. In terms of clinical outcomes, chest pain was identified as the most prevalent symptom among patients, with a total of 38 cases. Additionally, the E3/E4 genotype of the APOE gene was observed in 41.18% of patients, which was associated with an increase in serum lipid-lipoprotein levels in terms of SBP (145.39 ± 27.46) mmHg and DBP (87.89 ± The mean values for the variables were as follows: glucose (3.11 ± 1.12) mg/dL, triglycerides (224 ± 46.25) mg/dL, LDL-C (167.29 ± 12.92) mg/dL, and HDL-C (14.82 ± 3.82) mg/dL. The adverse findings revealed that 23 cases involved heart attacks, and 30 cases involved strokes. Patients with CVD who carried the apolipoprotein E4 allele exhibited negative impacts on their quality of life, as evidenced by the following scores: physical functioning (46.38 ± 14.26), energy/fatigue (53.25 ± 12.29), and emotional problems (62.10 ± 10.29). In general, patients with the apolipoprotein E4 allele exhibit elevated levels of lipid profiles, which signify an elevated risk of severe complications in patients with cardiovascular disease.

Blood Pressure and Heart Rate Measurement for Hypertension Classification Using the K-Nearest Neighbors Method Based on IoT

This research aims to develop a hypertension classification system based on measuring blood pressure and heart rate using the K-Nearest Neighbor (KNN) method and storing data on the Thingspeak cloud server. Hypertension is a major health problem that requires regular monitoring for effective prevention and management. This research created a tool that can measure blood pressure and heart rate using the KNN method as a classification. The data was collected using a sensor device integrated with Thingspeak for real-time data storage and analysis. The KNN method is used to classify measurement data into optimal, normal, prehypertension, grade 1 hypertension, and grade 2 hypertension categories. The implementation of data storage on the Thingspeak cloud server allows easy data access and efficient analysis, and supports continuous health monitoring. In conclusion, the system developed can be an effective tool in monitoring and classifying hypertension, and has the potential to be applied on a wider scale for public health management.