Wearable Devices for Physical Monitoring of Heart: A Review

Biosensors, Journal Year: 2022, Volume and Issue: 12(5), P. 292 - 292

Published: May 2, 2022

Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate burden CVDs has been monitor patients' biomedical variables during daily activities with wearable technology. Nowadays, technological advance contributed wearables technology by reducing size devices, improving accuracy sensing be devices relatively low energy consumption that can manage security and privacy patient's medical information, have adaptability any data storage system, reasonable costs regard traditional scheme where patient must go a hospital for an electrocardiogram, thus contributing serious option in diagnosis treatment CVDs. In this work, we review commercial noncommercial used CVD variables. Our main findings revealed usually include smart wristbands, patches, smartwatches, they generally such as heart rate, blood oxygen saturation, electrocardiogram data. Noncommercial focus on monitoring photoplethysmography data, mostly accelerometers smartwatches detecting atrial fibrillation failure. However, using without healthy personal habits will disappointing results health.

Language: Английский

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Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Sensors, Journal Year: 2023, Volume and Issue: 23(11), P. 5038 - 5038

Published: May 24, 2023

Sleep is essential to physical and mental health. However, the traditional approach sleep analysis—polysomnography (PSG)—is intrusive expensive. Therefore, there great interest in development of non-contact, non-invasive, non-intrusive monitoring systems technologies that can reliably accurately measure cardiorespiratory parameters with minimal impact on patient. This has led other relevant approaches, which are characterised, for example, by fact they allow greater freedom movement do not require direct contact body, i.e., non-contact. systematic review discusses methods non-contact activity during sleep. Taking into account current state art technologies, we identify cardiac respiratory activity, types sensors used, possible physiological available analysis. To this, conducted a literature summarised research use activity. The inclusion exclusion criteria selection publications were established prior start search. Publications assessed using one main question several specific questions. We obtained 3774 unique articles from four databases (Web Science, IEEE Xplore, PubMed, Scopus) checked them relevance, resulting 54 analysed structured way terminology. result was 15 different devices (e.g., radar, temperature sensors, motion cameras) be installed hospital wards departments or environment. ability detect heart rate, disorders such as apnoea among characteristics examined investigate overall effectiveness considered monitoring. In addition, advantages disadvantages identified answering results us determine trends vector medical medicine future researchers research.

Language: Английский

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Heart rate variability, recovery and stress analysis of an elite rally driver and co-driver during a competition period

Science Progress, Journal Year: 2024, Volume and Issue: 107(1)

Published: Jan. 1, 2024

To ensure both optimal health and performances, monitoring physiological psychological states is of main importance for athletes. It well known that heart rate variability using validated questionnaires useful the training status athletes different sports. Motorsports such as rally require high levels physical mental preparation thus information about psychophysiological fundamental. The aim this study was to assess autonomic regulation, stress, recovery conditions one driver co-driver competing at Italian National Rally Championship during their competition period. Heart parameters, acute stress were assessed day before, two days race following races. Results showed had a sharp decrease mean RR intervals, root square successive differences between normal heartbeats, standard deviation N-N interval days, while index inverse trend, behaviour clearly visible in Poincaré plots power spectrum density graphs. questionnaire significant scoring but not co-driver, although trends similar. This describes demands period suggesting daily evaluation variability, recovery, could be implemented make decision strategies.

Language: Английский

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Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones

BioMedInformatics, Journal Year: 2024, Volume and Issue: 4(1), P. 549 - 565

Published: Feb. 19, 2024

Background: The integration of edge computing into smart healthcare systems requires the development computationally efficient models and methodologies for monitoring detecting patients’ statuses. In this context, mobile devices, such as smartphones, are increasingly employed purpose aiding diagnosis, treatment, monitoring. Notably, smartphones widely pervasive readily accessible to a significant portion population. These devices empower individuals conveniently record submit voice samples, thereby potentially facilitating early detection vocal irregularities or changes. This research focuses on creation diverse machine learning frameworks based samples captured by distinguish between pathological healthy voices. Methods: investigation leverages publicly available VOICED dataset, comprising 58 150 from voices exhibiting conditions, techniques classification diseased patients through employment Mel-frequency cepstral coefficients. Results: Through cross-validated two-class classification, fine k-nearest neighbor exhibited highest performance, achieving an accuracy rate 98.3% in identifying Conclusions: study holds promise enabling effectively identify disorders, offering multitude advantages both systems, encompassing heightened accessibility, detection, continuous

Language: Английский

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An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors

BioMedInformatics, Journal Year: 2024, Volume and Issue: 4(2), P. 1155 - 1173

Published: May 7, 2024

Background: Human-Machine Interaction (HMI) has been an important field of research in recent years, since machines will continue to be embedded many human actvities several contexts, such as industry and healthcare. Monitoring ecological mannerthe cognitive workload (CW) users, who interact with machines, is crucial assess their level engagement activities the required effort, goal preventing stressful circumstances. This study provides a comprehensive analysis assessment CW using wearable sensors HMI. Methods: this narrative review explores techniques procedures for collecting physiological data through possibility integrate these multiple signals, providing multimodal monitoring individuals’CW. Finally, it focuses on impact artificial intelligence methods signals provide models exploited Results: provided evaluation wearables, Conclusion: literature highlighted feasibility employing collect HMI scenarios. However, challenges remain standardizing measures across different populations contexts.

Language: Английский

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Performance enhancement of thermal image analysis for noncontact cardiopulmonary signal extraction

Infrared Physics & Technology, Journal Year: 2024, Volume and Issue: 138, P. 105244 - 105244

Published: Feb. 22, 2024

Language: Английский

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Facial functional networks during resting state revealed by thermal infrared imaging

Physical and Engineering Sciences in Medicine, Journal Year: 2023, Volume and Issue: 46(4), P. 1573 - 1588

Published: Aug. 29, 2023

Abstract In recent decades, an increasing number of studies on psychophysiology and, in general, clinical medicine has employed the technique facial thermal infrared imaging (IRI), which allows to obtain information about emotional and physical states subjects a completely non-invasive contactless fashion. Several regions interest (ROIs) have been reported literature as salient areas for psychophysiological characterization subject (i.e. nose tip glabella ROIs). There is however lack focusing functional correlation among these ROIs physiological basis relation existing between IRI vital signals, such electrodermal activity, i.e. galvanic skin response (GSR). The present study offers new methodology able assess connection seed all pixel face. same approach was also applied considering signal GSR its phasic tonic components. Seed analysis 63 healthy volunteers demonstrated presence common pathway regulating functionality activity. procedure tested pathological case study, finding different pattern compared cases. method represents promising tool neurology, physiology neurosciences.

Language: Английский

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Facial infrared thermography as an index of social anxiety

Anxiety Stress & Coping, Journal Year: 2023, Volume and Issue: 37(1), P. 114 - 126

Published: April 8, 2023

Previous research on physiological indices of social anxiety has offered unclear results. In this study, participants with low and high performed five interaction tasks while being recorded a thermal camera. Each task was associated dimension assessed by the Social Anxiety Questionnaire for Adults (1 = Interactions strangers. 2 Speaking in public/Talking people authority, 3 Criticism embarrassment, 4 Assertive expression annoyance, disgust or displeasure, 5 opposite sex). Mixed-effects models revealed that temperature tip nose decreased significantly (vs. high) (p < 0.001), no significant differences were found other facial regions interest: forehead 0.999) cheeks 0.999). Furthermore, 1 most effective at discriminating between change anxiety, trend higher lower group. We emphasize importance corroborating thermography specific as an ecological method, psychophysiological index anxiety.

Language: Английский

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Acute physiological responses to a pyramidal exercise protocol and the associations with skin temperature variation in different body areas

Journal of Thermal Biology, Journal Year: 2023, Volume and Issue: 115, P. 103605 - 103605

Published: June 8, 2023

This study aimed to examine the skin temperature (Tsk) variations in five regions of interest (ROI) assess whether possible disparities between ROI's Tsk could be associated with specific acute physiological responses during cycling. Seventeen participants performed a pyramidal load protocol on cycling ergometer. We synchronously measured ROI three infrared cameras. assessed internal load, sweat rate, and core temperature. Reported perceived exertion calves' showed highest correlation (r = −0.588; p < 0.01). Mixed regression models revealed that heart rate reported were inversely related Tsk. The exercise duration was directly nose tip calf but forehead forearm association thermoregulatory or parameters depends ROI. parallel observation face indicate simultaneously needs individual load. separate analyses appear more suitable response than mean several

Language: Английский

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A Review of Facial Thermography Assessment for Vital Signs Estimation

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 115583 - 115602

Published: Jan. 1, 2022

Estimated vital signs might include a variety of measurements that can be used in detecting any abnormal conditions by analyzing facial images from continuous monitoring with thermal video camera. To overcome the limitless human visual perceptions, infrared has proven to most effective technique for visualizing colour changes could have been reflected oxygenation levels and blood volume arteries. This study investigated possibility estimation using physiological function converted same ways visible are used, need an efficient extractor method as correction procedures datasets without wearing glasses or protective face masks. paper, summarize advanced machine learning deep methods satisfactory performance. Also, we presented evaluation matrices were included assessment based on statistical analysis, accuracy measures error measures. Finally, discuss future gaps directions further evaluations.

Language: Английский

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