A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

Frontiers in Physiology, Journal Year: 2018, Volume and Issue: 9

Published: June 28, 2018

The commercial market for technologies to monitor and improve personal health sports performance is ever expanding. A wide range of smart watches, bands, garments, patches with embedded sensors, small portable devices mobile applications now exist record provide users feedback on many different physical variables. These variables include cardiorespiratory function, movement patterns, sweat analysis, tissue oxygenation, sleep, emotional state, changes in cognitive function following concussion. In this review, we have summarized the features evaluated characteristics a cross-section according what technology claimed do, whether it has been validated reliable, if suitable general consumer use. Consumers who are choosing new should consider (1) produces desirable (or non-desirable) outcomes, (2) developed based real-world need, (3) tested proven effective applied studies settings. Among included more than half not through independent research. Only 5% formally validated. Around 10% used value such use debatable, however, because they may require extra time set up interpret data produce. Looking future, rapidly expanding much offer consumers. To create competitive advantage, companies producing consult consumers identify invest research prove effectiveness their products. get best value, carefully select products, only needs, but also strength supporting evidence

Language: Английский

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Respiratory Frequency during Exercise: The Neglected Physiological Measure

Frontiers in Physiology, Journal Year: 2017, Volume and Issue: 8

Published: Dec. 11, 2017

The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related devices have received little attention so far. Respiratory frequency (fR), example, emerging as a valuable measurement monitoring. Despite the availability unobtrusive measuring fR with relatively good accuracy, not commonly monitored during training. Yet currently measured vital sign by multiparameter in military field, clinical settings occupational activities. When these been used exercise, was limited applications like estimation ventilatory threshold. However, more information can be gained from fR. Unlike heart rate, V̇O2 blood lactate, strongly associated perceived exertion variety exercise paradigms, under several experimental interventions affecting performance muscle fatigue, glycogen depletion, heat exposure hypoxia. This suggests that strong marker physical effort. Furthermore, unlike other physiological variables, responds rapidly to variations workload high-intensity interval training, potential implications many sporting Perspective article aims i) present scientific evidence supporting relevance monitoring; ii) critically revise possible methodologies measure accuracy available respiratory wearables; iii) provide preliminary indication on how analyze data. viewpoint expected advance field stimulate directions future development sports wearables.

Language: Английский

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Biocompatible Material‐Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems

Small, Journal Year: 2023, Volume and Issue: 19(27)

Published: April 3, 2023

Abstract Human beings have a greater need to pursue life and manage personal or family health in the context of rapid growth artificial intelligence, big data, Internet Things, 5G/6G technologies. The application micro biosensing devices is crucial connecting technology personalized medicine. Here, progress current status from biocompatible inorganic materials organic composites are reviewed material‐to‐device processing described. Next, operating principles pressure, chemical, optical, temperature sensors dissected these flexible biosensors wearable/implantable discussed. Different systems acting vivo vitro, including signal communication energy supply then illustrated. potential in‐sensor computing for applications sensing also Finally, some essential needs commercial translation highlighted future opportunities considered.

Language: Английский

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Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities

Applied Physiology Nutrition and Metabolism, Journal Year: 2015, Volume and Issue: 40(10), P. 1019 - 1024

Published: June 12, 2015

We tested the validity of Hexoskin wearable vest to monitor heart rate (HR), breathing (BR), tidal volume (V T ), minute ventilation, and hip motion intensity (HMI) in comparison with laboratory standard devices during lying, sitting, standing, walking. Twenty healthy young volunteers participated this study. First, participants walked 6 min on a treadmill at speeds 1, 3, 4.5 km/h followed by increasing grades until 80% their predicted maximal rate. Second, standing tasks were performed (5 each) walking ventilatory threshold. Analysis each individual’s mean values under resting or exercise condition 2 measurement systems revealed low coefficient variation high intraclass correlation for HR, BR, HMI. The Bland–Altman results from HMI indicated no deviation value zero relatively small variability about mean. V ventilation provided arbitrary units device; however, relative magnitude change closely tracked method. presented variability, good agreement, consistency. was valid consistent tool activities typical daily living such as different body positions (lying, standing) various speeds.

Language: Английский

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Criterion-Validity of Commercially Available Physical Activity Tracker to Estimate Step Count, Covered Distance and Energy Expenditure during Sports Conditions

Frontiers in Physiology, Journal Year: 2017, Volume and Issue: 8

Published: Sept. 22, 2017

Background: In the past years, there was an increasing development of physical activity tracker (Wearables). For recreational people, testing these devices under walking or light jogging conditions might be sufficient. (elite) athletes, however, scientific trustworthiness needs to given for a broad spectrum velocities even fast changes in reflecting demands sport. Therefore, aim evaluate validity eleven Wearables monitoring step count, covered distance and energy expenditure (EE) laboratory with different constant varying velocities. Methods: Twenty healthy sport students (10 men, 10 women) performed running protocol consisting four 5 min stages (4.3; 7.2; 10.1; 13.0 km·h-1), period intermittent velocity, 2.4 km outdoor run (10.1 km·h-1) while wearing (Bodymedia Sensewear, Beurer AS 80, Polar Loop, Garmin Vivofit, Vivosmart, Vivoactive, Forerunner 920XT, Fitbit Charge, Charge HR, Xaomi MiBand, Withings Pulse Ox). Step distance, EE were evaluated by comparing each Wearable criterion method (Optogait system manual counting treadmill indirect calorimetry EE). Results: All Wearables, except Bodymedia AS80, revealed good (small MAPE, ICC) all count. showed very low ICC (<0.1) high MAPE (up 50%), revealing no validity. The measurement acceptable Garmin, moderate MAPE), AS80 up 56% test conditions. Conclusion: our study, most provide level counts at sports However, as well could not assessed validly investigated Wearables. Consequently, should monitored presented specific

Language: Английский

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Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

Information Fusion, Journal Year: 2019, Volume and Issue: 53, P. 222 - 239

Published: June 3, 2019

Language: Английский

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Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity

JMIR mhealth and uhealth, Journal Year: 2018, Volume and Issue: 6(4), P. e102 - e102

Published: April 30, 2018

Although it is becoming increasingly popular to monitor parameters related training, recovery, and health with wearable sensor technology (wearables), scientific evaluation of the reliability, sensitivity, validity such data limited and, where available, has involved a wide variety approaches. To improve trustworthiness collected by wearables facilitate comparisons, we have outlined recommendations for standardized evaluation. We discuss devices themselves, as well experimental statistical considerations. Adherence these should be beneficial not only individual, but also regulatory organizations insurance companies.

Language: Английский

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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

JMIR mhealth and uhealth, Journal Year: 2019, Volume and Issue: 7(10), P. e14149 - e14149

Published: Oct. 16, 2019

Background Although geriatric depression is prevalent, diagnosis using self-reporting instruments has limitations when measuring the depressed mood of older adults in a community setting. Ecological momentary assessment (EMA) by wearable devices could be used to collect data classify into groups. Objective The objective this study was develop machine learning algorithm predict classification groups among living alone. We focused on utilizing diverse collected through survey, an Actiwatch, and EMA report related depression. Methods prediction model developed 4 steps: (1) collection, (2) processing representation, (3) modeling (feature engineering selection), (4) training validation test model. Older (N=47), alone settings, completed moods times day for 2 weeks between May 2017 January 2018. Participants wore Actiwatch that measured their activity ambient light exposure every 30 seconds weeks. At baseline end 2-week observation, depressive symptoms were assessed Korean versions Short Geriatric Depression Scale (SGDS-K) Hamilton Rating (K-HDRS). Conventional based binary logistic regression built compared with models (the logit, decision tree, boosted trees, random forest models). Results On basis SGDS-K K-HDRS, 38% (18/47) participants classified probable group. They reported significantly lower scores normal physical higher levels white red, green, blue (RGB) exposures at different degrees various 4-hour time frames (all P<.05). Sleep efficiency chosen feature selection. Comparing combinations selected variables, daily mean score, level, RGB 4:00 pm 8:00 exposure, sleep modeling. had good fit (accuracy: 0.705; precision: 0.770; specificity: 0.859; area under receiver operating characteristic curve or AUC: 0.754). Among models, logit best others 0.910; 0.929; 0.940; 0.960). Conclusions This provides preliminary evidence developing program Clinicians should consider method identify underdiagnosed subgroups monitor progression regarding treatment therapeutic intervention Furthermore, more efforts are needed researchers clinicians diversify collection methods EMA, sensor.

Language: Английский

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Microbial nanocellulose adherent to human skin used in electrochemical sensors to detect metal ions and biomarkers in sweat

Talanta, Journal Year: 2020, Volume and Issue: 218, P. 121153 - 121153

Published: May 19, 2020

Language: Английский

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Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors

Sensors, Journal Year: 2019, Volume and Issue: 19(16), P. 3581 - 3581

Published: Aug. 17, 2019

In precision sports, the control of breathing and heart rate is crucial to help body remain stable in shooting position. To improve stability, archers try adopt similar patterns have a low heartbeat during each shot. We proposed an easy-to-use unobtrusive smart textile (ST) which able detect chest wall excursions due beating. The sensing part based on two FBGs housed into soft polymer matrix optimize adherence system robustness. ST was assessed volunteers figure out its performance estimation respiratory frequency (fR) (HR). Then, tested four sessions. This first study monitor cardio-respiratory activity shooting. good supported by mean absolute percentage error for fR HR (≤1.97% ≤5.74%, respectively), calculated with respect reference signals (flow sensor fR, photopletismography HR). Moreover, results showed capability estimate different phases action. promising motivate future investigations speculate about influence archers’ performance.

Language: Английский

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