Are Currently Available Wearable Devices for Activity Tracking and Heart Rate Monitoring Accurate, Precise, and Medically Beneficial?

Objectives The new wave of wireless technologies, fitness trackers, and body sensor devices can have great impact on healthcare systems and the quality of life. However, there have not been enough studies to prove the accuracy and precision of these trackers. The objective of this study was to evaluate the accuracy, precision, and overall performance of seventeen wearable devices currently available compared with direct observation of step counts and heart rate monitoring. Methods Each participant in this study used three accelerometers at a time, running the three corresponding applications of each tracker on an Android or iOS device simultaneously. Each participant was instructed to walk 200, 500, and 1,000 steps. Each set was repeated 40 times. Data was recorded after each trial, and the mean step count, standard deviation, accuracy, and precision were estimated for each tracker. Heart rate was measured by all trackers (if applicable), which support heart rate monitoring, and compared to a positive control, the Onyx Vantage 9590 professional clinical pulse oximeter. Results The accuracy of the tested products ranged between 79.8% and 99.1%, while the coefficient of variation (precision) ranged between 4% and 17.5%. MisFit Shine showed the highest accuracy and precision (along with Qualcomm Toq), while Samsung Gear 2 showed the lowest accuracy, and Jawbone UP showed the lowest precision. However, Xiaomi Mi band showed the best package compared to its price. Conclusions The accuracy and precision of the selected fitness trackers are reasonable and can indicate the average level of activity and thus average energy expenditure.

[1]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .

[2]  I. Olkin,et al.  Using pedometers to increase physical activity and improve health: a systematic review. , 2007, JAMA.

[3]  Ian D. Reid,et al.  3D hand tracking for human computer interaction , 2012, Image Vis. Comput..

[4]  Michael J. McGrath,et al.  Wellness, Fitness, and Lifestyle Sensing Applications , 2013 .

[5]  Yuting Zhang,et al.  Continuous monitoring of functional activities using wearable, wireless gyroscope and accelerometer technology , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  K. Volpp,et al.  Accuracy of smartphone applications and wearable devices for tracking physical activity data. , 2015, JAMA.

[7]  Jean-Yves Fourniols,et al.  Smart wearable systems: Current status and future challenges , 2012, Artif. Intell. Medicine.

[8]  Yang Hao,et al.  Detecting Vital Signs with Wearable Wireless Sensors , 2010, Sensors.

[9]  Hyeoun-Ae Park,et al.  Factors Affecting Acceptance of Smartphone Application for Management of Obesity , 2015, Healthcare informatics research.

[10]  D. Asch,et al.  Wearable devices as facilitators, not drivers, of health behavior change. , 2015, JAMA.

[11]  Michael J. McGrath,et al.  Sensor Technologies: Healthcare, Wellness and Environmental Applications , 2013 .

[12]  Hyeoun-Ae Park,et al.  Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management , 2015, Healthcare informatics research.

[13]  Ashraf Darwish,et al.  Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring , 2011, Sensors.