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Accuracy and Precision of Three Consumer-Grade Motion Sensors During Overground and Treadmill Walking in People With Parkinson Disease: Cross-Sectional Comparative Study

Accuracy and Precision of Three Consumer-Grade Motion Sensors During Overground and Treadmill Walking in People With Parkinson Disease: Cross-Sectional Comparative Study

The devices were worn on the less affected side: the 2 wrist-worn devices (Garmin Vivosmart 3 and Fitbit Charge 2 HR) on the less affected arm and the waist-worn sensor (Fitbit One) on the side of the less affected leg.

Byron Lai, Jeffer E Sasaki, Brenda Jeng, Katie L Cederberg, Marcas M Bamman, Robert W Motl

JMIR Rehabil Assist Technol 2020;7(1):e14059

Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

One type of technology that is particularly interesting for mobile health is the wrist-worn device capable of monitoring a large variety of parameters including heart rate (HR), energy expenditure (EE), steps taken, distance traveled, and in the near future

Maarten Falter, Werner Budts, Kaatje Goetschalckx, Véronique Cornelissen, Roselien Buys

JMIR Mhealth Uhealth 2019;7(3):e11889

Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents

Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents

Specialized and expensive equipment is typically needed to collect sleep pattern data, and participants usually have to stay in an unfamiliar sleep study facility [19,20].However, the advent of smart wearables (eg, wrist-worn mobile devices such as the Fitbit

Jiang Bian, Yi Guo, Mengjun Xie, Alice E Parish, Isaac Wardlaw, Rita Brown, François Modave, Dong Zheng, Tamara T Perry

JMIR Mhealth Uhealth 2017;5(7):e105

Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches

Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches

Fairclough et al [10] found that wrist-worn accelerometers had at least 10% higher compliance rate than hip-worn ones, regardless of the data processing criteria in school-age children.

Shiyu Li, Jeffrey T Howard, Erica T Sosa, Alberto Cordova, Deborah Parra-Medina, Zenong Yin

JMIR Form Res 2020;4(8):e16727

Assessing the Use of Wrist-Worn Devices in Patients With Heart Failure: Feasibility Study

Assessing the Use of Wrist-Worn Devices in Patients With Heart Failure: Feasibility Study

There has been significant growth in wrist-worn fitness devices that track activity and HR [3]. These wearable devices use infrared and green light emitting diodes to track HR using the photoplethysmography (PPG) method [4].

Yasbanoo Moayedi, Raghad Abdulmajeed, Juan Duero Posada, Farid Foroutan, Ana Carolina Alba, Joseph Cafazzo, Heather Joan Ross

JMIR Cardio 2017;1(2):e8

Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

Based on these requirements, we selected the following monitors: 2 chest-worn patches, that is, VitalPatch (VitalConnect) and Peerbridge Cor (Peerbridge); 4 wrist-worn devices with finger probe, that is, Nonin WristOx2 3150 (Nonin), Checkme O2+ (Viatom Technology

Carlos Areia, Louise Young, Sarah Vollam, Jody Ede, Mauro Santos, Lionel Tarassenko, Peter Watkinson

JMIR Mhealth Uhealth 2020;8(12):e20214

Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study

Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study

Unfortunately, conducting population-wide studies with accelerometers is difficult because of high costs and participant burden.To this end, the soaring availability and use of commercial wrist-worn activity tracking devices are increasingly being harnessed

Andre Matthias Müller, Nan Xin Wang, Jiali Yao, Chuen Seng Tan, Ivan Cherh Chiet Low, Nicole Lim, Jeremy Tan, Agnes Tan, Falk Müller-Riemenschneider

JMIR Mhealth Uhealth 2019;7(10):e14120

Mobile Device Accuracy for Step Counting Across Age Groups

Mobile Device Accuracy for Step Counting Across Age Groups

Recently Kroll et al [22] also showed that heart rate may not be accurately measured by wrist-worn devices, in particular if the user is not in sinus rhythm.

François Modave, Yi Guo, Jiang Bian, Matthew J Gurka, Alice Parish, Megan D Smith, Alexandra M Lee, Thomas W Buford

JMIR Mhealth Uhealth 2017;5(6):e88

Methodological Shortcomings of Wrist-Worn Heart Rate Monitors Validations

Methodological Shortcomings of Wrist-Worn Heart Rate Monitors Validations

In the past 5 years, there has been a huge proliferation of wrist-worn heart rate monitors, often embedded in smart-bands and smartwatches, which can generate a vast amount of data on lifestyle, physiology, and disease providing exciting opportunities for future

Francesco Sartor, Gabriele Papini, Lieke Gertruda Elisabeth Cox, John Cleland

J Med Internet Res 2018;20(7):e10108