Fitbit Charge HR Wireless Heart Rate Monitor: Validation Study Conducted Under Free-Living Conditions

Gorny, Alexander Wilhelm; Liew, Seaw Jia; Tan, Chuen Seng; Müller‐Riemenschneider, Falk

doi:10.2196/mhealth.8233

Cited by 91 publications

(73 citation statements)

References 27 publications

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“…sensitivity algorithm). These findings are in line with previous studies, which have expressed concerns that such devices might not be able to provide adequate information to guide exercise intensity or detect MVPA [14].…”

Section: Resultssupporting

confidence: 92%

“…Until now, only activity trackers have been scrutinized for their validity [14][15][16][17][18][19][20]. These studies found that most activity trackers (Fitbit Flex, Fitbit Zip, Fitbit One, Fitbit Charge HR, Jawbone Up, Nike+ Fuelband SE, Misfit Shine, Withings Pulse) are valid for measuring steps, but to a lesser extent for measuring MVPA.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study (Preprint)

Degroote¹,

Bourdeaudhuij²,

Verloigne³

et al. 2018

Preprint

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Background: Wearables for monitoring physical activity are increasingly popular. These devices are not only used by consumers to monitor their own levels of PA, but also by reseachers to track the behavior of large samples. Consequently, it is important to explore how accurately physical activity can be tracked via these devices. The aim of this study was therefore to investigate concurrent validity of three Android Wear smartwatches (Polar M600, Huawei Watch, Asus Zenwatch3) and the Fitbit Charge with an ActiGraph accelerometer for measuring steps and MVPA (moderate-to-vigorous physical activity) on both a day and 15 min level. Methods:A free-living protocol was used in which 36 adults engaged in usual daily activities over 2 days while wearing two different wearables on the same wrist of the preferred hand and an ActiGraph GT3X+ accelerometer on the hip. Validity was evaluated on both levels by comparing each wearable with the ActiGraph GT3X+ accelerometer, using correlations and Conclusions:In sum, all four consumer-level devices can be considered accurate step counters in free-living conditions. This study, however, provides evidence of systematic bias for all devices in measurement of MVPA. The results on a 15-minute level also indicate that these devices are not sufficiently accurate to provide correct real-time feedback.

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Section: Resultssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study (Preprint)

Degroote¹,

Bourdeaudhuij²,

Verloigne³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…This can be used to determine oxygen saturation and pulse waves, through which HR can be derived. The few previous studies that evaluated wrist-based HR accuracy using PPG revealed conflicting results (Gorny, Liew, Tan, & Muller-Riemenschneider, 2017). Movement artefacts are thought to be a problem in the wrist-worn pulse rate measurements using PPG (Tamura, Maeda, Sekine, & Yoshida, 2014;Zhang, Pi, & Liu, 2015), especially during activities with increased intensity or particular arm and wrist movements (Gorny et al, 2017;Shimazaki, Hara, Okuhata, Nakamura, & Kawabata, 2014;Spierer, Rosen, Litman, & Fujii, 2015;Stahl, An, Dinkel, Noble, & Lee, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…The few previous studies that evaluated wrist-based HR accuracy using PPG revealed conflicting results (Gorny, Liew, Tan, & Muller-Riemenschneider, 2017). Movement artefacts are thought to be a problem in the wrist-worn pulse rate measurements using PPG (Tamura, Maeda, Sekine, & Yoshida, 2014;Zhang, Pi, & Liu, 2015), especially during activities with increased intensity or particular arm and wrist movements (Gorny et al, 2017;Shimazaki, Hara, Okuhata, Nakamura, & Kawabata, 2014;Spierer, Rosen, Litman, & Fujii, 2015;Stahl, An, Dinkel, Noble, & Lee, 2016). Moreover, factors such as skin colour, skin temperature or body mass index (BMI) were shown potentially to affect measurement accuracy (Khan et al, 2015;Spierer et al, 2015;Valenti & Westerterp, 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of pulse rate measurement with a wrist worn device during different tasks and physical activity

Gilgen-Ammann

Buller

Bitterle

et al. 2018

CISS

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The purpose of this study was to evaluate the wrist-worn device Mio FUSE, which estimates heart rate (HR) based on photo-plethysmography, 1) in a large study group during a standardised activity, 2) in a small group during a variety of activities and 3) to investigate factors affecting HR accuracy in a real-world setting. First, 53 male participants (20 ±1 years; 1.79 ±0.07 m; 76.1 ±10.5 kg) completed a 35-km march wearing the Equivital EQ-02 as a criterion measure. Second, 5 participants (whereof 3 female; 29 ±5 years; 1.74 ±0.07 m; 67.8 ±11.1 kg) independently performed 25 activities, categorised as sitting passive, sitting active, standing, cyclic and anti-cyclic activities with the Polar H7 as a criterion device. Equivalence testing and Bland-and-Altman analyses were undertaken to assess the accuracy to the criterion devices. Third, confounders affecting HR accuracy were investigated using multiple backwards regression analyses. The Mio FUSE was equivalent to the respective criterion measures with only small systematic biases of -3.5 bpm (-2.6%) and -1.7 bpm (-1.3%) with limits of agreements of ±10.1 bpm and ±10.8 bpm during the 35-km march and during different activities, respectively. Confounding factors negatively affecting the accuracy of the Mio FUSE were found to include larger wrist size and intensified arm and/or wrist movement. The wrist-worn Mio FUSE can be recommended to estimate overall HR accurately for different types of activities in healthy adults. However, during sporting activities involving intensified arm and/or wrist movement or for detailed continuous analysis, a chest strap is preferred to the Mio FUSE to optimise HR estimation accuracy.

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“…Most studies indicate activity monitoring does not create much reactivity. However, it may depend on the specific monitor 21 .…”

Section: Heart Rate Monitoringmentioning

confidence: 99%

A scoping review of physical activity measurement tools in free-living conditions

et al. 2018

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Accurate assessment of physical activity becomes essential in terms of health outcome and effectiveness of health-enhanced intervention programmes. This paper systematically describes and compares up-to-date methods to assess habitual physical activity and discusses main issues regarding the use and interpretation of data collected with these techniques in free-living conditions. A search strategy was employed using PubMed Central database with limits set to include articles from 2007 to 2017. Data were reviewed, extracted and assessed by two researchers, with disagreements being resolved by a third researcher, with their respective definition, usual applications, advantages, and shortcomings. It is concluded that no single current technique is able to quantify all aspects of physical activity under free-living conditions, requiring the use of complementary methods. A validated questionnaire is usually the preferred method in free-living conditions for population-based samples, but when measuring effects this should be combined with an objective measurement instruments. The choice of method depends predominantly on the aim of the measurement, and the availability of personnel, time and financial resources.Sažetak. Točna procjena tjelesne aktivnosti postaje neophodna u smislu zdravstvenog ishoda i učinkovitosti zdravstvenih intervencijskih programa. Rad sustavno opisuje i uspoređuje trenutne metode procjene uobičajene, svakodnevne, fizičke aktivnosti. Raspravlja o glavnim pitanjima vezanim uz korištenje i tumačenje podataka prikupljenih pomoću ovih tehnika u slobodnim životnim uvjetima. Upotrijebljena je strategija pretraživanja pomoću PubMed Central baze podataka, uključujući isključivo članke od 2007. do 2017. godine. Podatke s njihovom pojedinačnom definicijom, uobičajenom primjenom, prednostima i nedostatcima, izdvojila su, pregledala i procijenila dvojica istraživača. Postojala su određena neslaganja koja su riješena uključivanjem trećeg istraživača. Postignut je zaključak da niti jedna od suvremenih tehnika nije sposobna kvantificirati sve aspekte fizičke aktivnosti u uvjetima svakodnevnog života te se stoga razloga moraju koristiti komplementarne metode. Valjani upitnik obično je prioritetna metoda u uvjetima normalnog života populacijskih uzoraka, ali kod mjerenja efekata treba ga kombinirati s objektivnim instrumentima mjerenja. Odabir metode ovisi prije svega o cilju mjerenja i dostupnosti osobnih, vremenskih i financijskih izvora.

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Fitbit Charge HR Wireless Heart Rate Monitor: Validation Study Conducted Under Free-Living Conditions

Cited by 91 publications

References 27 publications

The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study (Preprint)

The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study (Preprint)

Evaluation of pulse rate measurement with a wrist worn device during different tasks and physical activity

A scoping review of physical activity measurement tools in free-living conditions

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