Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort

Shcherbina, Anna; Mattsson, C. Mikael; Waggott, Daryl; Salisbury, Heidi; Christle, Jeffrey W.; Hastie, Trevor; Wheeler, Matthew T.; Ashley, Euan A.

doi:10.1101/094862

Cited by 72 publications

(111 citation statements)

References 17 publications

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“…Accuracy of EE measurement was found to vary depending on type of exercise and exercise intensity with a lower device error for running vs. walking but a higher device error at higher levels of intensity for both running and walking [13]. In other studies it was already shown that in healthy subjects the Apple Watch overestimated EE during cycling and during resistance exercise [7].…”

Section: Principal Resultsmentioning

confidence: 84%

“…The participant number of 40 patients was determined based on a literature study of comparable studies [5]- [8], [11], [13]. In most of these validation studies of wrist-worn health-tracking devices particpant numbers ranged from 20 to 60 patients.…”

Section: Patientsmentioning

confidence: 99%

“…They conclude that wearable devices are not medical devices and that users should be cautious when interpreting results of activity monitoring. Shcherbina et al [13] tested seven devices on healthy subjects and found that HR measurements were within acceptable error range (5%). However, none of the tested devices had EE estimates within an 4 acceptable range.…”

Section: Introductionmentioning

confidence: 99%

“…Validation studies have been done to evaluate accuracy of HR, EE and other measurements in healthy subjects for a variety of fitness trackers [5][6][7][8][9][10][11][12][13][14][15][16][17]. Boudreaux et al [7] tested eight devices for accuracy of HR and EE measurements on healthy subjects and found that HR accuracy from wearable devices differed at different exercise intensities with an increasing underestimation of HR at higher exercise intensities.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Falter¹,

Budts²,

Goetschalckx³

et al. 2018

Preprint

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Section: Principal Resultsmentioning

confidence: 84%

Section: Patientsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Falter¹,

Budts²,

Goetschalckx³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…[1] There are dozens of such commercially-available devices that propose to measure energy expenditure and upon which individuals are making "life-changing decisions." [5] Given that increased AEE is means to achieve a negative caloric deficit, there is tremendous interest its quantification and a need to substantiate its associations with various indices of health to inform science and medicine. [1] Seminal research has also described its inverse association with cardiovascular death rates.…”

Section: Introductionmentioning

confidence: 99%

Associations between Multiple Indices of Energy Expenditure and Body Composition

Brewer¹,

Bentley²,

Moring³

et al. 2017

JPAR

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There has been an explosion of research investigating the association between various indices of physical activity and markers of health, including body composition, with much of this research characterized by subjective measures and single cross-sectional assessments. The purpose was to examine relationships between multiple indices of energy expenditure (EE) and body composition (BC) using objective, clinical tools in a dual cross-sectional design. Males (n=14) wore the SenseWear PRO 2 armband (SP2) for two 3-day periods (T 1 , T 2 ) separated by 6 weeks. The SP2 measured four EE indices: total energy expenditure (TEE, kcal), physical activity energy expenditure (AEE, kcal), physical activity duration (PA, mins), and number of steps (STPS). DXA measured four BC indices: bone mineral content (BMC, g), lean soft tissue (LT, g), and adipose tissue (AT, %, g). Associations between EE and BC were examined using bivariate correlations. At T 1 , TEE was correlated with BMC (r= 0.841, p<0.001) and LT (r=0.638, p=0.014), while AEE was correlated with BMC (r=0.565, p=0.035). At T 2 , TEE was correlated to BMC (r=0.596, p=0.025), while AEE was associated with LT (r=0.535; p=0.049). TEE and AEE demonstrated consistent associations with fat free mass. Despite being key aspects of recommendations for health, physical activity duration and steps were not associated with any BC index nor was either index of fat mass associated with any measure of EE.

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Stretchable, Patch‐Type Calorie‐Expenditure Measurement Device Based on Pop‐Up Shaped Nanoscale Crack‐Based Sensor

Kwon

Shin

et al. 2019

Adv Healthcare Materials

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Demands for precise health information tracking techniques are increasing, especially for daily dietry requirements to prevent obesity, diabetes, etc. Many commercially available sensors that detect dynamic motions of the body lack accuracy, while novel strain sensors at the research level mostly lack the capability to analyze measurements in real life conditions. Here, a stretchable, patch‐type calorie expenditure measurement system is demonstrated that integrates an ultrasensitive crack‐based strain sensor and Bluetooth‐enabled wireless communication circuit to offer both accurate measurements and practical diagnosis of motion. The crack‐based strain gauge transformed into a pop‐up‐shaped structure provides reliable measurements and broad range of strain (≈100%). Combined with the stretchable analysis circuit, the skin attachable tool translates variation of the knee flexion angle into calorie expenditure amount, using relative resistance change (R/R0) data from the flexible sensor. As signals from the knee joint angular movement translates velocity and walking/running behavior, the total amount of calorie expenditure is accurately analyzed. Finally, theoretical, experimental, and simulation analysis of signal stability, dynamic noises, and calorie expenditure calculation obtained from the device during exercise are demonstrated. For further applications, the devices are expected to be used in broader range of dynamic motion of the body for diagnosis of abnormalities and for rehabilitation.

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Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort

Abstract: Background: The ability to measure activity and physiology through wrist-worn devices

Cited by 72 publications

References 17 publications

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

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

Associations between Multiple Indices of Energy Expenditure and Body Composition

Stretchable, Patch‐Type Calorie‐Expenditure Measurement Device Based on Pop‐Up Shaped Nanoscale Crack‐Based Sensor

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