Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I

Research output: Contribution to journalJournal articleResearchpeer-review

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Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes : Results from the Future Patient Trial, Phase I. / Leth, Soren; Hansen, John; Nielsen, Olav W; Dinesen, Birthe.

In: Sensors, Vol. 17, No. 1, 211, 2017.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Leth, S, Hansen, J, Nielsen, OW & Dinesen, B 2017, 'Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I', Sensors, vol. 17, no. 1, 211. https://doi.org/10.3390/s17010211

APA

Leth, S., Hansen, J., Nielsen, O. W., & Dinesen, B. (2017). Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I. Sensors, 17(1), [211]. https://doi.org/10.3390/s17010211

Vancouver

Leth S, Hansen J, Nielsen OW, Dinesen B. Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I. Sensors. 2017;17(1). 211. https://doi.org/10.3390/s17010211

Author

Leth, Soren ; Hansen, John ; Nielsen, Olav W ; Dinesen, Birthe. / Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes : Results from the Future Patient Trial, Phase I. In: Sensors. 2017 ; Vol. 17, No. 1.

Bibtex

@article{a25598cacbc7482a8363ec557c831134,
title = "Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I",
abstract = "Commercial self-monitoring devices are becoming increasingly popular, and over the last decade, the use of self-monitoring technology has spread widely in both consumer and medical markets. The purpose of this study was to evaluate five commercially available self-monitoring devices for further testing in clinical applications. Four activity trackers and one sleep tracker were evaluated based on step count validity and heart rate validity.METHODS: The study enrolled 22 healthy volunteers in a walking test. Volunteers walked a 100 m track at 2 km/h and 3.5 km/h. Steps were measured by four activity trackers and compared to gyroscope readings. Two trackers were also tested on nine subjects by comparing pulse readings to Holter monitoring.RESULTS: The lowest average systematic error in the walking tests was -0.2%, recorded on the Garmin Vivofit 2 at 3.5 km/h; the highest error was the Fitbit Charge HR at 2 km/h with an error margin of 26.8%. Comparisons of pulse measurements from the Fitbit Charge HR revealed a margin error of -3.42% ± 7.99% compared to the electrocardiogram. The Beddit sleep tracker measured a systematic error of -3.27% ± 4.60%.CONCLUSION: The measured results revealed the current functionality and limitations of the five self-tracking devices, and point towards a need for future research in this area.",
keywords = "Journal Article",
author = "Soren Leth and John Hansen and Nielsen, {Olav W} and Birthe Dinesen",
year = "2017",
doi = "10.3390/s17010211",
language = "English",
volume = "17",
journal = "Sensors",
issn = "1424-3210",
publisher = "M D P I AG",
number = "1",

}

RIS

TY - JOUR

T1 - Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes

T2 - Results from the Future Patient Trial, Phase I

AU - Leth, Soren

AU - Hansen, John

AU - Nielsen, Olav W

AU - Dinesen, Birthe

PY - 2017

Y1 - 2017

N2 - Commercial self-monitoring devices are becoming increasingly popular, and over the last decade, the use of self-monitoring technology has spread widely in both consumer and medical markets. The purpose of this study was to evaluate five commercially available self-monitoring devices for further testing in clinical applications. Four activity trackers and one sleep tracker were evaluated based on step count validity and heart rate validity.METHODS: The study enrolled 22 healthy volunteers in a walking test. Volunteers walked a 100 m track at 2 km/h and 3.5 km/h. Steps were measured by four activity trackers and compared to gyroscope readings. Two trackers were also tested on nine subjects by comparing pulse readings to Holter monitoring.RESULTS: The lowest average systematic error in the walking tests was -0.2%, recorded on the Garmin Vivofit 2 at 3.5 km/h; the highest error was the Fitbit Charge HR at 2 km/h with an error margin of 26.8%. Comparisons of pulse measurements from the Fitbit Charge HR revealed a margin error of -3.42% ± 7.99% compared to the electrocardiogram. The Beddit sleep tracker measured a systematic error of -3.27% ± 4.60%.CONCLUSION: The measured results revealed the current functionality and limitations of the five self-tracking devices, and point towards a need for future research in this area.

AB - Commercial self-monitoring devices are becoming increasingly popular, and over the last decade, the use of self-monitoring technology has spread widely in both consumer and medical markets. The purpose of this study was to evaluate five commercially available self-monitoring devices for further testing in clinical applications. Four activity trackers and one sleep tracker were evaluated based on step count validity and heart rate validity.METHODS: The study enrolled 22 healthy volunteers in a walking test. Volunteers walked a 100 m track at 2 km/h and 3.5 km/h. Steps were measured by four activity trackers and compared to gyroscope readings. Two trackers were also tested on nine subjects by comparing pulse readings to Holter monitoring.RESULTS: The lowest average systematic error in the walking tests was -0.2%, recorded on the Garmin Vivofit 2 at 3.5 km/h; the highest error was the Fitbit Charge HR at 2 km/h with an error margin of 26.8%. Comparisons of pulse measurements from the Fitbit Charge HR revealed a margin error of -3.42% ± 7.99% compared to the electrocardiogram. The Beddit sleep tracker measured a systematic error of -3.27% ± 4.60%.CONCLUSION: The measured results revealed the current functionality and limitations of the five self-tracking devices, and point towards a need for future research in this area.

KW - Journal Article

U2 - 10.3390/s17010211

DO - 10.3390/s17010211

M3 - Journal article

C2 - 28117736

VL - 17

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 1

M1 - 211

ER -

ID: 186776763