The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings
MotionSense HRV is a wrist-worn accelerometery-based sensor that is paired with a smartphone and is thus capable of measuring the intensity, duration, and frequency of physical activity (PA). However, little information is available on the validity of the MotionSense HRV. Therefore, the purpose of t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/4/1411 |
| _version_ | 1797396108901613568 |
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| author | Sunku Kwon Neng Wan Ryan D. Burns Timothy A. Brusseau Youngwon Kim Santosh Kumar Emre Ertin David W. Wetter Cho Y. Lam Ming Wen Wonwoo Byun |
| author_facet | Sunku Kwon Neng Wan Ryan D. Burns Timothy A. Brusseau Youngwon Kim Santosh Kumar Emre Ertin David W. Wetter Cho Y. Lam Ming Wen Wonwoo Byun |
| author_sort | Sunku Kwon |
| collection | DOAJ |
| description | MotionSense HRV is a wrist-worn accelerometery-based sensor that is paired with a smartphone and is thus capable of measuring the intensity, duration, and frequency of physical activity (PA). However, little information is available on the validity of the MotionSense HRV. Therefore, the purpose of this study was to assess the concurrent validity of the MotionSense HRV in estimating sedentary behavior (SED) and PA. A total of 20 healthy adults (age: 32.5 ± 15.1 years) wore the MotionSense HRV and ActiGraph GT9X accelerometer (GT9X) on their non-dominant wrist for seven consecutive days during free-living conditions. Raw acceleration data from the devices were summarized into average time (min/day) spent in SED and moderate-to-vigorous PA (MVPA). Additionally, using the Cosemed K5 indirect calorimetry system (K5) as a criterion measure, the validity of the MotionSense HRV was examined in simulated free-living conditions. Pearson correlations, mean absolute percent errors (MAPE), Bland–Altman (BA) plots, and equivalence tests were used to examine the validity of the MotionSense HRV against criterion measures. The correlations between the MotionSense HRV and GT9X were high and the MAPE were low for both the SED (r = 0.99, MAPE = 2.4%) and MVPA (r = 0.97, MAPE = 9.1%) estimates under free-living conditions. BA plots illustrated that there was no systematic bias between the MotionSense HRV and criterion measures. The estimates of SED and MVPA from the MotionSense HRV were significantly equivalent to those from the GT9X; the equivalence zones were set at 16.5% for SED and 29% for MVPA. The estimates of SED and PA from the MotionSense HRV were less comparable when compared with those from the K5. The MotionSense HRV yielded comparable estimates for SED and PA when compared with the GT9X accelerometer under free-living conditions. We confirmed the promising application of the MotionSense HRV for monitoring PA patterns for practical and research purposes. |
| first_indexed | 2024-03-09T00:46:34Z |
| format | Article |
| id | doaj.art-431ace3814fd4b8eb16a529a28f6e96b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T00:46:34Z |
| publishDate | 2021-02-01 |
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| spelling | doaj.art-431ace3814fd4b8eb16a529a28f6e96b2023-12-11T17:28:37ZengMDPI AGSensors1424-82202021-02-01214141110.3390/s21041411The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity SettingsSunku Kwon0Neng Wan1Ryan D. Burns2Timothy A. Brusseau3Youngwon Kim4Santosh Kumar5Emre Ertin6David W. Wetter7Cho Y. Lam8Ming Wen9Wonwoo Byun10Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USADepartment of Geography, University of Utah, Salt Lake City, UT 84112, USADepartment of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USADepartment of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USASchool of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong KongDepartment of Computer Science, University of Memphis, Memphis, TN 38152, USADepartment of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USADepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USADepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USADepartment of Sociology, University of Utah, Salt Lake City, UT 84112, USADepartment of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USAMotionSense HRV is a wrist-worn accelerometery-based sensor that is paired with a smartphone and is thus capable of measuring the intensity, duration, and frequency of physical activity (PA). However, little information is available on the validity of the MotionSense HRV. Therefore, the purpose of this study was to assess the concurrent validity of the MotionSense HRV in estimating sedentary behavior (SED) and PA. A total of 20 healthy adults (age: 32.5 ± 15.1 years) wore the MotionSense HRV and ActiGraph GT9X accelerometer (GT9X) on their non-dominant wrist for seven consecutive days during free-living conditions. Raw acceleration data from the devices were summarized into average time (min/day) spent in SED and moderate-to-vigorous PA (MVPA). Additionally, using the Cosemed K5 indirect calorimetry system (K5) as a criterion measure, the validity of the MotionSense HRV was examined in simulated free-living conditions. Pearson correlations, mean absolute percent errors (MAPE), Bland–Altman (BA) plots, and equivalence tests were used to examine the validity of the MotionSense HRV against criterion measures. The correlations between the MotionSense HRV and GT9X were high and the MAPE were low for both the SED (r = 0.99, MAPE = 2.4%) and MVPA (r = 0.97, MAPE = 9.1%) estimates under free-living conditions. BA plots illustrated that there was no systematic bias between the MotionSense HRV and criterion measures. The estimates of SED and MVPA from the MotionSense HRV were significantly equivalent to those from the GT9X; the equivalence zones were set at 16.5% for SED and 29% for MVPA. The estimates of SED and PA from the MotionSense HRV were less comparable when compared with those from the K5. The MotionSense HRV yielded comparable estimates for SED and PA when compared with the GT9X accelerometer under free-living conditions. We confirmed the promising application of the MotionSense HRV for monitoring PA patterns for practical and research purposes.https://www.mdpi.com/1424-8220/21/4/1411mobile healthsedentary behaviorphysical activityvalidityMotionSense HRVaccelerometer |
| spellingShingle | Sunku Kwon Neng Wan Ryan D. Burns Timothy A. Brusseau Youngwon Kim Santosh Kumar Emre Ertin David W. Wetter Cho Y. Lam Ming Wen Wonwoo Byun The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings Sensors mobile health sedentary behavior physical activity validity MotionSense HRV accelerometer |
| title | The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings |
| title_full | The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings |
| title_fullStr | The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings |
| title_full_unstemmed | The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings |
| title_short | The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings |
| title_sort | validity of motionsense hrv in estimating sedentary behavior and physical activity under free living and simulated activity settings |
| topic | mobile health sedentary behavior physical activity validity MotionSense HRV accelerometer |
| url | https://www.mdpi.com/1424-8220/21/4/1411 |
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