Alexandra Jamieson, M. Orini, N. Chaturvedi, Alun D. Hughes
{"title":"两种腕部可穿戴设备用于运动能力远程评估的验证研究","authors":"Alexandra Jamieson, M. Orini, N. Chaturvedi, Alun D. Hughes","doi":"10.22489/CinC.2022.259","DOIUrl":null,"url":null,"abstract":"We determined wearable device errors in assessing a 6-Minute Walk Test (6MWT). 16 healthy adults (male 7(44%), mean $age\\pm SD \\ 27\\pm 4$ years) performed a standard (6MWT-S) and modified, free range’, (6MWT-FR) protocols with a Garmin and Fitbit smartwatch to measure three parameters: distance, step count and heart rate (HR). Distance during the 6MWT-FR was measured with smaller errors during 6MWT-S for both Garmin (Mean Absolute Percentage Error, $MAPE=9.8{\\%}$ [4.6%,12.6%] $vs \\quad 18.5\\%[13.0\\%,27.4\\%],p < 0.001)$ and Fitbit $(M A P E=9.4 \\%[4.5 \\%, 13.3 \\%] \\ {vs } \\ 22.7 \\%[18.3 \\%, 29.3 \\%],p < 0.001)$. Steps were measured with smaller errors with Garmin $(M A P E=2.3 \\%[1.1 \\%, 2.9 \\%]; r=0.96)$ than Fitbit (Fitbit: $MAPE=8.1\\%[5.0\\%,12.9\\%]; \\ r=0.24)$. Heart rate at rest, peak exercise and recovery was measured with median MAPE ranging between 1.2% and $2.9{\\%}$, with no evidence of difference between the two devices. Wearable measurements of the 6MWT provide insights about exercise capacity which could be monitored and evaluated remotely.","PeriodicalId":117840,"journal":{"name":"2022 Computing in Cardiology (CinC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Validation Study of Two Wrist Worn Wearable Devices for Remote Assessment of Exercise Capacity\",\"authors\":\"Alexandra Jamieson, M. Orini, N. Chaturvedi, Alun D. Hughes\",\"doi\":\"10.22489/CinC.2022.259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We determined wearable device errors in assessing a 6-Minute Walk Test (6MWT). 16 healthy adults (male 7(44%), mean $age\\\\pm SD \\\\ 27\\\\pm 4$ years) performed a standard (6MWT-S) and modified, free range’, (6MWT-FR) protocols with a Garmin and Fitbit smartwatch to measure three parameters: distance, step count and heart rate (HR). Distance during the 6MWT-FR was measured with smaller errors during 6MWT-S for both Garmin (Mean Absolute Percentage Error, $MAPE=9.8{\\\\%}$ [4.6%,12.6%] $vs \\\\quad 18.5\\\\%[13.0\\\\%,27.4\\\\%],p < 0.001)$ and Fitbit $(M A P E=9.4 \\\\%[4.5 \\\\%, 13.3 \\\\%] \\\\ {vs } \\\\ 22.7 \\\\%[18.3 \\\\%, 29.3 \\\\%],p < 0.001)$. Steps were measured with smaller errors with Garmin $(M A P E=2.3 \\\\%[1.1 \\\\%, 2.9 \\\\%]; r=0.96)$ than Fitbit (Fitbit: $MAPE=8.1\\\\%[5.0\\\\%,12.9\\\\%]; \\\\ r=0.24)$. Heart rate at rest, peak exercise and recovery was measured with median MAPE ranging between 1.2% and $2.9{\\\\%}$, with no evidence of difference between the two devices. Wearable measurements of the 6MWT provide insights about exercise capacity which could be monitored and evaluated remotely.\",\"PeriodicalId\":117840,\"journal\":{\"name\":\"2022 Computing in Cardiology (CinC)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Computing in Cardiology (CinC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22489/CinC.2022.259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Computing in Cardiology (CinC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22489/CinC.2022.259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Validation Study of Two Wrist Worn Wearable Devices for Remote Assessment of Exercise Capacity
We determined wearable device errors in assessing a 6-Minute Walk Test (6MWT). 16 healthy adults (male 7(44%), mean $age\pm SD \ 27\pm 4$ years) performed a standard (6MWT-S) and modified, free range’, (6MWT-FR) protocols with a Garmin and Fitbit smartwatch to measure three parameters: distance, step count and heart rate (HR). Distance during the 6MWT-FR was measured with smaller errors during 6MWT-S for both Garmin (Mean Absolute Percentage Error, $MAPE=9.8{\%}$ [4.6%,12.6%] $vs \quad 18.5\%[13.0\%,27.4\%],p < 0.001)$ and Fitbit $(M A P E=9.4 \%[4.5 \%, 13.3 \%] \ {vs } \ 22.7 \%[18.3 \%, 29.3 \%],p < 0.001)$. Steps were measured with smaller errors with Garmin $(M A P E=2.3 \%[1.1 \%, 2.9 \%]; r=0.96)$ than Fitbit (Fitbit: $MAPE=8.1\%[5.0\%,12.9\%]; \ r=0.24)$. Heart rate at rest, peak exercise and recovery was measured with median MAPE ranging between 1.2% and $2.9{\%}$, with no evidence of difference between the two devices. Wearable measurements of the 6MWT provide insights about exercise capacity which could be monitored and evaluated remotely.