James A. J. Heathers, Jessica B. Hoel, S. Wegerif, Benjamin Schwab, N. Ledlie, Kibrewossen Abay, Guush Berhane, J. Hoddinott
{"title":"Smartphone Platform Survey-Scale Heart Rate Collection: a Performance Evaluation in Ethiopia","authors":"James A. J. Heathers, Jessica B. Hoel, S. Wegerif, Benjamin Schwab, N. Ledlie, Kibrewossen Abay, Guush Berhane, J. Hoddinott","doi":"10.1145/2668883.2668967","DOIUrl":null,"url":null,"abstract":"Heart rate variability (HRV), a common method of assessing human autonomic status calculated from the heart beat over time, has traditionally been collected in laboratory based models unsuitable for mass or survey-scale collection. Here, we field-trial a solution for the collection of heart rate data, using a photoplethysmographic sensor via a smartphone platform in a pilot sample (n=679). Internal and test-retest reliability of the data over time is excellent, reproduces expected demographic relationships (age/gender vs. HRV) and compares favorably to existing experimental models. The system is suitable for future work in development economics, to assess cardiac / autonomic health in parallel with survey measures of economic development.","PeriodicalId":185800,"journal":{"name":"Proceedings of the Wireless Health 2014 on National Institutes of Health","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Wireless Health 2014 on National Institutes of Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2668883.2668967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Heart rate variability (HRV), a common method of assessing human autonomic status calculated from the heart beat over time, has traditionally been collected in laboratory based models unsuitable for mass or survey-scale collection. Here, we field-trial a solution for the collection of heart rate data, using a photoplethysmographic sensor via a smartphone platform in a pilot sample (n=679). Internal and test-retest reliability of the data over time is excellent, reproduces expected demographic relationships (age/gender vs. HRV) and compares favorably to existing experimental models. The system is suitable for future work in development economics, to assess cardiac / autonomic health in parallel with survey measures of economic development.