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2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)最新文献

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Poster Abstract: Know You Better: a Smart Watch Based Health Monitoring System 摘要:了解你更好:基于智能手表的健康监测系统
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/CHASE48038.2019.00009
Yang Gu, Jianfei Shen, Yiqiang Chen
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引用次数: 4
[Copyright notice] (版权)
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-09-01 DOI: 10.1109/chase48038.2019.00003
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引用次数: 0
Fuzzy C-Means Clustering and Sonification of HRV Features HRV特征的模糊c均值聚类与超声
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Pub Date : 2019-08-19 DOI: 10.1109/CHASE48038.2019.00024
Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey
{"title":"Fuzzy C-Means Clustering and Sonification of HRV Features","authors":"Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey","doi":"10.1109/CHASE48038.2019.00024","DOIUrl":"https://doi.org/10.1109/CHASE48038.2019.00024","url":null,"abstract":"Linear and non-linear measures of heart rate variability (HRV) are widely investigated as non-invasive indicators of health. Stress has a profound impact on heart rate, and different meditation techniques have been found to modulate heartbeat rhythm. This paper aims to explore the process of identifying appropriate metrices from HRV analysis for sonification. Sonification is a type of auditory display involving the process of mapping data to acoustic parameters. This work explores the use of auditory display in aiding the analysis of HRV leveraged by unsupervised machine learning techniques. Unsupervised clustering helps select the appropriate features to improve the sonification interpretability. Vocal synthesis sonification techniques are employed to increase comprehension and learnability of the processed data displayed through sound. These analyses are early steps in building a real-time sound-based biofeedback training system.","PeriodicalId":137790,"journal":{"name":"2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121819402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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