Context-aware HRV analysis system

Ji, Lijun; Wu, Jiankang; Yang, Yuanjing; Wang, Shaofeng; Li, Aiguang

doi:10.1109/iciea.2011.5975742

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2012

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(2 citation statements)

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“…HRV is a physiological phenomenon where the time interval between heart beats varies. It is measured by the variation in the beat-to-beat interval [8]. In the system, we use the standard deviation of NN intervals (SDNN) as the assessment index of HRV.…”

Section: Hrvmentioning

confidence: 99%

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Context-Aware Monitoring of Cardiac Health

2012

AMM

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As the technology of sensor network advances, wearable health monitoring becomes feasible. Here we present a context-aware monitoring system for cardiac health, which consists of three modules: signal acquisition for physiological signal as well as context information; processing, analysis and interpretation of signal modality as well as fusion of context to generate cardiac health indices; interface for human-machine interaction. Both captured original data and analysis results are stored in an SD card for further processing in the server. The system works continuously for 24 hours. The proposed cardiac health indices can be applied for health status monitoring and early prediction of cardiovascular disease.

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Section: Hrvmentioning

confidence: 99%

“…Performance of bottom-up method is dependent on the distance measure. In this application, the distance measure between two segments i and j is defined as Further description of the signal segmentation algorithm is in [8]. Having the segments with activity types and intensity constraints, we select proper segments for HRV analysis.…”

Section: )mentioning

confidence: 99%

Context-Aware Monitoring of Cardiac Health

2012

AMM

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show abstract

Context-aware HRV analysis system

Cited by 1 publication

References 8 publications

Context-Aware Monitoring of Cardiac Health

Context-Aware Monitoring of Cardiac Health

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