Ensemble heart rate extraction method for biological data from water pressure sensor

Fumito Uwano, Keiki Takadama

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper proposes new heart rate estimation method for biological data from sleep monitor sensor toward estimating sleep stage accurately. Concretely, we employed two heart rate estimation methods, and integrated the two methods as weak estimator. One of the two methods calculates power spectrum from the biological data by FFT, and selects the frequency with maximum spectrum as heart rate (HR). The other calculates power spectrum as a same manner of the former method, and selects the frequency which indicates the half size of all power spectrum as HR. To validate the effectiveness of EHEM, this paper applies EHEM to pressure data from sleep monitor sensor. From the result, EHEM can extract HR accurately, and prevent from outliers generated by HEM-FFT. We are going to research (1) what method gives good influence to EHEM, and (2) how to integrate the HRs extracted from the methods.

Original languageEnglish
Pages304-309
Number of pages6
Publication statusPublished - 2018
Externally publishedYes
Event2018 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 26 2018Mar 28 2018

Conference

Conference2018 AAAI Spring Symposium
CountryUnited States
CityPalo Alto
Period3/26/183/28/18

ASJC Scopus subject areas

  • Artificial Intelligence

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