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

Fumito Uwano, Keiki Takadama

Research output: Contribution to conferencePaperpeer-review


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


Conference2018 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto

ASJC Scopus subject areas

  • Artificial Intelligence


Dive into the research topics of 'Ensemble heart rate extraction method for biological data from water pressure sensor'. Together they form a unique fingerprint.

Cite this