Fully automated ECG data acquisition in a bathtub

Author

Ogawa, Mitsuhiro ; Kimura, Yuichi ; Tamura, Toshiyo ; Togawa, Tatsuo

Author_Institution

Inst. for Med. & Dental Eng., Tokyo Med. & Dental Univ., Japan

Volume

1

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

55

Abstract

In apply to home health monitoring, the authors attempted ECG recording in a bathtub. For fully automated data acquisition, a personal identification technique was introduced in which differences in ECG waveforms among individuals were used. The wavelet transform was applied to reduce the ECG data, and a neural network was introduced to create a discrimination algorithm by learning. In a preliminary study, it was shown that more than 91% of ECG data could be identified correctly among a family of five members

Keywords

data acquisition; electrocardiography; medical signal processing; neural nets; patient monitoring; wavelet transforms; ECG waveform differences; bathtub; discrimination algorithm; electrodiagnostics; family; fully automated ECG data acquisition; home health monitoring; learning; personal identification technique; Aging; Biomedical engineering; Biomedical monitoring; Data acquisition; Dentistry; Electrocardiography; Electrodes; Neural networks; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.656843

Filename

656843