Derivation of respiration from ECG measured without subject´s awareness using wavelet transform

Author

Yi, W.J. ; Park, K.S.

Author_Institution

Inst. of Med. & Biol. Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

2002

fDate

2002

Firstpage

130

Abstract

We developed a system to measure ECG without subject´s awareness and derived respiration from the ECG using the wavelet transform. The bed sheet electrodes consisted of three pieces of conductive textiles. Respiratory signals (EDR) were derived by reconstructing the detail signal of the 9th decomposition from the wavelet transform. The respiration periods were calculated by detecting the zero-crossing of the respiratory signals. Correlations between series of respiration periods extracted from EDR and airflow were high for all subjects.

Keywords

biomedical electrodes; electrocardiography; medical signal processing; pneumodynamics; signal reconstruction; wavelet transforms; 9th decomposition; ECG derived respiration; bed sheet electrodes; body surface electrodes; conductive textiles electrode; electrically conductive textiles; electrodiagnostics; mean electrical axis direction measurement; medical diagnostic technique; respiration periods series; respiratory waveforms; thoracic cavity impedance changes; Biomedical engineering; Biomedical measurements; Discrete wavelet transforms; Electric variables measurement; Electrocardiography; Electrodes; Frequency; Monitoring; Textiles; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134420

Filename

1134420