An approach towards realizing the intelligent sphygmogram sampling for e-home healthcare

Abstract Pulse wave transit time (PWTT) method has been widely used in continuous blood pressure estimation by simultaneously measuring electrocardiogram and pulse signals in most researches [1] . Comparing with the morphological characteristic of photoplethysmograph (PPG) [2] , the alternative sphy...

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Veröffentlicht in:Computer methods and programs in biomedicine 2012-12, Vol.108 (3), p.1199-1205
Hauptverfasser: Lei, Wai Kei, Dong, Ming Chui, Fang, Wei Xuan, Hu, Xiang Yang
Format: Artikel
Sprache:eng
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Zusammenfassung:Abstract Pulse wave transit time (PWTT) method has been widely used in continuous blood pressure estimation by simultaneously measuring electrocardiogram and pulse signals in most researches [1] . Comparing with the morphological characteristic of photoplethysmograph (PPG) [2] , the alternative sphygmogram (SPG) signal is much sharper and promising to improve the accuracy of onset point detection in PWTT estimation. Consequently, a hardware and software close-loop control scheme for SPG sampling with less distortion is proposed, through which the signal amplitude and baseline self-adjustment is realized such that the resulted SPG signal is more properly suitable for onset point detection. Testing results show out its superior features for adapting PWTT in e-home healthcare.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2012.06.003