Delineation and Analysis of Seismocardiographic Systole and Diastole Profiles
| Autor: | Manas Kamal Bhuyan, Laxmi Sharma, Tilendra Choudhary |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Signal Processing (eess.SP)
medicine.diagnostic_test business.industry Computer science 020208 electrical & electronic engineering Diastole Wavelet transform Pattern recognition 02 engineering and technology Wavelet Data acquisition Fiducial points Photoplethysmogram 0202 electrical engineering electronic engineering information engineering medicine FOS: Electrical engineering electronic engineering information engineering Heart rate variability Artificial intelligence Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering business Instrumentation Electrocardiography |
| DOI: | 10.48550/arxiv.2002.10405 |
| Popis: | Precise estimation of fiducial points of a seismocardiogram (SCG) signal is a challenging problem for its clinical usage. Delineation techniques proposed in the existing literature do not estimate all the clinically significant points of an SCG signal, simultaneously. The aim of this research work is to propose a delineation framework to identify IM, AO, IC, AC, pAC and MO fiducial points with the help of a PPG signal. The proposed delineation method processes a wavelet-based scalographic PPG and an envelope construction scheme is proposed to estimate the prominent peaks of the PPG signal. A set of amplitude histogram based decision rules is developed for estimation of SCG diastole phases, namely AC, pAC and MO. Subsequently, the systolic phases, IM, AO and IC are detected by applying diastole masking on SCG and decision rules. Experimental results on real-time SCG signals acquired from our designed data acquisition-circuitry and their analysis show the effectiveness of the proposed scheme. Additionally, these estimated parameters are analyzed to show the discrimination between normal breathing and breathlessness conditions. Comment: IEEE Transactions on Instrumentation and Measurement, 2020 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|