An Electrocardiogram (ECG) is a typical method used to detect heartbeat, and an ECG
signal analysis enables the detection of some heart diseases. However, the ECG-based …

This paper explores the use of a common smartphone for measuring simultaneously both
heartbeat intervals and respiratory cycles. The proposed technique uses the smartphone's …

Objective: Non-contact sensing of seismocardiogram (SCG) signals through a microwave
Doppler radar is promising for biomedical applications. However, the delineation of fiducial …

This research aims to propose a standalone systolic profile (SP) detection method that could
locate systolic profiles without referring to concurrent R-peaks of electrocardiogram (ECG) …

The dynamic left ventricular ejection time (LVET) represents a crucial cardiovascular health
indicator. Seismocardiography (SCG) offers substantial advantages over conventional …

This paper presents a new time-varying decomposition method based on the Hilbert
Vibration Decomposition (HVD) for estimating heart rate from a Seismocardiogram (SCG) …

Accurately detecting the aortic valve opening (AO) peaks of seismocardiography (SCG) is a
challenging problem due to interference of other morphological inflection points. In this …

Wearable health devices for continuous recording of heart rate (HR) and respiration are a
common practice in wellness measurement applications. Typically, these can provide …

Seismocardiography (SCG) is a non-invasive method that measures local vibrations created
by the mechanical cardiovascular exercises on the chest wall. Thereby, mechanical …

Our study presents linear prediction coding (LPC) technique-based AO peak detection
framework for seismocardiogram (SCG) signal and heart rate (HR) estimation. In the …