For decades, the revolution in design and fabrication methodology of flexible capacitive
pressure sensors using various inorganic/organic materials has significantly enhanced the …

Electrical transduction-based pressure sensors namely resistance, capacitance,
piezoelectric, and triboelectric pressure sensors are deep-rooted in different applications …

This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …

Objective Clinical morphology of electrocardiogram (ECG) signal is compulsory to analyze
the cardiac activity. During long term measurement, missing of data is a common factor …

Research on noninvasive blood pressure (NIBP) measurement using electrocardiogram
(ECG)/photoplethysmogram (PPG) and their combinations has been most popular in …

Blood pressure (BP) estimation is one of the most popular and long-standing topics in health-
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …

Remote photoplethysmography (rPPG) recorded by low-cost smartphone cameras is a
promising method for noncontact monitoring of heart rate (HR). The main challenges of this …

Goal: To achieve high-quality comprehensive feature extraction from physiological signals
that enables precise physiological parameter estimation despite evolving waveform …

Purpose Cardiologists use 12-lead electrocardiograph (ECG) and prolonged continuous
Holter monitoring to detect abnormalities in heart rhythm, which could diagnose or hint at …

This work proposes an ultra-low-energy ECG data compression with VLSI DHWT-based
(discrete Haar wavelet transform) architecture to enable storage and transmission in …