Real-time photoplethysmogram (PPG) denoising and data compression has become most
essential requirements for accurately measuring vital parameters and efficient data …

Objective To monitor cardiovascular functions, real-time ambulatory and telemedicine
systems have limited storage capacity, necessitating the minimization of data quantity. This …

On-device computing in biomedical sensors has become attractive for developing wearable
health monitoring systems. The challenge is to make a compromise between the latency and …

Objective Data compression is a useful process in tele-monitoring applications, in which
lesser number of bits are needed to represent the same data. In this work, a run-time …

Photoplethysmography is a simple, widely used low cost technique to acquire important
diagnostic information for assessing significant physiological parameters of the human body …

A critical challenge to using longitudinal wearable sensor biosignal data for healthcare
applications and digital biomarker development is the exacerbation of the healthcare “data …

Photoelectric Photoplethysmography is a non-invasive method used to measure the
volumetric variations in blood circulation due to cardiac, respiratory and other physiological …

The use of Internet of Things (IoT) that integrate smart bio sensor devices to the internet and
shows individual health in real time. Healthcare organizations gain measurable insights into …

Electronic health (e-health) networks enable users to enjoy convenient, flexible, and low-
cost medical services at home, so they attract great attention and spread into the market …

Objective: Assessing the respiratory and lung mechanics of the patients in intensive care
units is of utmost need in order to guide the management of ventilation support. The …