Category: Signal Processing and Deep Learning

The global Continuous Glucose Monitoring (CGM) Sensors market size was accounted at USD 3.6 Bn in 2021; It is projected to grow at a compound annual growth rate (CAGR) of 18% from 2022 to 2030. Diabetes technology has progressed remarkably over the past few years, including the development of markers for...

Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for measuring the physiological state of an individual in daily life. This review aims to examine existing research on photoplethysmogram concerning its generation mechanisms, measurement principles, clinical applications, noise definition, pre-processing techniques, feature detection techniques, and post-processing techniques...

Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the...

How artificial intelligence could provide some respite for the NHSEmma Rich, University of Bath and Andy Miah, University of SalfordThe NHS recently announced plans to trial an artificially intelligent mobile health app to a million people in London. The aim is to help diagnose and treat patients by engaging them in...