Chaotic systems are widely used in signal and image encryption schemes. Therefore, the
design of new chaotic systems is always useful for improving the performance of encryption …

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

Photoplethysmography (PPG) is a popular diagnostic tool for the assessment of various
cardiovascular functions. Under continuous ambulatory measurements, PPG data get …

Psychophysiological computing can be utilized to analyze heterogeneous physiological
signals with psychological behaviors in the Internet of Medical Things (IoMT). Since IoMT …

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

Most wearable medical devices are designed to continuously acquire
photoplethysmography (PPG) for measuring vital signs and transmitting acquired PPG data …

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 …

Continuous physiological sound monitoring is crucial for the prevention, diagnosis, and
treatment of various diseases like cardiopulmonary and gastrointestinal conditions …

Continuous long term monitoring of Photoplethysmogram (PPG) in home monitoring
applications necessitates the need for data compression to reduce the storage requirement …

Smart wearable and portable healthcare devices are used for continuous patient health
monitoring but have limited battery power and on-board memory. Therefore, there is a huge …