Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …

Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

Early detection of diseases such as COVID-19 could be a critical tool in reducing disease
transmission by helping individuals recognize when they should self-isolate, seek testing …

Artificial intelligence‐enhanced skin‐like sensors based on flexible nanogenerators have
been widely used in physiological signal acquisition, artificial organ, sensory simulation …

In the field of lower limb exoskeletons, besides its electromechanical system design and
control, attention has been paid to realizing the linkage of exoskeleton robots to humans via …

Nowadays often multiple sensors provide real-time data about the same process. However,
most data stream analysis algorithms work over a single feature vector. A common approach …

Private spaces like apartments and vehicles are not yet fully exploited for health monitoring,
which includes continuous measurement of biosignals. This work proposes sensor fusion for …

ECG monitoring systems have a significant role in detecting cardiovascular diseases and
reducing the rate of sudden cardiac deaths. One of the critical factors to support real-time …

This study investigated the application of a modified percussion entropy index (PEIPPI) in
assessing the complexity of baroreflex sensitivity (BRS) for diabetic peripheral neuropathy …

A highly constrained temporal pattern search (“TEPS”) based multiple channel heartbeat
detector is described. TEPS generates sequences of peaks and statistically scores them …