Objective. Stroke is one of the most common neural disorders, which causes physical
disabilities and motor impairments among its survivors. Several technologies have been …

Background: Wearable multi-modal time-series classification applications outperform their
best uni-modal counterparts and hold great promise. A modality that directly measures …

Variation in human brains creates difficulty in implementing electroencephalography into
universal brain–machine interfaces. Conventional electroencephalography systems typically …

The deployment of wearable wireless systems that collect physiological indicators to aid in
diagnosing neurological disorders represents a potential solution for the new generation of …

In this paper, we propose a bit depth compression (BDC) technique, which performs bit
packing by dynamically determining the pack size based on the pattern of the bit depth level …

Due to advancements in healthcare monitoring systems, the Internet of Things concepts are
proficiently utilized in the medical field to detect and diagnose the physical health problems …

Electrocardiogram (ECG) represents the recording of the heart's electrical activity and is
used to diagnose heart disease nowadays. The diagnosis requires huge time consumption …

Recent enhancements in the field of wireless communication protocols have led to the
development of several wearable devices and sensor networks suitable for health …

This work presents a novel amplifier architecture which is the input stage of an analog front
end targeting the acquisition of biological signals with low voltage supply (1.2 V), low noise …

Featured Application Wireless Body Sensor Network, Wireless Body Area Network, Remote
Healthcare, Internet of Things and Wearable Device. Abstract Data transmission of …