An approach is proposed for the detection of chronic heart disorders from the
electrocardiogram (ECG) signals. It utilizes an intelligent event-driven ECG signal …

Mobile healthcare is an emerging technique for clinical applications. It is usually based on
cloud-connected biomedical implants. In this context, a novel solution is presented for the …

This paper devises a novel Analog to Digital Converter (ADC) framework for energy-aware
acquisition of analog signals with Logic-in-Memory capabilities. The beyond-CMOS …

Radio frequency identification (RFID) is a technology that uses electromagnetic waves
(EMW) to send, process, and store data by using a built-in integrated circuit and antenna …

In this paper, the problem of target localization in the presence of outlying sensors is tackled.
This problem is important in practice because in many real-world applications the sensors …

Glaucoma, the silent thief of vision, is mostly caused by the gradual increase of pressure in
the eye which is known as intraocular pressure (IOP). An effective way to prevent the rise in …

Automated acoustic recognition of birds is considered an important technology in support of
biodiversity monitoring and biodiversity conservation activities. These activities require …

Adaptive thresholding methods have proved to yield a high signal‐to‐noise ratio (SNR) and
fast convergence in sparse signal recovery. The robustness of a class of iterative sparse …

This paper presents a novel framework to detect the status of intraocular pressure
(normal/high) using solely frontal eye image analysis. The framework is based on machine …

A novel, highly accurate signal reconstruction algorithm for signal recovery from 2-level
amplitude sampling is proposed. Our method is non-iterative and exploits high fidelity local …