Sample results79 results in the last year.
Wet‐adaptive electronic skin
Skin electronics provides remarkable opportunities for non‐invasive and long‐term
monitoring of a wide variety of biophysical and physiological signals that are closely
related to health, medicine, and human‐machine interactions. Nevertheless�…
monitoring of a wide variety of biophysical and physiological signals that are closely
related to health, medicine, and human‐machine interactions. Nevertheless�…
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Background: During the COVID-19 pandemic, there is a global demand for intelligent
health surveillance and diagnosis systems for patients with critical conditions,
particularly those with severe heart diseases. Sophisticated measurement tools are�…
health surveillance and diagnosis systems for patients with critical conditions,
particularly those with severe heart diseases. Sophisticated measurement tools are�…
A comprehensive review of computer-based Techniques for R-peaks/QRS complex detection in ECG signal
Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-
wave, QRS complex and T-wave, plays a crucial role in the treatment of
cardiovascular disease. For an analysis of cardiac diagnosis, it is required that�…
wave, QRS complex and T-wave, plays a crucial role in the treatment of
cardiovascular disease. For an analysis of cardiac diagnosis, it is required that�…
Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
Blood pressure (BP) estimation is one of the most popular and long-standing topics
in health-care monitoring area. The utilization of machine learning (ML) and deep
learning (DL) for BP prediction has made remarkable progress recently along with�…
in health-care monitoring area. The utilization of machine learning (ML) and deep
learning (DL) for BP prediction has made remarkable progress recently along with�…
Novel phonocardiography system for heartbeat detection from various locations
The paper presents evaluation of the proposed phonocardiography (PCG)
measurement system designed primarily for heartbeat detection to estimate heart
rate (HR). Typically, HR estimation is performed using electrocardiography (ECG) or�…
measurement system designed primarily for heartbeat detection to estimate heart
rate (HR). Typically, HR estimation is performed using electrocardiography (ECG) or�…
A novel exploitative and explorative GWO-SVM algorithm for smart emotion recognition
Emotion recognition or detection is broadly utilized in patient–doctor interactions for
diseases, such as schizophrenia and autism and the most typical techniques are
speech detection and facial recognition. However, features extracted from these�…
diseases, such as schizophrenia and autism and the most typical techniques are
speech detection and facial recognition. However, features extracted from these�…
Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network
Timely detection of anomalies and automatic interpretation of an electrocardiogram
(ECG) play a crucial role in many healthcare applications, such as patient monitoring
and post treatments. Beat-wise segmentation is one of the essential steps in�…
(ECG) play a crucial role in many healthcare applications, such as patient monitoring
and post treatments. Beat-wise segmentation is one of the essential steps in�…
Speckle-based structured light shift-keying for non-line-of-sight optical communication
We report an experimental proof of concept for speckle-based one-to-three non-line-
of-sight (NLOS) free space optical (FSO) communication channels employing
structured light shift-keying. A 3-bit gray image of resolution 100� 100 pixels is�…
of-sight (NLOS) free space optical (FSO) communication channels employing
structured light shift-keying. A 3-bit gray image of resolution 100� 100 pixels is�…
Stiffness pulsation of the human brain detected by non-invasive time-harmonic elastography
Introduction: Cerebral pulsation is a vital aspect of cerebral hemodynamics. Changes
in arterial pressure in response to cardiac pulsation cause cerebral pulsation, which
is related to cerebrovascular compliance and cerebral blood perfusion�…
in arterial pressure in response to cardiac pulsation cause cerebral pulsation, which
is related to cerebrovascular compliance and cerebral blood perfusion�…
SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection
Objective. Accurate detection of electrocardiogram (ECG) waveforms is crucial for
computer-aided diagnosis of cardiac abnormalities. This study introduces
SEResUTer, an enhanced deep learning model designed for ECG delineation and�…
computer-aided diagnosis of cardiac abnormalities. This study introduces
SEResUTer, an enhanced deep learning model designed for ECG delineation and�…