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�…
monitoring of a wide variety of biophysical and physiological signals that are closely related�…
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�…
surveillance and diagnosis systems for patients with critical conditions, particularly those�…
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�…
QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease�…
Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
K Qin, W Huang, T Zhang, S Tang�- Artificial Intelligence Review, 2023 - Springer
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�…
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP�…
[HTML][HTML] 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�…
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR�…
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�…
diseases, such as schizophrenia and autism and the most typical techniques are speech�…
[HTML][HTML] Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network
SMI Niroshana, S Kuroda, K Tanaka, W Chen�- Scientific Reports, 2023 - nature.com
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�…
play a crucial role in many healthcare applications, such as patient monitoring and post�…
Speckle-based structured light shift-keying for non-line-of-sight optical communication
PS Badavath, V Raskatla, TP Chakravarthy…�- Applied Optics, 2023 - opg.optica.org
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�…
(NLOS) free space optical (FSO) communication channels employing structured light shift�…
[HTML][HTML] Stiffness pulsation of the human brain detected by non-invasive time-harmonic elastography
T Meyer, B Kreft, J Bergs, E Antes…�- …�in Bioengineering and�…, 2023 - frontiersin.org
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�…
arterial pressure in response to cardiac pulsation cause cerebral pulsation, which is related�…
SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection
X Li, W Cai, B Xu, Y Jiang, M Qi…�- Physiological�…, 2023 - iopscience.iop.org
Objective. Accurate detection of electrocardiogram (ECG) waveforms is crucial for computer-
aided diagnosis of cardiac abnormalities. This study introduces SEResUTer, an enhanced�…
aided diagnosis of cardiac abnormalities. This study introduces SEResUTer, an enhanced�…