AI-Enabled Electrocardiogram Analysis for Disease Diagnosis
MMR Khan Mamun, T Elfouly - Applied System Innovation, 2023 - mdpi.com
Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis
or monitoring are based on expert knowledge and rule-centered algorithms. In recent years …
or monitoring are based on expert knowledge and rule-centered algorithms. In recent years …
Influences of intense physical effort on the activity of the autonomous nervous system and stress, as measured with photoplethysmography
I Martínez-González-Moro, I Albertus Cámara… - International Journal of …, 2022 - mdpi.com
Background: The autonomic nervous system, which is composed of the sympathetic and
parasympathetic nervous system, is closely related to the cardiovascular system. The …
parasympathetic nervous system, is closely related to the cardiovascular system. The …
Modified photoplethysmography signal processing and analysis procedure for obtaining reliable stiffness index reflecting arteriosclerosis severity
MT Wu, IF Liu, YH Tzeng, L Wang - Physiological Measurement, 2022 - iopscience.iop.org
Objective. This study aimed to describe a modified photoplethysmography (PPG) signal
processing and analysis procedure to obtain a more reliable arterial stiffness index (SI) …
processing and analysis procedure to obtain a more reliable arterial stiffness index (SI) …
A virtual reality experiment to study pedestrian perception of future street scenarios
J Argota Sánchez-Vaquerizo, CI Hausladen… - Scientific reports, 2024 - nature.com
The current allocation of street space is based on expected vehicular peak-hour flows.
Flexible and adaptive use of this space can respond to changing needs. To evaluate the …
Flexible and adaptive use of this space can respond to changing needs. To evaluate the …
Machine learning techniques for the performance enhancement of multiple classifiers in the detection of cardiovascular disease from PPG signals
S Palanisamy, H Rajaguru - Bioengineering, 2023 - mdpi.com
Photoplethysmography (PPG) signals are widely used in clinical practice as a diagnostic
tool since PPG is noninvasive and inexpensive. In this article, machine learning techniques …
tool since PPG is noninvasive and inexpensive. In this article, machine learning techniques …
[HTML][HTML] Effects of sampling frequency and interpolation preprocessing on inter-and intra-study comparability of stabilometric variables
Objective The center of pressure (CoP) is commonly assessed during static standing;
however, instrumental measurement performance critically impacts this variable. We …
however, instrumental measurement performance critically impacts this variable. We …
[PDF][PDF] 虚拟现实下视觉诱发晕动病生理评估及治疗方式研究进展
沈振乾, 孙斐, 王瑶, 王勇军 - 中国医学科学院学报, 2023 - journal13.magtechjournal.com
视觉诱发晕动病(VIMS) 是目前虚拟现实(VR) 技术发展最需解决的壁垒, 严重影响着VR
产业的发展, 因此对VIMS 的生理指标进行检测与评估已成为当下的研究热点 …
产业的发展, 因此对VIMS 的生理指标进行检测与评估已成为当下的研究热点 …
[PDF][PDF] Research Progress in Physiological Evaluation and Treatment of Visually Induced Motion Sickness in Virtual Reality
Z SHEN, F Sun, Y Wang… - Acta Academiae …, 2023 - journal13.magtechjournal.com
Visually induced motion sickness (VIMS) is the major barrier to be broken in the
development of virtual reality (VR) technology, which seriously affects the progress in the VR …
development of virtual reality (VR) technology, which seriously affects the progress in the VR …