Monitoring and analysis of cardiovascular pulse waveforms using flexible capacitive and piezoresistive pressure sensors and machine learning perspective

AH Chowdhury, B Jafarizadeh, AR Baboukani… - Biosensors and …, 2023 - Elsevier
The growing interest in flexible electronics for physiological monitoring, particularly using
flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Artificial intelligence in pregnancy: A scoping review

AM Oprescu, G Miro-Amarante, L García-Díaz… - IEEE …, 2020 - ieeexplore.ieee.org
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

[HTML][HTML] Artificial intelligence meets traditional Chinese medicine: a bridge to opening the magic box of sphygmopalpation for pulse pattern recognition

LYL Alice, G Binghe, C Shuang, C Hoyin, K Kawai… - Digital Chinese …, 2021 - Elsevier
Artificial intelligence (AI) aims to mimic human cognitive functions and execute intellectual
activities like that performed by humans dealing with an uncertain environment. The rapid …

[HTML][HTML] Machine learning-based evaluation of application value of traditional Chinese medicine clinical index and pulse wave parameters in the diagnosis of …

J Lim, J Li, X Feng, L Feng, X Xiao, Y Xia… - European Journal of …, 2023 - Elsevier
Introduction Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women
that often leads to ovulatory infertility. This study aims to establish and validate an effective …

PSC-Net: Integration of Convolutional Neural Networks and Transformers for Physiological Signal Classification

Q Liu, Y Feng, H Xu, J Li, Z Lin, S Li, S Qiu, X Wu… - … Signal Processing and …, 2024 - Elsevier
Objective: Physiological signals, such as electrocardiogram (ECG) and wrist pulse signals
(WPS), play an important role in diagnosing and preventing cardiovascular and other …

Perceptions of traditional Chinese medicine doctors about using wearable devices and traditional Chinese medicine diagnostic instruments: a mixed-methodology …

S Zhou, K Li, A Ogihara, X Wang - Digital Health, 2022 - journals.sagepub.com
Objective This study aimed to investigate the perceptions of traditional Chinese medicine
doctors about wearable devices and diagnostic instruments and explore the factors that …

Prediction of H-type hypertension based on pulse-taking and inquiry diagnosis

J Yang, L Chen, S Cai, T Xie, H Yan - Biomedical Signal Processing and …, 2022 - Elsevier
H-type hypertension increases the morbidity of stroke and cardiovascular diseases, posing a
great threat to human health. The existing diagnosis of H-type hypertension detects patients' …

Flexible piezoelectric sensor for pregnant recognition based on the pulse‐taking procedure in traditional Chinese medicine

X Song, B Li, P Wang, Y Zhou, J Wang… - Engineering …, 2023 - Wiley Online Library
Traditional Chinese medicine (TCM) is an experienced‐based discipline and plays an
important role in the current medical system. Digitalizing key features is the best way to con …

A spider tool-based qualitative analysis of machine learning for wrist pulse analysis

S Kumar, K Veer, S Kumar - … Modeling Analysis in Health Informatics and …, 2022 - Springer
Ayurveda and traditional Chinese medicine (TCM) have used wrist pulse analysis for
centuries. It is a non-invasive, novel, convenient, and highly successful disease diagnosis …