An arrhythmia classification algorithm using C-LSTM in physiological parameters monitoring system under internet of health things environment
W Lu, J Jiang, L Ma, H Chen, H Wu, M Gong… - Journal of Ambient …, 2021 - Springer
In order to solve the problem that the traditional convolution neural network-based
arrhythmia classification model does not extract the time series feature deeply, and ECG is a …
arrhythmia classification model does not extract the time series feature deeply, and ECG is a …
Development and Optimization of Silicon− Dioxide− Coated Capacitive Electrode for Ambulatory ECG Measurement System
Y Kang, S Choi, C Koo, Y Joung - Sensors, 2022 - mdpi.com
This paper presents a silicon− dioxide− coated capacitive electrode system for an
ambulatory electrocardiogram (ECG). The electrode was coated with a nano− leveled (287 …
ambulatory electrocardiogram (ECG). The electrode was coated with a nano− leveled (287 …
Remotely powered two-wire cooperative sensors for biopotential imaging wearables
O Chételat, M Rapin, B Bonnal, A Fivaz, J Wacker… - Sensors, 2022 - mdpi.com
Biopotential imaging (eg, ECGi, EEGi, EMGi) processes multiple potential signals, each
requiring an electrode applied to the body's skin. Conventional approaches based on …
requiring an electrode applied to the body's skin. Conventional approaches based on …
[PDF][PDF] A Wearable Sensor Architecture for High-Quality Measurement of Multilead ECG and Frequency-Multiplexed EIT
M Rapin - 2018 - research-collection.ethz.ch
Recently, telemonitoring of vital signs has gained a lot of research interest. Patients suffering
from chronic diseases, such as congestive heart failure (CHF), chronic obstructive …
from chronic diseases, such as congestive heart failure (CHF), chronic obstructive …