Healthcare techniques through deep learning: issues, challenges and opportunities
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …
mechanism of the human brain in data processing, and it also creates patterns for decision …
Developments in the human machine interface technologies and their applications: a review
HP Singh, P Kumar - Journal of medical engineering & technology, 2021 - Taylor & Francis
Human-machine interface (HMI) techniques use bioelectrical signals to gain real-time
synchronised communication between the human body and machine functioning. HMI …
synchronised communication between the human body and machine functioning. HMI …
ECG signal preprocessing and SVM classifier-based abnormality detection in remote healthcare applications
Medical expert systems are part of the portable and smart healthcare monitoring devices
used in day-to-day life. Arrhythmic beat classification is mainly used in electrocardiogram …
used in day-to-day life. Arrhythmic beat classification is mainly used in electrocardiogram …
Classification of ECG arrhythmia using recurrent neural networks
Abstract In this paper, Recurrent Neural Networks (RNN) have been applied for classifying
the normal and abnormal beats in an ECG. The primary aim of this paper was to enable …
the normal and abnormal beats in an ECG. The primary aim of this paper was to enable …
Orbit symmetry breaking in MXene implements enhanced soft bioelectronic implants
Bioelectronic implants featuring soft mechanics, excellent biocompatibility, and outstanding
electrical performance hold promising potential to revolutionize implantable technology …
electrical performance hold promising potential to revolutionize implantable technology …
ECG identification for personal authentication using LSTM-based deep recurrent neural networks
BH Kim, JY Pyun - Sensors, 2020 - mdpi.com
Securing personal authentication is an important study in the field of security. Particularly,
fingerprinting and face recognition have been used for personal authentication. However …
fingerprinting and face recognition have been used for personal authentication. However …
A global and updatable ECG beat classification system based on recurrent neural networks and active learning
The key challenges faced in the automatic diagnosis of arrhythmia by electrocardiogram
(ECG) is enormous differences among individual patients and high cost of labeling clinical …
(ECG) is enormous differences among individual patients and high cost of labeling clinical …
The insular cortex and the regulation of cardiac function
S Oppenheimer, D Cechetto - Comprehensive Physiology, 2011 - Wiley Online Library
Cortical representation of the heart challenges the orthodox view that cardiac regulation is
confined to stereotyped, preprogrammed and rigid responses to exteroceptive or …
confined to stereotyped, preprogrammed and rigid responses to exteroceptive or …
The optimal selection of mother wavelet function and decomposition level for denoising of DCG signal
The aim of this paper is to find the optimal mother wavelet function and wavelet
decomposition level when denoising the Doppler cardiogram (DCG), the heart signal …
decomposition level when denoising the Doppler cardiogram (DCG), the heart signal …
Capturing emotion reactivity through physiology measurement as a foundation for affective engineering in engineering design science and engineering practices
This paper presents the theoretical and practical fundamentals of using physiology sensors
to capture human emotion reactivity in a products or systems engineering context. We aim to …
to capture human emotion reactivity in a products or systems engineering context. We aim to …