An overview of the sensors for heart rate monitoring used in extramural applications
This work presents an overview of the main strategies that have been proposed for non-
invasive monitoring of heart rate (HR) in extramural and home settings. We discuss three …
invasive monitoring of heart rate (HR) in extramural and home settings. We discuss three …
ECG classification algorithm based on STDP and R-STDP neural networks for real-time monitoring on ultra low-power personal wearable devices
A Amirshahi, M Hashemi - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
This paper presents a novel ECG classification algorithm for inclusion as part of real-time
cardiac monitoring systems in ultra low-power wearable devices. The proposed solution is …
cardiac monitoring systems in ultra low-power wearable devices. The proposed solution is …
Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
Background The human activity monitoring technology is one of the most important
technologies for ambient assisted living, surveillance-based security, sport and fitness …
technologies for ambient assisted living, surveillance-based security, sport and fitness …
Detection of obstructive sleep apnoea by ecg signals using deep learning architectures
Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep and
general anaesthesia. This disorder can affect human life considerably. Early detection of …
general anaesthesia. This disorder can affect human life considerably. Early detection of …
Srecg: Ecg signal super-resolution framework for portable/wearable devices in cardiac arrhythmias classification
A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W)
devices has been developed as a smart heath care system to support automatic cardiac …
devices has been developed as a smart heath care system to support automatic cardiac …
Development of Consumer-Friendly surface electromyography system for muscle fatigue detection
R Kinugasa, S Kubo - Ieee Access, 2023 - ieeexplore.ieee.org
In this study, a low-cost, wireless, and smartphone-controlled surface electromyography
(EMG) system was designed and developed for consumers, and the recorded EMG signals …
(EMG) system was designed and developed for consumers, and the recorded EMG signals …
Human activity recognition using accelerometer and photoplethysmographic signals
This paper presents an efficient technique for real-time recognition of human activities by
using accelerometer and photoplethysmography (PPG) data. It is based on singular value …
using accelerometer and photoplethysmography (PPG) data. It is based on singular value …
Energy and performance analysis of lossless compression algorithms for wireless EMG sensors
Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate
a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a …
a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a …
A multi-channel electromyography, electrocardiography and inertial wireless sensor module using Bluetooth low-energy
This paper proposes a wireless sensor device for the real-time acquisition of bioelectrical
signals such as electromyography (EMG) and electrocardiography (ECG), coupled with an …
signals such as electromyography (EMG) and electrocardiography (ECG), coupled with an …
A comparative study of machine learning algorithms for physiological signal classification
The present work aims at the evaluation of the effectiveness of different machine learning
algorithms on a variety of clinical data, derived from small, medium, and large publicly …
algorithms on a variety of clinical data, derived from small, medium, and large publicly …