A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM
E Dasan, I Panneerselvam - Biomedical Signal Processing and Control, 2021 - Elsevier
Typical IoT based e-health scenarios use resource constrained wearable device to facilitate
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
Energy-efficient intelligent ECG monitoring for wearable devices
N Wang, J Zhou, G Dai, J Huang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real
time and send out alert signal together with abnormal ECG signal for doctor's further …
time and send out alert signal together with abnormal ECG signal for doctor's further …
A parametric lossy compression techniques for biosignals: A review
E Dasan, R Gnanaraj - Wireless Personal Communications, 2023 - Springer
Rapid growth in wireless communication and sensor based technology has contributed to
the integration of wearable device with internet technology which supports wireless body …
the integration of wearable device with internet technology which supports wireless body …
IoT based heart activity monitoring using inductive sensors
This paper presents a system dedicated to monitoring the heart activity parameters using
Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive …
Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive …
A noble double-dictionary-based ECG compression technique for IoTH
The Internet-of-Things (IoT) healthcare system monitors a patients' condition and takes
preventive measures in case of an emergency. The electrocardiogram (ECG) that measures …
preventive measures in case of an emergency. The electrocardiogram (ECG) that measures …
Optimizing the detection of characteristic waves in ECG based on processing methods combinations
Accurate detection of characteristic electrocardiogram (ECG) waves is necessary for ECG
analysis and interpretation. In this paper, we distinguish four processing steps of detection …
analysis and interpretation. In this paper, we distinguish four processing steps of detection …
Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach
E Dasan, R Gnanaraj - Circuits, Systems, and Signal Processing, 2022 - Springer
Through wearable technology, several chronic diseases are diagnosed by long-term
monitoring of vital signs specifically ECG, EMG, EEG biosignals. Such prolonged monitoring …
monitoring of vital signs specifically ECG, EMG, EEG biosignals. Such prolonged monitoring …
A novel R peak detection method for mobile environments
With the development of the portable electrocardiogram (ECG) sensor, R peaks can be
monitored during various physical activities in mobile environment. However, such ECG …
monitored during various physical activities in mobile environment. However, such ECG …
Integration of machine learning with wearable technologies
D Nahavandi, R Alizadehsani… - Handbook of Human …, 2023 - Wiley Online Library
Wearable devices are changing our lives faster than expected. From healthcare services to
industrial applications, wearable technologies are taking over. The main idea behind …
industrial applications, wearable technologies are taking over. The main idea behind …
A silent password recognition framework based on lip analysis
M Ezz, AM Mostafa, AA Nasr - IEEE Access, 2020 - ieeexplore.ieee.org
Securing passwords either written or spoken is considered one of the challenging
authentication issues faced by individuals and organizations. Written passwords could be …
authentication issues faced by individuals and organizations. Written passwords could be …