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) …

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 …

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 …

IoT based heart activity monitoring using inductive sensors

A Brezulianu, O Geman, MD Zbancioc, M Hagan… - Sensors, 2019 - mdpi.com
This paper presents a system dedicated to monitoring the heart activity parameters using
Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive …

A noble double-dictionary-based ECG compression technique for IoTH

J Qian, P Tiwari, SP Gochhayat… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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 …

Optimizing the detection of characteristic waves in ECG based on processing methods combinations

K Friganovic, D Kukolja, A Jovic, M Cifrek… - IEEE …, 2018 - ieeexplore.ieee.org
Accurate detection of characteristic electrocardiogram (ECG) waves is necessary for ECG
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 …

A novel R peak detection method for mobile environments

M Lee, D Park, SY Dong, I Youn - IEEE Access, 2018 - ieeexplore.ieee.org
With the development of the portable electrocardiogram (ECG) sensor, R peaks can be
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 …

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 …