The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
X Zhou, W Liang, I Kevin, K Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the advancement of several emerging computing paradigms and technologies, such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
Monitoring and managing potential infected patients of COVID-19 is still a great challenge for the latest technologies. In this work, IoT based wearable monitoring device is designed to …
Activity detection and classification using different sensor modalities have emerged as revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a new research topic in many academic and industrial disciplines, especially in healthcare …
M Cornacchia, K Ozcan, Y Zheng… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Activity detection and classification are very important for autonomous monitoring of humans for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
L Babangida, T Perumal, N Mustapha… - IEEE sensors …, 2022 - ieeexplore.ieee.org
A smart home, which is an extension of a traditional home, is equipped with ubiquitous sensors embedded in consumer appliances, connected via sensing technologies such as …
M Zhang, AA Sawchuk - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
Many ubiquitous computing applications involve human activity recognition based on wearable sensors. Although this problem has been studied for a decade, there are a limited …
J Qi, P Yang, A Waraich, Z Deng, Y Zhao… - Journal of biomedical …, 2018 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …