8 citations · 13 across the 19 of their papers we have counts for
6 papers · 1 filter
Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things
Berken Utku Demirel, Islam Abdelsalam Bayoumy, Mohammad Abdullah Al Faruque
The recent developments in wearable devices and the Internet of Medical Things (IoMT) allow real-time monitoring and recording of electrocardiogram (ECG) signals. However, continuo…
Future of Smart Classroom in the Era of Wearable Neurotechnology
Mojtaba Taherisadr, Berken Utku Demirel, Mohammad Abdullah Al Faruque +1
Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability…
Energy-efficient Blood Pressure Monitoring based on Single-site Photoplethysmogram on Wearable Devices
Wenrui Lin, Berken Utku Demirel, Mohammad Abdullah Al Faruque +1
The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wea…
Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices
Berken Utku Demirel, Ivan Skelin, Haoxin Zhang +2
This paper proposes a novel lightweight method using the multitaper power spectrum to estimate arousal levels at wearable devices. We show that the spectral slope (1/f) of the elec…
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies
Mohanad Odema, Nafiul Rashid, Berken Utku Demirel +1
Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs) endure the dilemma of workload distribution within them. Previous solutions proposed to d…
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
Human Activity Recognition (HAR) is one of the key applications of health monitoring that requires continuous use of wearable devices to track daily activities. This paper proposes…