11 papers
Analysis of Autonomic Regulation in Cancer Survivors During Daily Physical Activity: A Real-World Wearable ECG Study
Sajad Farrokhi, Lerick Sequeira, Shanna L. Burke +2
This study investigates heart rate (HR) and heart rate variability (HRV) responses to physical activity in breast cancer survivors using wearable electrocardiogram (ECG) data colle…
Statistical Analysis of the Reliability of Data Collected with Wireless Electrocardiograms Outside Clinical Settings
Yalemzerf Getnet, Waltenegus Dargie
Cost-effective wireless electrocardiograms (ECGs) enable long-term and scalable monitoring of cardiac patients in their home and work environments. Because they offer greater freed…
Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
Yalemzerf Getnet, Abiy Tasissa, Waltenegus Dargie
Assigning relevance scores to the input features of a machine learning model enables to measure the contributions of the features in achieving a correct outcome. It is regarded as…
A lightweight Outlier Detection for Characterizing Radio- and Environment-Specific Link Quality Fluctuation in Low-Power Wireless Networks
Zegeye Mekasha Kidane, Waltenegus Dargie
The performance of low-power wireless sensing networks can be influenced by both external environmental factors and internal imperfections which often arise due to manufacturing to…
Human Activity Recognition Based on Electrocardiogram Data Only
Sina Montazeri, Waltenegus Dargie, Yunhe Feng +1
Human activity recognition is critical for applications such as early intervention and health analytics. Traditional activity recognition relies on inertial measurement units (IMUs…
Detection of Intelligent Tampering in Wireless Electrocardiogram Signals Using Hybrid Machine Learning
Siddhant Deshpande, Yalemzerf Getnet, Waltenegus Dargie
With the proliferation of wireless electrocardiogram (ECG) systems for health monitoring and authentication, protecting signal integrity against tampering is becoming increasingly…
Robust Node Localization for Rough and Extreme Deployment Environments
Abiy Tasissa, Waltenegus Dargie
Many applications have been identified which require the deployment of large-scale low-power wireless sensor networks. Some of the deployment environments, however, impose harsh op…
Prediction of the Received Power of Low-Power Networks Using Inertial Sensors
Waltenegus Dargie, Christian Poellabauer, Abiy Tasissa
Low-power and cost-effective IoT sensing nodes enable scalable monitoring of different environments. Some of these environments impose rough and extreme operating conditions, requi…
Impact of Cross Technology Interference on Time Synchronization and Join Time in Low-Power Wireless Networks
Zegeye Mekasha Kidane, Waltenegus Dargie
Low-power and low-cost wireless sensor networks enable scalable and affordable sensing and can be deployed in different environments to monitor various physical parameters. In some…
Prediction of Received Power in Low-Power and Lossy Networks Deployed in Rough Environments
Waltenegus Dargie
Cost-efficient and low-power sensing nodes enable to monitor various physical environments. Some of these impose extreme operating conditions, subjecting the nodes to excessive hea…
Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands
Zegeye Mekasha Kidane, Waltenegus Dargie
A large number of heterogeneous wireless networks share the unlicensed spectrum designated as the ISM (Industry, Scientific, and Medicine) radio band. These networks do not adhere…