8 citations · 14 across the 7 of their papers we have counts for
12 papers
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices
Xiaolin Li, Rajesh Panicker, Barry Cardiff +1
Using smart wearable devices to monitor patients electrocardiogram (ECG) for real-time detection of arrhythmias can significantly improve healthcare outcomes. Convolutional neural…
Continuous User Authentication using IoT Wearable Sensors
Conor Smyth, Guoxin Wang, Rajesh Panicker +3
Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this d…
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors
Arlene John, Barry Cardiff, Deepu John
Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypop…
A Generalized Signal Quality Estimation Method for IoT Sensors
Arlene John, Barry Cardiff, Deepu John
IoT wearable devices are widely expected to reduce the cost and risk of personal healthcare. However, ambulatory data collected from such devices are often corrupted or contaminate…
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya +1
Non-orthogonal multiple access (NOMA) has drawn tremendous attention, being a potential candidate for the spectrum access technology for the fifth-generation (5G) and beyond 5G (B5…
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
Non-orthogonal multiple access (NOMA) and spectrum sharing (SS) are two emerging multiple access technologies for efficient spectrum utilization in future wireless communications s…