1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.SP2024★ 1 cited
A Review on Multisensor Data Fusion for Wearable Health Monitoring
Arlene John, Barry Cardiff, Deepu John
The growing demand for accurate, continuous, and non-invasive health monitoring has propelled multi-sensor data fusion to the forefront of healthcare technology. This review aims t…
cs.LG2021
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…
eess.SP2020
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…