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[HTML][HTML] Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
Non-intrusive detection of household occupancy status using smart meter data presents
challenges due to the intricate relationship between user behavior, energy usage, and …
challenges due to the intricate relationship between user behavior, energy usage, and …
Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging
The Magnetohydrodynamic (MHD) effect on the bloodstream, induced by the static magnetic
field of Magnetic Resonance Imaging (MRI) devices, distorts Electrocardiogram (ECG) …
field of Magnetic Resonance Imaging (MRI) devices, distorts Electrocardiogram (ECG) …
WF-PPG: A wrist-finger dual-channel dataset for studying the impact of contact pressure on PPG morphology
Photoplethysmography (PPG) is a simple optical technique widely used in wearable devices
for continuous cardiac health monitoring. However, the quality of PPG signals, particularly …
for continuous cardiac health monitoring. However, the quality of PPG signals, particularly …
[HTML][HTML] Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering
The popularity of wearable devices that record the photoplethysmographic (PPG) signal is
increasing their use as monitors of circulatory and nervous systems function, including the …
increasing their use as monitors of circulatory and nervous systems function, including the …
A cascaded approach of group sparse mode decomposition and deep neural network for heart rate estimation using reference signal-less PPG signal
Objective Subjects with cardiovascular disease (CVD) require continuous heart rate (HR)
monitoring and must take timely treatment to prevent emergencies. The use of wearable …
monitoring and must take timely treatment to prevent emergencies. The use of wearable …
GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults
Electrical and mechanical equipment with rotating parts often face the challenge of early
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …
A Skin Tone Insensitive, Fully Integrated Smartwatch for Continuous Blood Pressure Measurement
CY Huang, YL Sung, SH Ni… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Smartwatches commonly employ photoplethysmography (PPG) sensors for pulse
measurement and health index computation, including heart rate (HR) and blood pressure …
measurement and health index computation, including heart rate (HR) and blood pressure …
Non-Intrusive Load State Monitoring Through Smart Meter Disaggregation Using 1d Deep Reconstruction Networks
S Mahmud, M Houchati, F Bensaali… - Available at SSRN … - papers.ssrn.com
Non-intrusive load monitoring (NILM), achieved through the disaggregation of smart meter
load consumption data, offers numerous applications in managing the demand side of smart …
load consumption data, offers numerous applications in managing the demand side of smart …