Energy-Efficient FPGA Based Sleep Apnea Detection Using EEG Signals
Sleep apnea is a prevalent sleep disorder characterized by frequent interruptions in breathing during sleep, leading to decreased levels of blood oxygen. This research introduces an energy-efficient digital hardware system built on an Artix 7 FPGA, explicitly designed for real-time sleep apnea detec...
Main Authors: | Md. Shamshad Alam, Yasrub Siddiqui, Mohd Hasan, Omar Farooq, Yassine Himeur |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10460555/ |
Similar Items
-
Wireless Charging for Electric Vehicles: A Survey and Comprehensive Guide
by: Mohammad Rabih, et al.
Published: (2024-03-01) -
Optimizing Charging Efficiency and Maintaining Sensor Network Perpetually in Mobile Directional Charging
by: Xianghua Xu, et al.
Published: (2019-06-01) -
Inductive Wireless Power Transfer Charging for Electric Vehicles–A Review
by: Aganti Mahesh, et al.
Published: (2021-01-01) -
PERFORMANCE ANALYSIS ON DYNAMIC WIRELESS CHARGING FOR ELECTRIC VEHICLE USING FERRITE CORE
by: Siti Hajar Yusoff, et al.
Published: (2022-01-01) -
Electric Vehicle Wireless Charging using RFID
by: Joyce Jacob J., et al.
Published: (2023-01-01)