A high accuracy & ultra-low power ecg-derived respiration estimation processor for wearable respiration monitoring sensor “2279

HIGHLIGHTS

  • who: Jiajing Fan and colleagues from the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China have published the paper: A High Accuracy & Ultra-Low Power ECG-Derived Respiration Estimation Processor for Wearable Respiration Monitoring Sensor "2279, in the Journal: Biosensors 2022, 665 of /2022/
  • what: One of the main reasons is that the conventional methods used to monitor the respiration rate, such as impedance plethysmography, capnography, and flow thermography, all rely on invasive and expensive equipment, making it uncomfortable and costly for patients to use . To address . . .

     

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