원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 7th International Conference on Next Generation Computing 2021
2021.11
pp.380-382
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper presents a new method applied to photoplethysmography (PPG) signal with compression technique that is effectively applied to wearable devices. This data compression technique is especially effective for applications mainly focused on the user's heart rate. We applied this compression technique to PPG signals with sampling frequencies of 125 Hz (BIDMC Physionet). This method has the highest compression ratio (CR) as 77.8. Besides, the new method applies effectively to heart rate estimation without requiring complicated calculations. The proposed method can be applied to real-time system with PPG signal measurement with low-speed microcontroller unit (MCU).
목차
Abstract
I. INTRODUCTION
II. METHOD
A. PPG waveform
B. Proposed compression method
III. TESTING AND RESULTS
A. Evaluate the compression method with Physionet Database
B. Evaluate the performance of signal compression with a real-time system
IV. CONCLUSIONS
REFERENCES
I. INTRODUCTION
II. METHOD
A. PPG waveform
B. Proposed compression method
III. TESTING AND RESULTS
A. Evaluate the compression method with Physionet Database
B. Evaluate the performance of signal compression with a real-time system
IV. CONCLUSIONS
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보