Performance of Spectral, Autocorrelation and Peak Count Based PR Estimation Methods Under Normal/Abnormal PPG for Wearable Devices
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9537171/9537181/09537236.pdf?arnumber=9537236
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Compressed Sensing Based SpO2 and PR Estimation for Improving Resource Utilization Efficiency of Wearables in IoMT Applications;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17
2. Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor;2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2023-06-29
3. Fast Quality-Aware AMDF Based Pulse Rate Estimation from Compressed PPG Measurements for Wearable Vital Signs Monitor;2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2023-06-29
4. Computationally-Efficient Pulse Rate Estimation From Compressed PPG Measurements for Continuous Vital Signs Monitoring;2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART);2023-06-07
5. Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices;IEEE Access;2023
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