Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation

2018 ◽  
Vol 22 (2) ◽  
pp. 450-459 ◽  
Author(s):  
Sayeed Shafayet Chowdhury ◽  
Rakib Hyder ◽  
Md. Samzid Bin Hafiz ◽  
Mohammad Ariful Haque
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 88689-88699
Author(s):  
Yipeng Ding ◽  
Xiali Yu ◽  
Chengxi Lei ◽  
Yinhua Sun ◽  
Xuemei Xu ◽  
...  

2002 ◽  
Vol 02 (02) ◽  
pp. L71-L78
Author(s):  
S. SELVAN

The electrogastrogram measured cutaneously by attaching electrodes to the abdominal skin contains considerable noise. An attempt is made to develop an efficient adaptive filtering technique suitable for real time processing of electrogastrogram. A novel technique combining both adaptive noise cancellation and adaptive signal enhancement in a single recurrent neural network is proposed. To compare its performance, adaptive noise cancellation and cascaded connection of adaptive noise cancellation and adaptive signal enhancement are employed. Recurrent neural networks using Real Time Recurrent Learning (RTRL) algorithm are employed for implementing the all the above systems. An attempt is made to alleviate the computational burden imposed by RTRL algorithm by employing pruning of weights.


2019 ◽  
Vol 21 (7) ◽  
pp. 1778-1787 ◽  
Author(s):  
Ying Qiu ◽  
Yang Liu ◽  
Juan Arteaga-Falconi ◽  
Haiwei Dong ◽  
Abdulmotaleb El Saddik

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