Cite this article

Wearable PPG-Based Atrial Fibrillation Detection Using a Hybrid CNN-LSTM Model: Performance Evaluation Across Signal Quality and Noise Conditions
https://www.ijaea.com/papers?paper=Wearable+PPG-Based+Atrial+Fibrillation+Detection+Using+a+Hybrid+CNN-LSTM+Model%3A+Performance+Evaluation+Across+Signal+Quality+and+Noise+Conditions

Priyanka Joshi, Rohit Bansal, & Megha Tiwari. (2026). Wearable PPG-Based Atrial Fibrillation Detection Using a Hybrid CNN-LSTM Model: Performance Evaluation Across Signal Quality and Noise Conditions. International Journal of Advanced Engineering Application (IJAEA), 14-20.

Priyanka Joshi, et al.. "Wearable PPG-Based Atrial Fibrillation Detection Using a Hybrid CNN-LSTM Model: Performance Evaluation Across Signal Quality and Noise Conditions." International Journal of Advanced Engineering Application (IJAEA), 2026, pp. 14-20.

@article{priyankajoshi2026,
  title   = {Wearable PPG-Based Atrial Fibrillation Detection Using a Hybrid CNN-LSTM Model: Performance Evaluation Across Signal Quality and Noise Conditions},
  author  = {Priyanka Joshi and Rohit Bansal and Megha Tiwari},
  journal = {International Journal of Advanced Engineering Application (IJAEA)},
  year    = {2026},
  pages   = {14-20},
  issn    = {3048-6807 (Online)},
}

TY  - JOUR
AU  - Priyanka Joshi
AU  - Rohit Bansal
AU  - Megha Tiwari
TI  - Wearable PPG-Based Atrial Fibrillation Detection Using a Hybrid CNN-LSTM Model: Performance Evaluation Across Signal Quality and Noise Conditions
JO  - International Journal of Advanced Engineering Application (IJAEA)
PY  - 2026
SP  - 14-20
SN  - 3048-6807 (Online)
UR  - https://www.ijaea.com/papers?paper=Wearable+PPG-Based+Atrial+Fibrillation+Detection+Using+a+Hybrid+CNN-LSTM+Model%3A+Performance+Evaluation+Across+Signal+Quality+and+Noise+Conditions
ER  -