no code implementations • 11 Apr 2020 • Sricharan Vijayarangan, Balamurali Murugesan, Vignesh R, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
However, these traditional methods require expert knowledge and are unable to model a wide range of arrhythmia.
no code implementations • 14 Apr 2020 • Sricharan Vijayarangan, Prithvi Suresh, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
Recently, a Machine Learning (ML) method was used to model reflectance waveforms onto SpO$_2$ obtained from transmittance waveforms.
1 code implementation • 17 Apr 2020 • Sricharan Vijayarangan, Vignesh R, Balamurali Murugesan, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
Furthermore, the model was also evaluated on three other databases.
1 code implementation • 13 Dec 2021 • Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam
The multitasking network consists of a combination of Encoder-Decoder and Encoder-IncResNet, to fetch the average respiration rate and the respiration signal.
1 code implementation • 14 Dec 2021 • Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam
This demonstrates the viability of KD for performance improvement of single-channel ECG based sleep staging in 4-class(W-L-D-R) and 3-class(W-N-R) classification.
1 code implementation • IEEE 2022 • Vaibhav Joshi, Sricharan V, Preejith SP, Mohanasankar Sivaprakasam
In order to take advantage of both the modalities, transferring knowledge from EEG to ECG is a reasonable approach, ultimately boosting the performance of ECG based sleep staging.