An FCN-LSTM model for neurological status detection from non-invasive multivariate sensor data-Reference-Cited by-同舟云学术

An FCN-LSTM model for neurological status detection from non-invasive multivariate sensor data

Published:2022-04-09 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Masood Sarfaraz,Khan Rafiuddin,Abd El-Latif Ahmed A.,Ahmad Musheer

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07117-4.pdf

Reference47 articles.

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3. E4 wristband: Real-time physiological signals: wearable PPG, EDA, Temperature, Motion sensors. In: Empatica. https://www.empatica.com/research/e4/. Accessed from 14 Jun 2021

4. Continuous Assessment of Epileptic Seizures with Wrist. https://affect.media.mit.edu/pdfs/11.Poh-PhD_thesis.pdf. Accessed from 14 Jun 2021

5. (2021) Pulse Oximetry. In: Nonin. https://www.nonin.com/technologies/pulse-oximetry/. Accessed from 14 Jun 2021

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