Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia-Reference-Cited by-同舟云学术

Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia

Published:2021-09 Issue: Volume:73 Page:125-143
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Bahador Nooshin,Jokelainen Jarno,Mustola Seppo,Kortelainen Jukka

Funder

Academy of Finland

Orionin Tutkimussäätiö

Walter Ahlströmin Säätiö

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference71 articles.

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4. Fusion of motif- and spectrum-related features for improved EEG-based emotion recognition;Tiwari;Comput. Intell. Neurosci.,2019

5. Advances in anesthesia technology are improving patient care, but many challenges remain;Doyle;BMC Anesthesiol.,2018

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