JOURNAL ARTICLE

Explainable fNIRS-based pain decoding under pharmacological conditions via deep transfer learning approach

Abstract

The proposed DL-based TL methodology may remove the necessity to build DL models for data collected at clinical or daily life conditions for which obtaining training data is not practical or building a new decoding model will have a computational cost. Unveiling the explanation power of different cortical regions may aid the design of more computationally efficient fNIRS-based brain-computer interface (BCI) system designs that target other application areas.

Keywords:
Analgesic Placebo Functional near-infrared spectroscopy Transfer of learning Decoding methods Artificial intelligence Drug Computer science Morphine Medicine Machine learning Anesthesia Pharmacology Cognition Prefrontal cortex Algorithm Pathology Psychiatry

Metrics

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Cited By
0.83
FWCI (Field Weighted Citation Impact)
117
Refs
0.73
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Heart Rate Variability and Autonomic Control
Health Sciences →  Medicine →  Cardiology and Cardiovascular Medicine
Optical Imaging and Spectroscopy Techniques
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Musculoskeletal pain and rehabilitation
Health Sciences →  Medicine →  Pharmacology

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