NIRS Data Augmentation Technique to Detect Hemodynamic Peaks During Self-Paced Motor Imagery-Reference-Cited by-同舟云学术

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NIRS Data Augmentation Technique to Detect Hemodynamic Peaks During Self-Paced Motor Imagery

Published:2023 Issue: Volume:11 Page:37313-37323
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Phillips Ⅴ Zephaniah¹^ORCID,Paik Seung-Ho¹^ORCID,Lee Seung-Hyun²^ORCID,Choi Eun-Jeong³^ORCID,Kim Beop-Min³^ORCID

Affiliation:

1. Global Health Technology Research Center, College of Health Science, Korea University, Seoul, Republic of Korea

2. Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea

3. Department of Biomedical Engineering, Korea University, Seoul, Republic of Korea

Funder

Korea Health Technology Research and Development Project Grant through the Korea Health Industry Development Institute

Ministry of Health andWelfare, Republic of Korea

Korea Medical Device Development Fund

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10089413.pdf?arnumber=10089413

Reference48 articles.

1. Data augmentation for self-paced motor imagery classification with C-LSTM

2. Imagery of Voluntary Movement of Fingers, Toes, and Tongue Activates Corresponding Body-Part-Specific Motor Representations

3. Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules

4. Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head

5. A new approach to estimating the evoked hemodynamic response applied to dual channel functional near infrared spectroscopy

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