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Sangwon Byun

Showing results (1-10 of 46) with videos related to

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Sensors (Basel, Switzerland)|January 11, 2022
Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural NetworksKyung Hyun Lee, Ji Young Min, Sangwon Byun
Biophysical Journal|October 22, 2015
Characterizing Cellular Biophysical Responses to Stress by Relating Density, Deformability, and SizeSangwon Byun, Vivian C Hecht, Scott R Manalis
Scientific Reports|July 29, 2025
Classifying social and physical pain from multimodal physiological signals using machine learningEun-Hye Jang, Young-Ji Eum, Daesub Yoon, et al.
Advances in Cognitive Psychology|January 7, 2021
Predicting Individuals' Experienced Fear From Multimodal Physiological Responses to a Fear-Inducing StimulusEun-Hye Jang, Sangwon Byun, Mi-Sook Park, et al.
Journal of Physiological Anthropology|November 30, 2019
Reliability of Physiological Responses Induced by Basic Emotions: A Pilot StudyEun-Hye Jang, Sangwon Byun, Mi-Sook Park, et al.
Journal of Biochemistry and Molecular Biology|June 8, 2006
A simple and economical short-oligonucleotide-based approach to shRNA generationJinsu Kim, Hyukmin Kim, Yoonsoo Lee, et al.
Scientific Reports|May 19, 2026
Screening for depression risk via smartphone narratives with fully fine-tuned WavLMAh Young Kim, Mingyu Jeon, Chul-Hyun Cho, et al.
Frontiers in Public Health|April 19, 2024
Comparing multimodal physiological responses to social and physical pain in healthy participantsEun-Hye Jang, Young-Ji Eum, Daesub Yoon, et al.
Frontiers in Psychiatry|October 13, 2025
Deep learning-based stress detection from RR intervals in major depressive disorder, panic disorder, and healthy individualsKyung Hyun Lee, Chul-Hyun Cho, Ah Young Kim, et al.
Frontiers in Psychiatry|January 24, 2025
Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variabilitySangwon Byun, Ah Young Kim, Min-Sup Shin, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Sensors (Basel, Switzerland)|January 11, 2022
Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural NetworksKyung Hyun Lee, Ji Young Min, Sangwon Byun
Biophysical Journal|October 22, 2015
Characterizing Cellular Biophysical Responses to Stress by Relating Density, Deformability, and SizeSangwon Byun, Vivian C Hecht, Scott R Manalis
Scientific Reports|July 29, 2025
Classifying social and physical pain from multimodal physiological signals using machine learningEun-Hye Jang, Young-Ji Eum, Daesub Yoon, et al.
Advances in Cognitive Psychology|January 7, 2021
Predicting Individuals' Experienced Fear From Multimodal Physiological Responses to a Fear-Inducing StimulusEun-Hye Jang, Sangwon Byun, Mi-Sook Park, et al.
Journal of Physiological Anthropology|November 30, 2019
Reliability of Physiological Responses Induced by Basic Emotions: A Pilot StudyEun-Hye Jang, Sangwon Byun, Mi-Sook Park, et al.
Journal of Biochemistry and Molecular Biology|June 8, 2006
A simple and economical short-oligonucleotide-based approach to shRNA generationJinsu Kim, Hyukmin Kim, Yoonsoo Lee, et al.
Scientific Reports|May 19, 2026
Screening for depression risk via smartphone narratives with fully fine-tuned WavLMAh Young Kim, Mingyu Jeon, Chul-Hyun Cho, et al.
Frontiers in Public Health|April 19, 2024
Comparing multimodal physiological responses to social and physical pain in healthy participantsEun-Hye Jang, Young-Ji Eum, Daesub Yoon, et al.
Frontiers in Psychiatry|October 13, 2025
Deep learning-based stress detection from RR intervals in major depressive disorder, panic disorder, and healthy individualsKyung Hyun Lee, Chul-Hyun Cho, Ah Young Kim, et al.
Frontiers in Psychiatry|January 24, 2025
Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variabilitySangwon Byun, Ah Young Kim, Min-Sup Shin, et al.
Pageof 5