Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG signals.

Michelle  Soto-Florido; Elkin Garcia-Cifuentes; Angela Maria Iragorri Cucalon; Iván Fernando Mondragón Bernal; Diego Mendez Chaves; Julian  Colorado; Catalina Alvarado Rojas

Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG signals.

Universidad Javeriana
School of Medicine

Research output: Contribution to conference › Poster › peer-review

Abstract

Stroke is the leading cause of disability worldwide, with approximately 85% of patients experiencing impairment in the upper limb (from shoulder to finger functionality). Because of the high complexity of its movements, and the importance for the activities of daily life, the rehabilitation of the hand, remains a challenge. We propose a method to identify individual hand movements from electroencephalographic (EEG) and electromyographic (EMG) signals, offering a possibility to monitor brain networks associated to motor control that could be used for neuroprosthetics purposes and post-stroke rehabilitation.

Original language	English
State	Published - 16 May 2025
Event	Rebah week 2025 - Chicago, United States Duration: 12 May 2025 → 16 May 2025 https://rehabweek.org/

Conference

Conference	Rebah week 2025
Country/Territory	United States
City	Chicago
Period	12/05/25 → 16/05/25
Internet address	https://rehabweek.org/

Cite this

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title = "Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG signals.",

abstract = "Stroke is the leading cause of disability worldwide, with approximately 85\% of patients experiencing impairment in the upper limb (from shoulder to finger functionality). Because of the high complexity of its movements, and the importance for the activities of daily life, the rehabilitation of the hand, remains a challenge. We propose a method to identify individual hand movements from electroencephalographic (EEG) and electromyographic (EMG) signals, offering a possibility to monitor brain networks associated to motor control that could be used for neuroprosthetics purposes and post-stroke rehabilitation.",

author = "Michelle Soto-Florido and Elkin Garcia-Cifuentes and \{Iragorri Cucalon\}, \{Angela Maria\} and \{Mondrag{\'o}n Bernal\}, \{Iv{\'a}n Fernando\} and \{Mendez Chaves\}, Diego and Julian Colorado and \{Alvarado Rojas\}, Catalina",

year = "2025",

month = may,

day = "16",

language = "English",

note = "Rebah week 2025 ; Conference date: 12-05-2025 Through 16-05-2025",

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TY - CONF

T1 - Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG signals.

AU - Soto-Florido, Michelle

AU - Garcia-Cifuentes, Elkin

AU - Iragorri Cucalon, Angela Maria

AU - Mondragón Bernal, Iván Fernando

AU - Mendez Chaves, Diego

AU - Colorado, Julian

AU - Alvarado Rojas, Catalina

PY - 2025/5/16

Y1 - 2025/5/16

N2 - Stroke is the leading cause of disability worldwide, with approximately 85% of patients experiencing impairment in the upper limb (from shoulder to finger functionality). Because of the high complexity of its movements, and the importance for the activities of daily life, the rehabilitation of the hand, remains a challenge. We propose a method to identify individual hand movements from electroencephalographic (EEG) and electromyographic (EMG) signals, offering a possibility to monitor brain networks associated to motor control that could be used for neuroprosthetics purposes and post-stroke rehabilitation.

AB - Stroke is the leading cause of disability worldwide, with approximately 85% of patients experiencing impairment in the upper limb (from shoulder to finger functionality). Because of the high complexity of its movements, and the importance for the activities of daily life, the rehabilitation of the hand, remains a challenge. We propose a method to identify individual hand movements from electroencephalographic (EEG) and electromyographic (EMG) signals, offering a possibility to monitor brain networks associated to motor control that could be used for neuroprosthetics purposes and post-stroke rehabilitation.

UR - https://rehabweek.org/wp-content/uploads/PP-412.pdf

M3 - Poster

T2 - Rebah week 2025

Y2 - 12 May 2025 through 16 May 2025

ER -

Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG signals.

Abstract

Conference

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Identification of Neuromotor Patterns Associated with Hand Rehabilitation Movements from EMG and EEG Signals

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