Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation

Mitsuru Takahashi, Kotaro Takeda, Yohei Otaka, Rieko Osu, Takashi Hanakawa, Manabu Gouko, Koji Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Strokes are a leading cause of adult disability that often induces motor functional deficits. Synchronous activation of neurons along motor and sensory pathway is thought to facilitate synaptic reconnection. We developed an electroencephalogram (EEG)-based brain computer interface (BCI) system to control the magnitude of functional electrical stimulation (FES) for an affected tibialis anterior muscle of a stroke patient. The proposed EEG-FES system used event related desynchronization (ERD) of motor intention, which is extracted from an EEG electrode located on the lower limb region of primary motor area. In this paper, we will report the training effect of the EEG-FES system on the motor function of affected lower limb of a severely impaired patient. After 20 minutes training, the range of motion of an ankle joint and the electromyography (EMG) amplitude of the tibialis anterior muscle of a patient's paralyzed lower limb were significantly enlarged. The results suggest that the EEG-FES system has the potential to improve the motor function of severely paralyzed muscles.

Original languageEnglish
Title of host publication4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010
Pages47-51
Number of pages5
Publication statusPublished - 01-12-2010
Externally publishedYes
Event4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010 - Prague, Czech Republic
Duration: 14-06-201016-06-2010

Other

Other4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010
CountryCzech Republic
CityPrague
Period14-06-1016-06-10

Fingerprint

Rehabilitation
Electroencephalography
Stroke
Patient rehabilitation
Muscle
Desynchronization
Electromyography
Brain computer interface
Bioelectric potentials
Disability
Neurons
Electrode
Electroencephalogram
Activation
Neuron
Pathway
Chemical activation
Electrodes
Motion
Range of data

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation

Cite this

Takahashi, M., Takeda, K., Otaka, Y., Osu, R., Hanakawa, T., Gouko, M., & Ito, K. (2010). Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation. In 4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010 (pp. 47-51)
Takahashi, Mitsuru ; Takeda, Kotaro ; Otaka, Yohei ; Osu, Rieko ; Hanakawa, Takashi ; Gouko, Manabu ; Ito, Koji. / Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation. 4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010. 2010. pp. 47-51
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Takahashi, M, Takeda, K, Otaka, Y, Osu, R, Hanakawa, T, Gouko, M & Ito, K 2010, Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation. in 4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010. pp. 47-51, 4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010, Prague, Czech Republic, 14-06-10.

Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation. / Takahashi, Mitsuru; Takeda, Kotaro; Otaka, Yohei; Osu, Rieko; Hanakawa, Takashi; Gouko, Manabu; Ito, Koji.

4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010. 2010. p. 47-51.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Takahashi M, Takeda K, Otaka Y, Osu R, Hanakawa T, Gouko M et al. Case study of EEG (electroencephalogram) - FES (functional electrical stimulation) system for stroke rehabilitation. In 4th International Symposium on Measurement, Analysis and Modelling of Human Functions 2010, ISHF 2010. 2010. p. 47-51