Park, Wanjoo Kim, Yun-Hee Kim, Sung-Phil Kim, Laehyun 2024-01-19T11:38:01Z 2024-01-19T11:38:01Z 2022-03-07 2016 1557-170X https://pubs.kist.re.kr/handle/201004/114974 If an early predictor of motor functional outcome after stroke were available, stroke patients would receive more appropriate treatments for motor recovery. We performed a correlation analysis of the electroencephalography (EEG) signal patterns of nine subacute stroke patients (recorded 22.9 +/- 7.1 days after onset) and their motor recovery rates (measured 100.2 +/- 8.9 days after onset). The beta band spectral power in the bilateral motor cortex after physical upper limb movement correlated significantly with the motor recovery rates [Fugl-Meyer assessment (FMA) scores; Pearson&apos;s linear correlation, p < 0.05]. The R-squared of a regression model of the FMA scores and the EEG features was 0.89. These results suggest that the EEG patterns in motor areas correlate with motor recovery after stroke and can be used as an early predictor of motor functional outcome. English IEEE EEG Patterns of Subacute Stroke Patients Performing Motor Tasks Correlate with Motor Functional Outcome: Preliminary Results Conference 1 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), pp.4674 - 4677 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) 4674 4677 US Orlando, FL 2016-08-16 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 000399823505007 2-s2.0-85009062550 Proceedings Paper