Hyun Chool Shin

Summary

Affiliation: Soongsil University
Country: Korea

Publications

  1. ncbi Quantitative EEG and effect of hypothermia on brain recovery after cardiac arrest
    Hyun-Chool Shin
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Trans Biomed Eng 53:1016-23. 2006
  2. ncbi A subband-based information measure of EEG during brain injury and recovery after cardiac arrest
    Hyun Chool Shin
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Trans Biomed Eng 55:1985-90. 2008
  3. ncbi Neural decoding of finger movements using Skellam-based maximum-likelihood decoding
    Hyun Chool Shin
    Department of Electronic Engineering, College of Information Technology, Soongsil University, Seoul, Korea
    IEEE Trans Biomed Eng 57:754-60. 2010
  4. ncbi Quantitative EEG and neurological recovery with therapeutic hypothermia after asphyxial cardiac arrest in rats
    Xiaofeng Jia
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Brain Res 1111:166-75. 2006
  5. ncbi Quantitative EEG assessment of brain injury and hypothermic neuroprotection after cardiac arrest
    Hyun Chool Shin
    Dept of Biomed Eng, Johns Hopkins Univ Sch of Med, Baltimore, MD 21205, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6229-32. 2006
  6. ncbi Asynchronous decoding of dexterous finger movements using M1 neurons
    Vikram Aggarwal
    Department of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    IEEE Trans Neural Syst Rehabil Eng 16:3-14. 2008
  7. ncbi Improving neurological outcomes post-cardiac arrest in a rat model: immediate hypothermia and quantitative EEG monitoring
    Xiaofeng Jia
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Resuscitation 76:431-42. 2008
  8. ncbi Quantitative EEG assessment
    Nitish V Thakor
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Eng Med Biol Mag 25:20-5. 2006
  9. ncbi Odor discrimination using neural decoding of the main olfactory bulb in rats
    Kyung Jin You
    Department of Electronic Engineering, College of IT, Soongsil University, Seoul 156 743, Korea
    IEEE Trans Biomed Eng 58:1208-15. 2011

Collaborators

Detail Information

Publications9

  1. ncbi Quantitative EEG and effect of hypothermia on brain recovery after cardiac arrest
    Hyun-Chool Shin
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Trans Biomed Eng 53:1016-23. 2006
    ..20 (0.20 +/- 0.11 is 95% condidence interval). The results quantitatively support the hypothesis that hypothermia accelerates the electrical recovery from brain injury after cardiac arrest...
  2. ncbi A subband-based information measure of EEG during brain injury and recovery after cardiac arrest
    Hyun Chool Shin
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Trans Biomed Eng 55:1985-90. 2008
    ..Thirteen rats, based on 7-min cardiac arrest were used. The experimental results show that the proposed measure was more highly correlated to neurological outcome than IQ...
  3. ncbi Neural decoding of finger movements using Skellam-based maximum-likelihood decoding
    Hyun Chool Shin
    Department of Electronic Engineering, College of Information Technology, Soongsil University, Seoul, Korea
    IEEE Trans Biomed Eng 57:754-60. 2010
    ..Since the training and decoding procedures in the proposed method are simple and computationally efficient, the method can be extended for real-time neuroprosthetic control of a dexterous hand...
  4. ncbi Quantitative EEG and neurological recovery with therapeutic hypothermia after asphyxial cardiac arrest in rats
    Xiaofeng Jia
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Brain Res 1111:166-75. 2006
    ..These results demonstrate the potential utility of qEEG-IQ to track the response to neuroprotective hypothermia during the early phase of recovery from cardiac arrest...
  5. ncbi Quantitative EEG assessment of brain injury and hypothermic neuroprotection after cardiac arrest
    Hyun Chool Shin
    Dept of Biomed Eng, Johns Hopkins Univ Sch of Med, Baltimore, MD 21205, USA
    Conf Proc IEEE Eng Med Biol Soc 1:6229-32. 2006
    ..Experimental results show that the IQ is higher for hypothermic than normothermic rats. The results quantitatively support the hypothesis that hypothermia accelerates the recovery of brain injury after cardiac arrest...
  6. ncbi Asynchronous decoding of dexterous finger movements using M1 neurons
    Vikram Aggarwal
    Department of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    IEEE Trans Neural Syst Rehabil Eng 16:3-14. 2008
    ..This work takes an important step towards the development of a BMI for direct neural control of a state-of-the-art, multifingered hand prosthesis...
  7. ncbi Improving neurological outcomes post-cardiac arrest in a rat model: immediate hypothermia and quantitative EEG monitoring
    Xiaofeng Jia
    Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Resuscitation 76:431-42. 2008
    ..To enhance the administration of TH, we studied brain electrophysiological monitoring in determining the benefit of early initiation of TH compared to conventional administration in a rat model...
  8. ncbi Quantitative EEG assessment
    Nitish V Thakor
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
    IEEE Eng Med Biol Mag 25:20-5. 2006
  9. ncbi Odor discrimination using neural decoding of the main olfactory bulb in rats
    Kyung Jin You
    Department of Electronic Engineering, College of IT, Soongsil University, Seoul 156 743, Korea
    IEEE Trans Biomed Eng 58:1208-15. 2011
    ..For odor inference, we have developed a decoding method based on the maximum likelihood estimation. The results have shown that the average decoding accuracy is about 100.0%, 96.0%, 84.0%, and 100.0% with four rats, respectively...