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김거식(Keo-Sik Kim),서정환(Jeong-Hwan Seo),송철규(Chul-Gyu Song) 대한전기학회 2010 전기학회논문지 Vol.59 No.1
Spasticity is a motor disorder characterized by a velocity dependent increase in muscle tone with exaggerated tendon jerks, resulting from hyper-excitability of the stretch reflex. The aim of this study is to develop a portable system for quantifying the grade of spasticity which could calculate the biomechanical as well as neurophysiologic parameters, and for determining the relationship between the Tonic Stretch Reflex Threshold (TSRT) and Modified Ashworth Scale (MAS). Eleven patients with stroke participated in the study (6 males and 5 females, the average age of 64.5±16.0 years). As a results, the mean and standard deviation values of the TSRT were 129.8±4.2, 123.4±5.2 and 119.1±2.6 in the MAS 1, MAS 1+ and MAS 2 groups, respectively. Also, there was a negative correlation between the TSRT and MAS (rho=-0.72, p<0.05). This demonstrated that the TSRT could be made clinically available for the more objective and reliable evaluation of the spasticity, instead of using the conventional clinical scales and an isokinetic dynamometer.
金巨植(Keo-Sik Kim),宋哲奎(Chul-Gyu Song),徐正煥(Jeong-Hwan Seo) 대한전기학회 2008 전기학회논문지 Vol.57 No.4
Vibroarthrographic (VAG) signals, emitted by human knee joints, are non-stationary and multi-component in nature and time-frequency distributions (TFD) provide powerful means to analyze such signals. The objective of this paper is to classify VAG signals, generated during joint movement, into two groups (normal and patient group) using the characteristic parameters extracted by time-frequency transform, and to evaluate the classification accuracy. Noise within TFD was reduced by singular value decomposition and back-propagation neural network (BPNN) was used for classifying VAG signals. The characteristic parameters consist of the energy parameter, energy spread parameter, frequency parameter, frequency spread parameter by Wigner-Ville distribution and the amplitude of frequency distribution, the mean and the median frequency by fast Fourier transform. Totally 1408 segments (normal 1031, patient 377) were used for training and evaluating BPNN. As a result, the average value of the classification accuracy was 92.3 (standard deviation ±0.9)%. The proposed method was independent of clinical information, and showed good potential for non-invasive diagnosis and monitoring of joint disorders such as osteoarthritis and chondromalacia patella.
김거식(Keo-Sik Kim),서정환(Jeong-Hwan Seo),김민호(Min-Ho Kim),유상훈(Sang-Hun Ryu),송철규(Chul-Gyu Song) 대한전기학회 2011 전기학회논문지 Vol.60 No.4
Bowel sounds (BS) are produced by the movement of the intestinal contents in the lumen of the gastro-intestinal tract during peristalsis and thus, it can be used clinically as useful indicators of bowel motility. We devised an estimation algorithm of bowel motility based on the regression modeling of the jitter and shimmer of BS signals measured by auscultation. Ten healthy males (23.5±2.1 years) were examined. Consequently, the correlation coefficient, coefficient of determination and standard error between the colon transit times (CTT) measured by a conventional radiograph and the values estimated by our algorithm were 0.98, 0.96 and 2.86, respectively. Also, through k-fold cross validation, the average value of the absolute differences between them was 5.0±2.5 hours. This method could be used as a complementary tool for the non-invasive measurement of bowel motility.