To better evaluate neuromuscular function of patients with stroke related motor dysfunction, we proposed an effective corticomuscular coherence analysis and coherent significant judgment method. Firstly, the related functional frequency bands in the electroencephalogram (EEG) were extracted via wavelet decomposition. Secondly, coherence were analysed between surface electromyography (sEMG) and sub-bands extracted from EEG. Further more, a coherent significant indicator was defined to quantitatively describe the similarity in certain frequency domain and phase lock activity between EEG and sEMG. Through the analysis of corticomuscular coherence during knee flexion-extension of stroke patients and healthy controls, we found that the stroke patients exhibited significantly lower gamma-band corticomuscular coherence in performing the task with their affected leg, and there was no statistically significant difference between their unaffected lag and the healthy controls, but with the rehabilitation training, the bilateral difference of corticomuscular coherence in patients decreased gradually.
Case-Control Studies ; Electroencephalography ; Electromyography ; Exercise Therapy ; Humans ; Knee ; physiology ; Muscle, Skeletal ; physiology ; Range of Motion, Articular ; Stroke Rehabilitation

The clinical electroencephalogram (EEG) monitoring systems based on personal computer system can not meet the requirements of portability and home usage. The epilepsy patients have to be monitored in hospital for an extended period of time, which imposes a heavy burden on hospitals. In the present study, we designed a portable 16-lead networked monitoring system based on the Android smart phone. The system uses some technologies including the active electrode, the WiFi wireless transmission, the multi-scale permutation entropy (MPE) algorithm, the back-propagation (BP) neural network algorithm, etc. Moreover, the software of Android mobile application can realize the processing and analysis of EEG data, the display of EEG waveform and the alarm of epileptic seizure. The system has been tested on the mobile phones with Android 2. 3 operating system or higher version and the results showed that this software ran accurately and steadily in the detection of epileptic seizure. In conclusion, this paper provides a portable and reliable solution for epileptic seizure monitoring in clinical and home applications.
Algorithms ; Cell Phone ; Electrocardiography ; Electroencephalography ; instrumentation ; Entropy ; Epilepsy ; diagnosis ; Humans ; Monitoring, Physiologic ; instrumentation ; Neural Networks (Computer) ; Software

Objective:To construct preliminarily the malignant risk classification system for the cervical lymph node.Methods:A total of 301 patients with cervical lymphadenopathy were collected in this prospective study from Union Hospital, Fujian Medical University from July 2018 to December 2019. The ultrasonographic features(including the short diameter, ratio of long to short diameters(L/S), margin, border, matting, echogenic hilum, echogenicity, gross necrosis, microcalcification, hyperechoic area, flow type, vascular distribution), history of malignancy, inflammation performance of the neck and history of tuberculosis were analyzed. A score was assigned for each significant index related to benign/malignant lymph nodes by a Logistic regression analysis. The classification of the malignant risk was determined on the basis of the scores.Results:The factors significantly associated with the malignant lymph nodes were enlargement of the short diameter, L/S<2, microcalcification, hyperechoic area, irregular margin, matting, abnormal flow pattern, malignancy history. While the factors related to the benign were the inflammation performance and the fuzzy boundary. The risk of malignancy increased as the score of lymph node increased. The malignant risk of lymph node according to the classification system was as follows: category 1, 7.30%; category 2a, 35.00%; category 2b, 69.30%; category 2c, 91.50%; and category 3, 99.05%. The area under the ROC curve of the system was 0.913.Conclusions:The system has great potential of clinical application to assess the risk of malignancy in cervical lymph nodes.