Classification Algorithm-Based fMRI Images for Evaluating the Effect of Yishen Tiaodu Acupuncture on the Recovery Period of Cerebral Infarction.

This study aimed to explore the application value of multifeature fusion classification algorithm based on deep learning and Yishen Tiaodu acupuncture in the diagnosis and treatment of patients with cerebral infarction in convalescence. Methods. 62 patients with cerebral infarction were randomly classified into the experimental group and the control group, with 31 patients in each group. All patients received the functional magnetic resonance imaging (fMRI) examination. The image processing method was the multifeature fusion classification algorithm based on deep learning. DICE coefficient, accuracy, and sensitivity were used to evaluate the image processing performance of traditional and new algorithms. Patients in the experimental group were treated with Yishen Tiaodu acupuncture, while patients in the control group were treated with ordinary acupuncture. The evaluation of the cyberchondria severity scale (CSS) and the activities of daily living (ADL) was performed at enrollment, 15 days after treatment, 28 days after treatment, and 1 month after treatment. The results showed that the quality of fMRI images processed by multifeature fusion classification algorithm based on deep learning was signally improved. The clinical efficacy of the traditional Chinese medicine (TCM) syndrome score (86.7% vs. 60.9%) and neurological impairment score (83.4% vs. 53.5%) in the experimental group were remarkably higher compared with the control group (P < 0.05). After treatment, the TCM syndrome score of the experimental group was markedly lower than that of the control group, while the ADL score was higher (P < 0.05). Conclusion. The performance of multifeature fusion classification algorithm based on deep learning in fMRI image processing of patients with cerebral infarction is better than that of traditional algorithms. Yishen Tiaodu acupuncture has a good therapeutic effect on the recovery of motor and neurological function in patients with cerebral infarction at convalescence.

[Optimum selection of acupuncture treatment programs of cerebral infarction and its effects on insulin resistance].

OBJECTIVE: To study the optimum acupuncture treatment program and the mechanism for treatment of cerebral infarction. METHODS: Sixty-three cases were randomly divided into 9 groups. The four factors, times of manipulation, the retaining time of the needle, acupuncture instrument and acupoints,and their corresponding three levels were adopted respectively in treatment of each group. Then nerve function defect score and insulin resistance were observed before and after treatment. RESULTS: The acupoints, the times of manipulation and the retaining time of the needle have significant effects on nerve function defect and insulin resistance (P < 0.01 or P < 0.05), and the acupuncture instrument has a significant effect on insulin resistance (P < 0.01). The choice of acupoints was the most important factor for acupuncture treatment of cerebral infarction. CONCLUSION: Acupuncture for regulating The Governor Vessel with twice manipulations and retaining the needle for 60 min is optimum treatment program for cerebral infarction. The good regulating effect of acupuncture on insulin resistance is one of the mechanisms of achieving the therapeutic results.