In the present paper, wavelet transform and empirical mode decomposition (EMD) are combined to extracted the features of electroencephalogram (EEG) signal with music intervention, and to achieve a better classification accuracy rate and reliability in emotional assessment in order to provide a support for music therapy. The data were from Database for Emotion Analysis using Physiological Signals (DEAP). Based on wavelet transform α, β and θ rhythms were extracted at frontal (F3, F4), temporal (T7, T8) and central regions (C3, C4). Based on the EMD, the intrinsic mode function (IMF) was analyzed and extracted. Furthermore, average energy and amplitude difference of IMF were analyzed and obtained. The support vector machine was used to assess the state of emotion in order to support music therapy. According to this algorithm, the classification accuracy rate could reach 100% between no emotions, positive emotions and negative emotions, which made a 10% improvement between positive and negative emotion recognition. Effective evaluation result between positive and negative emotions was achieved. The states of emotion would influence the effect of music therapy, undoubtedly, the classification accuracy rate increasing of emo-tional assessment will further help improve the effect of music therapy and provide a better support to the therapy.
Music has a powerful influence on people’s psychology and emotions. Many clinical research reports confirm that music therapy can directly affect and improve people’s psychological and physiological status, alleviate patients’anxiety and other adverse physiological emotions, improve the effectiveness of surgical treatment, and promote rapid recovery. Lung cancer surgery has the characteristics of great trauma, high incidence of postoperative complications and poor prognosis. Therefore, music therapy has its unique advantages for lung cancer. With the rapid development of thoracic surgery (ERAS), as an important part of psychological intervention, music therapy plays an irreplaceable role in the surgical treatment of lung cancer. This article reviews the impact of music therapy on anxiety in lung cancer surgery.
Objective To analyze the efficacy of music therapy on the rehabilitation of post-stroke cognitive impairment (PSCI) and to provide a reference for rehabilitation intervention methods for PSCI. Methods Patients hospitalized in Beijing Bo’Ai Hospital, China Rehabilitation Research Center and diagnosed with PSCI between December 2020 and July 2022 were prospectively selected. According to the random number table method, patients were divided into a music therapy group and a control group. Both groups were given conventional neurology medication, nursing care, and conventional rehabilitation. The music therapy group received additional music therapy training, and both groups received treatment for one month. The Montreal Cognitive Assessment (MoCA), National Institute of Health Stroke Scale (NIHSS), Fugl-Meyer Assessment Scale (FMA), and modified Barthel Index (MBI) were used before and after treatment to assess patients’ cognitive function, degree of neurological deficits, motor function and activities of daily live. Results A total of 48 patients were included, with 24 patients in both groups. There was no statistically significant difference in gender, age, education level, stroke type, lesion location, comorbidities, history of myocardial infarction or peripheral vascular disease, and smoking status between the two groups of patients (P>0.05). Before and after treatment, most patients in the two groups did not score in terms of language and delayed recall scores, and the difference were not statistically significant (P>0.05). There was no statistically significant difference in MoCA scores, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores between the two groups of patients before treatment (P>0.05). After treatment, the MoCA score, visual space and executive function, naming, attention, calculation, abstract thinking, and orientation scores of the music therapy group improved compared to before treatment (P<0.05), while the MoCA score, visual space and executive function, naming, attention, and orientation scores of the control group improved compared to before treatment (P<0.05). After treatment, the improvement in MoCA scores [5.0 (3.0, 6.0) vs. 2.5 (1.0, 4.0)], attention [1.0 (0.0, 1.0) vs. 0.0 (0.0, 1.0)], and abstract thinking scores [0.0 (0.0, 1.0) vs. 0.0 (0.0, 0.0)] in the music therapy group were better than that in the control group (P<0.05). There was no statistically significant difference in NIHSS, FMA, and MBI scores between the two groups of patients before treatment (P>0.05), and both groups improved after treatment compared to before treatment (P<0.05). After treatment, there was no statistically significant difference in the improvement of NIHSS, FMA, and MBI scores between the two groups of patients (P>0.05). Conclusions Compared with conventional rehabilitation therapy, training combined with music therapy is more beneficial for improving cognitive function in PSCI patients, especially in the cognitive domains of attention and abstract thinking. However, significant advantages have not been found in improving the degree of neurological impairment, limb motor function, and daily living activities.