BOSE Wave Music System一体机

集CD、AM／FM收音调谐等功能于一体的Wave Music System是1999年发售的WaveRadio／CD之后续机型。它保留了BOSE原有的60mm全频带立体声喇叭和闹钟，但将面板上的所有操控按键省略并改由遥控操作。新版本还支持了MP3音乐的播放。外形尺寸为W368×H106×D219mm，重仅3．9kg。

基于MUSIC算法的测向系统的SystemVue仿真设计

基于空间谱估计算法中的经典算法——多重信号分类(Multiple Signal Classification,M USIC)算法建立的测向系统,在介绍SystemVue软件的基础上,首次开展了其在SystemVue软件上的系统仿真设计,包括信源的产生、窄带远场阵列信号生成、信号接收和处理以及数据处理等。仿真设计与结果表明,S ystemVue软件具有界面友好、依靠图符模块构建电子系统、直观清晰地显示信号在系统中的运行情况和电路的特性、在分析窗口能够动态实时地呈现信号的运行情况等特点,具有较强的针对性和专业性,在电子系统仿真领域将具有广阔的应用前景。

基于MUSIC算法特征值损伤因子的板状结构损伤程度评估

研究了多重信号分类(MUSIC)算法在板状结构损伤检测中的应用,提出一种基于MUSIC算法特征值的损伤因子,为基于MUSIC算法的板状结构损伤成像技术提供了一种可靠的损伤程度评估理论。首先利用MUSIC算法计算的高精度特征值和Lamb波损伤散射信号幅值的相关性,采用Abaqus有限元仿真软件模拟不同程度的损伤,将板状结构中的损伤成像定位之后,根据散射信号将结构损伤程度转化为特征值变化量,根据特征值计算损伤因子,建立损伤评估模型预测损伤程度,并通过试验验证其正确性。试验结果表明,在合适的激励频率下,特征值损伤因子随着损伤程度的增加呈现出线性变化,能较好地反映损伤程度;该方法具有较高的准确性和稳定性,在一定损伤程度内能够有效地反映结构损伤程度。

MUSIC学习动机模型在仪器分析教学中的实践与研究

基于MUSIC(Empowerment-Usefulness-Success-Interest-Caring)学习动机模型开展仪器分析教学工作,是目前调动学生学习积极性和锻炼自主学习能力的重要依托。文章立足MUSIC学习动机模型赋权分析、有用研究、成功探索、兴趣指引、关怀体验步骤,深入分析实践应用准则,并围绕现有教学不足确定优化方向,通过明晰学习任务目标、探寻知识需求、构建多样实践活动、立足教材整合资源、师生深度互动评价等策略,促进高职学生良性成长。

Positive effects of music therapist's selected auditory stimulation on the autonomic nervous system of patients with disorder of consciousness: a randomized controlled trial

The current randomized controlled trial was performed at the China Rehabilitation Science Institute, China to test the hypothesis that musical auditory stimulation has positive effects on the autonomic nervous system of patients with disorder of consciousness.Although past studies have recommended that patients with disorder of consciousness listen to patient-preferred music, this practice is not universally accepted by researchers.Twenty patients with severe disorder of consciousness listened to either therapist-selected(n = 10, 6 males and 4 females;43.33 ± 18.76 years old) or patient-preferred(n = 10, 5 males and 5 females, 48.83 ± 18.79 years old) musical therapy, 30 minutes/day, 5 times/week for 6 weeks.The results showed no obvious differences in heart rate variability-related parameters including heart rate, standard deviation of normal-to-normal R-R intervals, and the root-mean-square of successive heartbeat interval differences of successive heartbeat intervals between the two groups of patients.However, percentage of differences exceeding 50 ms between adjacent normal number of intervals, low-frequency power/high-frequency power, high-frequency power norm, low-frequency power norm, and total power were higher in patients receiving therapist-selected music than in patients receiving their own preferred music.In contrast, this relationship was reversed for the high-frequency power and very-low-frequency band.These results suggest that compared with preferred musical stimulation, therapist-selected musical stimulation resulted in higher interactive activity of the autonomic nervous system.Therefore, therapist-selected musical stimulation should be used to arouse the autonomic nervous system of patients with disorder of consciousness.This study was approved by the Institutional Ethics Committee of China Rehabilitation Research Center, China(approval No.2018-022-1) on March 12, 2018 and registered with the Chinese Clinical Trial Registry(registration number Chi CTR1800017809) on August 15, 2018.

Effect of music therapy on chemotherapy-induced nausea and vomiting in gastrointestinal cancer:A systematic review and metaanalysis

BACKGROUND Chemotherapy is the primary treatment for patients with advanced gastrointestinal cancer,but it has many adverse reactions,particularly nausea and vomiting.Music therapy can reduce anxiety symptoms,avoid the response to the human body under various stress conditions through psychological adjustment,and improve the adverse reactions of chemotherapy.AIM To investigate the impact of music therapy on relieving gastrointestinal adverse reactions in chemotherapy for patients with digestive tract cancer by metaanalysis.METHODS EMBASE,PubMed,OVID,WoS,CNKI,CBM,and VIP database were all used for searching relevant literature,and the efficacy after treatment was combined for analysis and evaluation.RESULTS This study included seven articles.The results of meta-analysis indicated that music therapy could reduce the nausea symptom score of patients after chemotherapy[mean difference(MD)=-3.15,95%confidence interval(CI):-4.62 to-1.68,Z=-4.20,P<0.0001].Music therapy could reduce the vomiting symptom score of patients after chemotherapy(MD=-2.28,95%CI:-2.46 to-2.11,Z=-25.15,P<0.0001).Furthermore,music therapy could minimize the incidence of grade I and above nausea or vomiting in patients after chemotherapy(odds ratio=0.38,95%CI:0.26-0.56,Z=-4.88,P<0.0001).Meta-regression analysis found that publication year was not a specific factor affecting the combined results.There was no significant publication bias(P>0.05).CONCLUSION Music therapy can significantly improve the scores of nausea and vomiting symptoms in patients with digestive system cancer during chemotherapy and reduce the incidence of grade I and above nausea and vomiting after chemotherapy,making it an effective psychological intervention method worthy of clinical promotion.

Does music reduce anxiety and discomfort during flexible sigmoidoscopy?A systematic review and meta-analysis

To investigate the role of music in reducing anxiety and discomfort during flexible sigmoidoscopy. METHODSA systematic review of all comparative studies up to November 2016, without language restriction that were identified from MEDLINE and the Cochrane Controlled Trials Register (1960-2016), and EMBASE (1991-2016). Further searches were performed using the bibliographies of articles and abstracts from major conferences such as the ESCP, NCRI, ASGBI and ASCRS. MeSH and text word terms used included “sigmoidoscopy”, “music” and “endoscopy” and “anxiety”. All comparative studies reporting on the effect of music on anxiety or pain during flexible sigmoidoscopy, in adults, were included. Outcome data was extracted by 2 authors independently using outcome measures defined a priori. Quality assessment was performed. RESULTSA total of 4 articles published between 1994 and 2010, fulfilled the selection criteria. Data were extracted and analysed using OpenMetaAnalyst. Patients who listened to music during their flexible sigmoidoscopy had less anxiety compared to control groups [Random effects; SMD: 0.851 (0.467, 1.235), S.E = 0.196, P < 0.001]. There was no statistically significant heterogeneity (Q = 0.085, df = 1, P = 0.77, I2 = 0). Patients who listened to music during their flexible sigmoidoscopy had less pain compared to those who did not, but this difference did not reach statistical significance [Random effects; SMD: 0.345 (-0.014, 0.705), S.E = 0.183, P = 0.06]. Patients who listened to music during their flexible sigmoidoscopy felt it was a useful intervention, compared to those who did not (P < 0.001). There was no statistically significant heterogeneity (P = 0.528, I2 = 0). CONCLUSIONMusic appeared to benefit patients undergoing flexible sigmoidoscopies in relation to anxiety and was deemed a helpful intervention. Pain may also be reduced however further investigation is required to ascertain this.

Effect of 528 Hz Music on the Endocrine System and Autonomic Nervous System

This study examined the stress-reducing effect on the endocrine system and the autonomic nervous system of music with a frequency of 528 Hz, which has recently attracted attention as a “healing” type of music. Nine healthy participants (one man and eight women, aged 26 - 37 years) listened to 528 Hz and standard 440 Hz music on separate days. We measured salivary biomarkers of stress (cortisol, chromogranin A, and oxytocin) before and after exposure to music, and continuously recorded the activity of the autonomic nervous system. The Profile of Mood State, 2nd edition, was also administered as a subjective indicator of stress. In the 528 Hz condition, mean levels of cortisol significantly decreased, chromogranin A tended to decrease, and oxytocin significantly increased after music exposure. However, no significant change was observed in any salivary biomarkers in the 440 Hz condition. The ratio of low frequency to high frequency autonomic nervous system activity significantly decreased after exposure to both types of music, and the coefficient of variation of R-R intervals also significantly decreased, but only after exposure to 528 Hz music. Tension-anxiety and Total Mood Disturbance scores were significantly reduced after exposure to 528 Hz music, while there was no significant difference following 440 Hz music. These results suggest that the influence of music on the autonomic nervous system and endocrine system varies depending on the frequency of the music, and furthermore, that 528 Hz music has an especially strong stress-reducing effect, even following only five minutes of exposure.

Effectiveness of five elements music therapy on negative emotions of tumor patients:a systematic review and grading recommendations(GRADE)system

Background:Many original studies have shown that traditional Chinese five-element therapy(FEM-therapy)can effectively relieve anxiety,depression and quality of life.However,one published systematic review refuted this conclusion.To further clarify the efficacy of FEM therapy in relieving negative emotion among cancer patients and to assess the reliability of the evidence,this systematic review and meta-analysis was performed.Methods:We searched for randomized controlled trials(RCTs)comparing FEM-therapy versus standard care for cancer patients,six databases(CBM,PubMed,Cochrane Library,Web of Science,CNKI,and WanFang),two clinical trial registries and one gray literature database were searched from inception to October 31,2022.Two investigators independently screened literature,extracted data,and assessed risk of bias according to the Cochrane Handbook Version 6.1.0.The RevMan 5.3 software was used to perform the meta-analysis.Overall quality of evidence was rated using GRADE(Grading of Recommendations,Assessment,Development and Evaluation).Results:25 RCTs involving 1990 patients were finally included.Two of which had high risk bias,the remaining 23 were rated as unclear risk bias.Compared with other treatments,FEM-therapy combined with conventional nursing can significantly relieve anxiety(MD=-10.33,95%CI:[-13.77,-6.88],P<0.05;very low certainty)and depression(SMD=-1.10,95%CI:[-1.41,-0.79],P<0.05;very low certainty),and can significantly increase the quality of sleep(MD=-2.92,95%CI:[-4.89,-0.95],P<0.05;low certainty).Compared with acupuncture intervention,FEM-therapy combined with acupuncture can decreased the anxiety(SMD=-0.64,95%CI:[-0.98,-0.30],P<0.05;Moderate certainty)and depression(SMD=-0.68,95%CI:[-1.00,-0.32],P<0.05;Moderate certainty).Conclusion:Traditional Chinese FEM therapy combined with other treatments are effective in alleviating negative emotions among cancer patients.In order to better improve the quality of life of cancer patients and give more reliable advice,more trials of direct comparisons are needed to inform clinical decision-making with greater confidence.

基于DSP的快速MUSIC测角算法

基于阵列信号处理的MUSIC算法,由于其超高的角分辨率和角精度,受到广泛的关注。但是其高运算复杂度,较大地限制了算法的硬件实现。为此,基于MUSIC算法的基本原理,文中分析了该算法在DSP(TI1843)硬件系统实现中关键子步骤的运行时长。针对最为耗时和占用内存最大的空间谱构建和谱峰搜索子步骤,分别提出了便于工程实现的简化方法,并通过硬件平台移植验证了算法的可行性,对比发现该方法大大减少了运算时间和内存空间,具有较高实际应用价值。

基于卡尔曼滤波与MUSIC算法的传感阵列定向方法

对局放源信号的准确测量与有效识别是局部放电检测、定位及分析的关键。受电磁传感器方向特性灵敏度局限,现有基于到达角(AOA)定位的局部放电定位方法主要运用于声音信号。为此,提出一种卡尔曼滤波算法与多信号分类器(MUSIC)算法相结合的特高频传感阵列定向方法,即首先采用卡尔曼滤波算法能够有效处理电磁幅值信号,减小信号波动性及测量误差,大大提升信号测量精度;然后针对单一传感器建立了传感器方向性的参考矩阵,对任意来波信号使用MUSIC算法进行数据匹配,从而得到精确的来波方向;最后经过试验验证,所提算法可将传感器阵列的方向识别结果误差减小至5°以内,提升了测量精度。

改进MUSIC算法的超声波测风方法研究

针对传统超声波测风装置测风精度不高、抗噪声能力弱,提出了一种改进多重信号分类(multiple signal classification,MUSIC)算法的超声波测风方法。采用一种弧形6阵元超声波传感器阵列的测风结构,推导其阵列流型;在此基础上,添加小波阈值降噪算法提高信号信噪比,降低噪声信号协方差矩阵的秩;再使用PHAT加权广义互相关时延估计算法以提高时延估计的准确性,同时根据时延关系对传统MUSIC算法矢量矩阵进行改进;最后通过MUSIC算法实现对风速风向的测量。理论分析与仿真结果表明:改进后的MUSIC算法具有较好的抗噪性能和较高的风参数测量精度,测量风速绝对误差达到0.15 m/s,风向绝对误差达到2°,可以应用于对风参数要求较高的场景。

Comparison of ISFs and LSFs in Speech/Music Discrimination System

The immittance spectral frequencies （ISFs） is proposed as a new set of classification features and compared with the linear spectral frequencies （LSFs） applied in a frame-level wideband speech/music discrimination system. These two sets of features can be shared by the classifier and coding module to reduce the total computational complexity, making our classification system suitable for multi-mode audio coding applications. A performance assessment and comparison of the features are made. The experiment results show that the ISFs and LSFs have similar good performance when using full covariance matrices in classification models and the ISFs perform slightly better when using diagonal matrices. Their statistical differences for speech and music signals are also revealed.

Development of a Musical-based Interaction System for the Waseda Flutist Robot-Implementation of a Real-time Vision Interface Based on the Particle Filter Algorithm

The aim of this paper is to create an interface for humanrobot interaction. Specifically, musical performance parameters （i. e. vibrato expression） of the Waseda Flutist Robot No. 4 Refined IV （WF-4RIV） are to be manipulated. This research focused on enabling the WF-4RIV to interact with human players （musicians） in a natu- ral way. In this paper, as the first approach, a vision processing algorithm, which is able to track the 3Dorientation and position of a musical instrument, was developed. In particular, the robot acquires image data through two catneras attached to its head. Using color histogram matching and a particle filter, the position of the musician＇s hands on the inset are tracked. Analysis of this data determines orientation and location of the iustnment. These pa- rameters are mapped to manipulate the musical expression of the WF- 4RIV, more specifically sound vibrato and volume values. The authors present preliminary experiments to determine if the robot may dynamically change musical parameters while interacting with a human player （i.e. vibrato etc. ）. From the experirnental results, they may confirm the feasibility of the interaction during the performance, although further research must be carried out to consider the physical constraints of the flutist robot.

MUSIC-Based Pilot Decontamination and Channel Estimation in Multiuser Massive MIMO System

This paper addresses the problem of channel estimation in a multiuser multi-cell wireless communications system in which the base station(BS)is equipped with a very large number of antennas(also referred to as"massive multiple-input multiple-output(MIMO)").We consider a time-division duplexing(TDD)scheme,in which reciprocity between the uplink and downlink channels can be assumed.Channel estimation is essential for downlink beamforming in massive MIMO,nevertheless,the pilot contamination effect hinders accurate channel estimation,which leads to overall performance degradation.Benefitted from the asymptotic orthogonality between signal and interference subspaces for non-overlapping angle-of arrivals(AOAs)in the large-scale antenna system,we propose a multiple signals classification(MUSIC)based channel estimation algorithm during the uplink transmission.Analytical and numerical results verify complete pilot decontamination and the effectiveness of the proposed channel estimation algorithm in the multiuser multi-cell massive MIMO system.

The Effect of Music Therapy for Patients With Huntington＇s Disease： A Systematic Literature Review

Huntington＇s disease is a progressive, neurodegenerative, and autosomal dominant disease characterized by motor- and psychiatric disturbances, and cognitive decline. Since there is no cure, all treatment is aimed at improving quality of life. One form of non-drug therapy which is barely recognized, is music therapy. The literature on its use and effect in patients with Huntington＇s disease is limited. We therefore performed a detailed literature survey in order to delineate the different types of music therapy interventions and their aims. Music therapy studies were included when targeting： （1） motor disturbances; （2） cognitive disturbances; （3） psychiatric disturbances; and （4） emotional/social disturbances. A total of eight studies that met these criteria were analyzed. We found that music therapy interventions vary throughout the different stages of the disease and are not yet applied optimally. Not the stage of the disease but the individual treatment goals seem to be more determinative for the music therapy indications. In conclusion, precise aims and methods in relation to the stage of the disease are not well determined. There is a need for systematic study of this treatment option.

基于弧形阵列的局部放电Dir-MUSIC定位算法

局部放电是衡量电力设备绝缘状态的重要指标,局放检测需要解决局放源定位问题。多重信号分类(multiple signal classification,MUSIC)采用全向天线作为接收阵列,可实现多源信号的超分辨率空间谱估计,但要求高信号采样率,且在低信噪比情况下抗干扰能力不足。为此,提出基于弧形阵列的Dir(directional)-MUSIC算法,采用定向天线接收信号的强度信息,实现低信噪比下的局放源波达方向估计。设计了接收局放信号的Vivaldi天线阵列,并在不同信噪比下对算法的有效性进行仿真验证。结果表明:在低信噪比-10 dB来波方向5°下角度误差为0.14°,优于MUSIC算法;阵列在信噪比10 dB,测向范围[-80°,80°]内定位均方根误差小于1.5°。证明了基于弧形阵列的Dir-MUSIC算法有效提高了局放定位精度,且对噪声具有良好的鲁棒性,具有用于局放检测的潜力。

一种奇异值分解与子空间加权联合的改进MUSIC算法

在低信噪比、小快拍数等非理想条件下,经典DOA估计算法对邻近目标的分辨率严重下降,甚至失去分辨能力。针对这一问题,提出了一种将重构的接收信号协方差矩阵进行奇异值分解并与改进的加权子空间方法相结合的改进算法。该算法充分利用互相关信息构建新的接收信号协方差矩阵,并对噪声子空间信息采用新的校正方法,对噪声特征值进行改造,之后对噪声子空间进行加权,最后与信号子空间加权技术相联合。仿真实验证明,改进算法在低信噪比和小快拍数条件下可以分辨间隔4°的相邻目标,统计分析表明该算法的分辨率明显优于经典MUSIC算法。

Music Education Mode Optimization and Vocal Training System Construction from the perspective of Cultural and Aesthetic

Music education mainly cultivates some basic qualities, such as the sense of morality, aesthetic taste, strong mind and creativepower. Music education improves personal comprehensive development through psychological counseling and music therapy. With the deepeningunderstanding towards the role of music education, offering music classes is supported by many non-professional music colleges in China. Themusic education in colleges is not only a way to teach eastern and western musical knowledge, but also a way to enhance students ‘comprehensivequality. The ultimate purpose of music education is to develop and improve students’ personality, and provide a platform to cultivate top - notchtalents. However, there’re still some problems in music education, such as the music classes are not taken seriously, curriculum is backward,the system of music education is incomplete, which severely restricted the role of the music education playing in improvement of students’comprehensive quality and cultivation of top - notch talents. Facing these problems, based on the aims of people oriented and cultivating talents,we need to persist with our struggle in strengthening music education in the proportion of personnel training process with the result of collegestudents’ comprehensive quality, which can provide a strong supporting backup for developing top - notch talents.

Analysis on the Optimization Approaches of Contemporary Piano Education System from the Perspective of Music Knowledge Integration

In this paper, we conduct analysis on the optimization approaches of contemporary piano education system from the perspective of music knowledge integration. In the process of the piano teaching, teacher and school the training of musicianship as the key point of teaching. This is because the skill can through student plays to display directly, appraises the student performance technique quality an important criterion. However, the student has the excellent adept technique merely also by far insufficient, but also needs the high artistic aesthetic ability, not only need be able to appreciate the piano performance, but must be able to reveal the artistic aesthetic feature in the process of piano performance. Piano education as one of the ways of music education, and other subjects, there is the subject of the universal education as its educational ideas, educational ideas and teaching methods, a direct impact on the generation after generation of the comprehensive quality of education. Under this basis, we propose the new idea on the issues that will be beneficial.