Midicine: Using MIDI (Musical Instrument Digital Interface) in Medicine for Treating Patients who experienced a Stroke - Review article

János, Kollár

doi:10.1556/0406.18.2017.016

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…Therefore, the proposed research will be expanded to both music elements generation to fit the health direction and more detailed research of the relationships between the autonomic nervous system and music elements, and the AI models can be applied to achieve the goal of music therapy in the future. Compared with the previous recent literature, although the protocol using MIDI music elements as proposed in [1] can be regarded as the concept of Midicine, the method proposed in this article includes the use of HRV bio-feedback sensor, which can be measured objectively to prove the relaxing effect. This article takes the effect of relaxing music automatically generated by AI as proof and takes a step for the future field of intelligent music therapy.…”

Section: Discussionmentioning

confidence: 99%

“…Music can be quantized, in accordance with the MIDI (Musical Instrument Digital Interface) protocol, it becomes a newly created "medicine", or so-called "Midicine", for therapy [1]. With the continuous improvement of computer processing speed, the ability and application of artificial intelligence continue to improve, and the composition of music through computer calculations has become an important research direction of computer music.…”

Section: Introductionmentioning

confidence: 99%

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Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Chen¹,

Fan²,

Huang³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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This study applies the diatonic chord in music theory, utilization rate, and the close relationship between the main chord system, the dominant chord system, and the subordinate chord system. From the perspective of music theory, the computer can automatically and quickly analyze the music, and establish a set of algorithms for configuring the chord accompaniment for the main melody, called the symmetrical circle of fifths algorithm, SCFA (Symmetrical Circle of Fifths Algorithm). SCFA can immediately confirm the key, perform harmony analysis, configure chord accompaniment for the main melody, and effectively and correctly complete any given melody or interval. It can also quickly analyze and correctly configure the chord accompaniment for any MIDI (Musical Instrument Digital Interface) music, enriching the musicality of the music. It can also allow scorers or computer music creators to quickly deconstruct the harmony configuration of the melody. Through the measurement of bio-feedback sensor HRV (Heart Rate Variability), it can achieve a relaxing music healing effect.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Chen¹,

Fan²,

Huang³

et al. 2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

show abstract

“…In Equation (25), gðx k Þ is the energy value corresponding to the candidate radical frequency x k and tðx k , x i Þ is the closeness of x k to an integer multiple of x i . It is defined as…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Piano Music Teaching under the Background of Artificial Intelligence

Huang

Ding

2022

Wireless Communications and Mobile Computing

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The work is aimed at solving the problems of easy trapping into local extremes and slow convergence speed of the traditional music teaching evaluation system on Backpropagation Neural Network (BPNN). The traditional note recognition methods are susceptible to high noise complexity. Firstly, the Levenberg Marquardt (LM) algorithm is used to optimize the BPNN; secondly, an improved endpoint detection algorithm is proposed by short-term energy difference, which can accurately identify the time value of each note in the piano playing audio. By the traditional frequency domain analysis method, a radical frequency extraction algorithm is proposed by the improved standard harmonic method, which can accurately identify the note’s pitch. Finally, a piano performance evaluation model by BPNN is implemented, and the model is implemented by the Musical Instrument Digital Interface (MIDI) system. This evaluation model can be used to correct the errors of students’ performances in the piano music teaching process and to perform overall evaluation, rhythm evaluation, and expressive evaluation. Teachers and students play minuet to collect experimental samples to train BPNN and test the performance of the evaluation model. The practical result shows that (1) after 3000 times of training, the neural network error is less than 0.01, and the network converges; (2) the evaluation results of the piano performance evaluation model designed are basically in line with the actual level of the performer and have specific feasibility; and (3) the optimized BPNN is used to correct errors during performances with an accuracy rate of 94.3%, which is 5.25% higher than the traditional method. The error correction accuracy rate for pitch is 92.9%, which is 5.21% higher than the traditional method. The optimized BPNN has significantly improved the error correction accuracy of the notes and pitches played by the player. The model can effectively help piano beginners correct errors and improve the accuracy and efficiency of the practice. The purpose of this study is to alleviate the scarcity of piano teachers, reduce the work intensity of piano teachers, realize automatic error correction and objective evaluation of playing, and provide necessary technical support for improving the efficiency of piano music teaching.

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Midicine: Using MIDI (Musical Instrument Digital Interface) in Medicine for Treating Patients who experienced a Stroke - Review article

Cited by 2 publications

References 12 publications

Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Main Melody Configuration and Chord Algorithm for Relaxing Music Generation

Piano Music Teaching under the Background of Artificial Intelligence

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