A new method of synthesizing personalized tinnitus rehabilitation sound based on iterative function system algorithm.
10.7507/1001-5515.201705012
- Author:
Li CAI
1
;
Peiyu HE
2
;
Jiemei CHEN
1
Author Information
1. College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, P.R.China.
2. College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, P.R.China.hepeiyu@scu.edu.cn.
- Publication Type:Journal Article
- Keywords:
fractal sound;
iterative function system;
natural sound;
personalized;
rehabilitation sound
- From:
Journal of Biomedical Engineering
2018;35(4):631-636
- CountryChina
- Language:Chinese
-
Abstract:
Tinnitus is a common clinical symptom. Researches have shown that fractal sound can effectively treat tinnitus. But current fractal sound is usually synthesized based on constant notes via fractal algorithm, which lead to monotony of synthesized fractal sound. So it is difficult to achieve personalized match. Clinical datas have confirmed that it is common to match tinnitus sound with nature sound and it has a good effect on regulating negative emotion and relieving tinnitus via some natural sound. Therefore, a new method of personalized synthesizing tinnitus rehabilitation sound based on iterative function system (IFS) fractal algorithm is proposed in this paper. This method firstly generates personalized audio library based on natural sound, then tinnitus rehabilitation sound is synthesized via IFS fractal algorithm. Simulation results show that rehabilitation sound in this paper can meet the basic requirements of tinnitus therapy sound and can match tinnitus sound by controlling personalized audio library. So it has reference significance to the treatment of tinnitus sound therapy.
