A Functional View on the Peripheral Human Hearing Organ

2005 ◽  
pp. 47-74 ◽  
Author(s):  
Herbert Hudde
Keyword(s):  
Author(s):  
Albrecht Eiber ◽  
Christian Breuninger

For the description of the hearing process nonlinear models for normal, pathological and reconstructed ears were established based on multibody systems or finite elements. Nonlinearities are found in the constitutive equations of the ear drum, the ligaments and the coupling between implant and ossicles. Measurements in the clinical practice and in the lab are used to determine the dynamical behavior of the hearing organ and to derive the belonging model parameters. Simulations with various types of implants and different manners of incisions show the big influence of the points of attachment and the coupling conditions on the sound transfer. For actively driven implants the restricted coupling forces have to be regarded since distortion may lead to unacceptable results. The models allow virtual tests of passive and active implants to optimize their performance, to shorten clinical test series and an interpretation of injuries due to loud sound events.


2013 ◽  
Vol 38 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Piotr Kiełczyński

Abstract This paper presents a new model that describes the physical phenomena occurring in an individual Outer Hair Cell (OHC) in the human hearing organ (Cochlea). The new model employs the concept of parametric amplification and piezoelectricity. As a consequence, the proposed model may explain in a natural way many as yet unresolved problems about the mechanisms of: 1) power amplification, 2) non- linearity, 3) fine tuning, or 4) high sensitivity that take place in the human hearing organ. Mathematical analysis of the model is performed. The equivalent electrical circuits of an individual OHC are established. The high selectivity of the OHC parametric amplifier is analyzed by solving the resulting Mathieu and Ince differential equations. An analytical formula for the power gain in the OHC’s parametric amplifier has been developed. The proposed model has direct physical interpretation and all its elements have their physical counterparts in the actual structure of the cochlea. The numerical values of the individual elements of the electrical equivalent circuits are consistent with the experimental physiological data. It is anticipated that the proposed new model may contribute in future improvements of human cochlear implants as well as in development of new digital audio standards.


Author(s):  
Young Jung ◽  
Jun-Hyuk Kwak ◽  
Hanmi Kang ◽  
Wandoo Kim ◽  
Shin Hur
Keyword(s):  

1970 ◽  
Vol 15 (7) ◽  
pp. 475-476
Author(s):  
BERTRAM SCHARF
Keyword(s):  

Neuroscience ◽  
1992 ◽  
Vol 49 (3) ◽  
pp. 607-616 ◽  
Author(s):  
L. Brundin ◽  
Å. Flock ◽  
S.M. Khanna ◽  
M. Ulfendahl

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Tim Fischer ◽  
Marco Caversaccio ◽  
Wilhelm Wimmer

AbstractThe Cocktail Party Effect refers to the ability of the human sense of hearing to extract a specific target sound source from a mixture of background noises in complex acoustic scenarios. The ease with which normal hearing people perform this challenging task is in stark contrast to the difficulties that hearing-impaired subjects face in these situations. To help patients with hearing aids and implants, scientists are trying to imitate this ability of human hearing, with modest success so far. To support the scientific community in its efforts, we provide the Bern Cocktail Party (BCP) dataset consisting of 55938 Cocktail Party scenarios recorded from 20 people and a head and torso simulator wearing cochlear implant audio processors. The data were collected in an acoustic chamber with 16 synchronized microphones placed at purposeful positions on the participants’ heads. In addition to the multi-channel audio source and image recordings, the spatial coordinates of the microphone positions were digitized for each participant. Python scripts were provided to facilitate data processing.


ORL ◽  
1977 ◽  
Vol 39 (4) ◽  
pp. 233-240 ◽  
Author(s):  
George Kelemen
Keyword(s):  

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