Multi-rigid-body modeling and simulation of perimodiolar cochlear electrode arrays

Abstract

This study presented a method that decomposes perimodiolar electrodes into multi-rigid bodies for the study on the shape variation of cochlear perimodiolar electrode. The coordinates of electrode array were obtained by capturing the shape varying image of the perimodiolar electrodes with the stylet extracted. Subsequently, the increment of the angle variation and the length of each link were obtained. Fourier compensation fitting method was developed using the three fitting methods to compare and analyze the increment of the angle variation of the perimodiolar electrode multi-rigid model. This can not only ensure that the initial angle of the joint is consistent with the actual angle of the perimodiolar electrode, but also fully reflect the varying trend of the joint angle of the multi-rigid model of the perimodiolar electrode. The simulation of the shape variation of the perimodiolar electrode multi-rigid-body model was performed using this method in the ADAMS simulation platform. According to the simulation results, the precise and continuous shape variation of perimodiolar electrodes can be obtained using this method.

Keywords

Perimodiolar electrode multi-rigid-body model curve fitting electrode shape variation simulation Fourier compensation fitting method

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References

World Health Organization (WHO). Deafness and hearing loss, 2018, http://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss

Chi

. Technical parameters and the progress of Australian, Austrian and Swiss (American) Cochlear. China Med Dev Inf 2015; 21(2): 13–18.

Mistrk

Jolly

Sieber

et al . Challenging aspects of contemporary cochlear implant electrode array design. World J Otorhinolaryngol Head Neck Surg 2017; 3(4): 192–199.

Dadd

Manouchehri

et al . Manufacturing an electrode array for a stimulating medical device. US20170361088A1 Patent, 2017.

King

Donlin

Hannaford

. Perceptual thresholds for single vs. multi-finger haptic interaction. In: IEEE haptics symposium, Waltham, MA, 25–26 March 2010, pp.95–99. New York: IEEE.

Baud-Bovy

Gatti

. Hand-held object force direction identification thresholds at rest and during movement. In: International conference on human haptic sensing and touch enabled computer applications, Amsterdam, 8–10 July 2010, pp.231–236. Berlin: Springer.

Rau

Hgl

Lenarz

et al . Toward steerable electrodes. An overview of concepts and current research. Curr Directi Biomed Eng 2017; 3(2): 765–769.

Todt

Basta

Seidl

et al . Advances to electrode pullback in cochlear implant surgery. Sci World J 2012; 2012: 126767.

Venail

Bell

Akkari

et al . Manual electrode array insertion through a robot-assisted minimal invasive cochleostomy: feasibility and comparison of two different electrode array subtypes. Otol Neurotol 2015; 36(6): 1015–1022.

10.

Pile

Cheung

Zhang

et al . Algorithms and design considerations for robot assisted insertion of perimodiolar electrode arrays. In: IEEE international conference on robotics and automation (ICRA), Shanghai, China, 9–13 May 2011, pp.2898–2904. New York: IEEE.

11.

Rau

Majdani

Hussong

et al . Determination of the curling behavior of a preformed cochlear implant electrode array. Int J Comput Assist Radiol Surg 2011; 6(3): 421–433.

12.

Rau

Lenarz

Majdani

. Individual optimization of the insertion of a preformed cochlear implant electrode array. Int J Otolaryngol 2015; 2015: 724703.

13.

Zhang

Roland

Manolidis

et al . Optimal path planning for robotic insertion of steerable electrode arrays in cochlear implant surgery. J Med Dev 2009; 3(1): 011001.

14.

Zhang

Simaan

et al . A pilot study of robot-assisted cochlear implant surgery using steerable electrode arrays. In: International conference on medical image computing and computer-assisted intervention (MICCAI), Copenhagen, 1–6 October 2006, pp.33–40. Berlin: Springer.

15.

Wijewickrema

Zhou

et al . Simulation for training cochlear implant electrode insertion. In: 30th IEEE international symposium on computer-based medical systems (CBMS), Thessaloniki, 22–24 June 2017, pp.1–6. New York: IEEE.

16.

Zhu

Wang

et al . A wavelet decomposition and polynomial fitting-based method for the estimation of time-varying residual motion error in airborne interferometric SAR. IEEE T Geosci Remote 2018; 56(1): 49–59.

17.

Chen

. Feedforward control based on Fourier series trajectory fitting method for industrial robot. In: 29th Chinese control and decision conference (CCDC), Chongqing, China, 28–30 May 2017, pp.4890–4894. New York: IEEE.

18.

. Many-knot spline technique for approximation of data. Sci China Ser E: Technol Sci 1999; 42(4): 383–387.

19.

Dong-Xu

Shu-Zi

. Local explicit many-knot spline Hermite approximation schemes. J Comput Math 1983; 1(4): 317–321.

20.

Tjahjowidodo

. A direct method to solve optimal knots of B-spline curves: an application for non-uniform B-spline curves fitting. PLoS ONE 2017; 12(3): e0173857.

21.

Vidyullatha

Rao

. Machine learning techniques on multidimensional curve fitting data based on R-square and chi-square methods. Int J Electr Comput Eng 2016; 6(3): 974–979.