A Fully-Implantable Cochlear Implant SoC With Piezoelectric Middle-Ear Sensor and Arbitrary Waveform Neural Stimulation

A system-on-chip for an invisible, fully-implantable cochlear implant is presented. Implantable acoustic sensing is achieved by interfacing the SoC to a piezoelectric sensor that detects the sound-induced motion of the middle ear. Measurements from human cadaveric ears demonstrate that the sensor can detect sounds between 40 and 90 dB SPL over the speech bandwidth. A highly-reconfigurable digital sound processor enables system power scalability by reconfiguring the number of channels, and provides programmable features to enable a patient-specific fit. A mixed-signal arbitrary waveform neural stimulator enables energy-optimal stimulation pulses to be delivered to the auditory nerve. The energy-optimal waveform is validated with in-vivo measurements from four human subjects which show a 15% to 35% energy saving over the conventional rectangular waveform. Prototyped in a 0.18 μm high-voltage CMOS technology, the SoC in 8-channel mode consumes 572 μW of power including stimulation. The SoC integrates implantable acoustic sensing, sound processing, and neural stimulation on one chip to minimize the implant size, and proof-of-concept is demonstrated with measurements from a human cadaver ear.

[1]  Anantha P. Chandrakasan,et al.  18.2 A fully-implantable cochlear implant SoC with piezoelectric middle-ear sensor and energy-efficient stimulation in 0.18μm HVCMOS , 2014, 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC).

[2]  Fan-Gang Zeng,et al.  Spectral and Temporal Cues in Cochlear Implant Speech Perception , 2006, Ear and hearing.

[3]  R V Shannon,et al.  Speech Recognition with Primarily Temporal Cues , 1995, Science.

[4]  Eric Javel,et al.  The Envoy® Totally Implantable Hearing System, St. Croix Medical , 2002, Trends in amplification.

[5]  Simonetta Monini,et al.  Totally implantable middle ear device for rehabilitation of sensorineural hearing loss: preliminary experience with the Esteem®, Envoy , 2009, Acta oto-laryngologica.

[6]  C. Toumazou,et al.  A 126-/spl mu/W cochlear chip for a totally implantable system , 2005, IEEE Journal of Solid-State Circuits.

[7]  Parag A. Pathak,et al.  Massachusetts Institute of Technology , 1964, Nature.

[8]  William M. Rabinowitz,et al.  Better speech recognition with cochlear implants , 1991, Nature.

[9]  Fan-Gang Zeng,et al.  Speech dynamic range and its effect on cochlear implant performance. , 2002, The Journal of the Acoustical Society of America.

[10]  Herman A. Jenkins,et al.  U.S. Phase I Preliminary Results of Use of the Otologics MET Fully-Implantable Ossicular Stimulator , 2007, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[11]  P C Loizou,et al.  On the number of channels needed to understand speech. , 1999, The Journal of the Acoustical Society of America.

[12]  Anantha Chandrakasan,et al.  A Resolution-Reconfigurable 5-to-10-Bit 0.4-to-1 V Power Scalable SAR ADC for Sensor Applications , 2013, IEEE Journal of Solid-State Circuits.

[13]  Warren M Grill,et al.  Energy-efficient waveform shapes for neural stimulation revealed with a genetic algorithm , 2010, Journal of neural engineering.

[14]  R V Shannon,et al.  Speech recognition as a function of the number of electrodes used in the SPEAK cochlear implant speech processor. , 1997, Journal of speech, language, and hearing research : JSLHR.

[15]  M. Sahin,et al.  Non-rectangular waveforms for neural stimulation with practical electrodes , 2007, Journal of neural engineering.

[16]  Darrin J. Young,et al.  MEMS Capacitive Accelerometer-Based Middle Ear Microphone , 2012, IEEE Transactions on Biomedical Engineering.

[17]  Darren M. Whiten Electro-anatomical models of the cochlear implant , 2007 .

[18]  Chris J James,et al.  An Investigation of Input Level Range for the Nucleus 24 Cochlear Implant System: Speech Perception Performance, Program Preference, and Loudness Comfort Ratings , 2003, Ear and hearing.

[19]  A Faulkner,et al.  Effects of the Number of Channels and Speech-to-Noise Ratio on Rate of Connected Discourse Tracking Through a Simulated Cochlear Implant Speech Processor , 2001, Ear and hearing.

[20]  W H Ko,et al.  The middle ear bioelectronic microphone for a totally implantable cochlear hearing device for profound and total hearing loss. , 1999, The American journal of otology.

[21]  John L. Wyatt,et al.  A Power-Efficient Neural Tissue Stimulator With Energy Recovery , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[22]  C. Toumazou,et al.  Design of a micropower current-mode log-domain analog cochlear implant , 2000 .

[23]  Maysam Ghovanloo,et al.  A compact large Voltage-compliance high output-impedance programmable current source for implantable microstimulators , 2005, IEEE Transactions on Biomedical Engineering.

[24]  Q J Fu,et al.  Effects of noise and spectral resolution on vowel and consonant recognition: acoustic and electric hearing. , 1998, The Journal of the Acoustical Society of America.

[25]  R. Sarpeshkar,et al.  An analog bionic ear processor with zero-crossing detection , 2005, ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005..