Energy-efficient waveform for electrical stimulation of the cochlear nerve
The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are signific...
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Published in | Scientific reports Vol. 7; no. 1; pp. 13582 - 9 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
19.10.2017
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/s41598-017-13671-y |
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Abstract | The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are significant challenges associated with the external unit, as it has limited utility and CI users often report a social stigma associated with prosthesis visibility. A fully-implantable CI (FICI) would address these issues. However, the volume constraint imposed on the FICI requires less power consumption compared to today’s CI. Because neural stimulation by CI electrodes accounts for up to 90% of power consumption, reduction in stimulation power will result directly in CI power savings. To determine an energy-efficient waveform for cochlear nerve stimulation, we used a genetic algorithm approach, incorporating a computational model of a single mammalian myelinated cochlear nerve fiber coupled to a stimulator-electrode-tissue interface. The algorithm’s prediction was tested
in vivo
in human CI subjects. We find that implementation of a non-rectangular biphasic neural stimulation waveform may result in up to 25% charge savings and energy savings within the comfortable range of hearing for CI users. The alternative waveform may enable future development of a FICI. |
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AbstractList | The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are significant challenges associated with the external unit, as it has limited utility and CI users often report a social stigma associated with prosthesis visibility. A fully-implantable CI (FICI) would address these issues. However, the volume constraint imposed on the FICI requires less power consumption compared to today’s CI. Because neural stimulation by CI electrodes accounts for up to 90% of power consumption, reduction in stimulation power will result directly in CI power savings. To determine an energy-efficient waveform for cochlear nerve stimulation, we used a genetic algorithm approach, incorporating a computational model of a single mammalian myelinated cochlear nerve fiber coupled to a stimulator-electrode-tissue interface. The algorithm’s prediction was tested
in vivo
in human CI subjects. We find that implementation of a non-rectangular biphasic neural stimulation waveform may result in up to 25% charge savings and energy savings within the comfortable range of hearing for CI users. The alternative waveform may enable future development of a FICI. The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are significant challenges associated with the external unit, as it has limited utility and CI users often report a social stigma associated with prosthesis visibility. A fully-implantable CI (FICI) would address these issues. However, the volume constraint imposed on the FICI requires less power consumption compared to today's CI. Because neural stimulation by CI electrodes accounts for up to 90% of power consumption, reduction in stimulation power will result directly in CI power savings. To determine an energy-efficient waveform for cochlear nerve stimulation, we used a genetic algorithm approach, incorporating a computational model of a single mammalian myelinated cochlear nerve fiber coupled to a stimulator-electrode-tissue interface. The algorithm's prediction was tested in vivo in human CI subjects. We find that implementation of a non-rectangular biphasic neural stimulation waveform may result in up to 25% charge savings and energy savings within the comfortable range of hearing for CI users. The alternative waveform may enable future development of a FICI. The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are significant challenges associated with the external unit, as it has limited utility and CI users often report a social stigma associated with prosthesis visibility. A fully-implantable CI (FICI) would address these issues. However, the volume constraint imposed on the FICI requires less power consumption compared to today's CI. Because neural stimulation by CI electrodes accounts for up to 90% of power consumption, reduction in stimulation power will result directly in CI power savings. To determine an energy-efficient waveform for cochlear nerve stimulation, we used a genetic algorithm approach, incorporating a computational model of a single mammalian myelinated cochlear nerve fiber coupled to a stimulator-electrode-tissue interface. The algorithm's prediction was tested in vivo in human CI subjects. We find that implementation of a non-rectangular biphasic neural stimulation waveform may result in up to 25% charge savings and energy savings within the comfortable range of hearing for CI users. The alternative waveform may enable future development of a FICI.The cochlear implant (CI) is the most successful neural prosthesis, restoring the sensation of sound in people with severe-to-profound hearing loss by electrically stimulating the cochlear nerve. Existing CIs have an external, visible unit, and an internal, surgically-placed unit. There are significant challenges associated with the external unit, as it has limited utility and CI users often report a social stigma associated with prosthesis visibility. A fully-implantable CI (FICI) would address these issues. However, the volume constraint imposed on the FICI requires less power consumption compared to today's CI. Because neural stimulation by CI electrodes accounts for up to 90% of power consumption, reduction in stimulation power will result directly in CI power savings. To determine an energy-efficient waveform for cochlear nerve stimulation, we used a genetic algorithm approach, incorporating a computational model of a single mammalian myelinated cochlear nerve fiber coupled to a stimulator-electrode-tissue interface. The algorithm's prediction was tested in vivo in human CI subjects. We find that implementation of a non-rectangular biphasic neural stimulation waveform may result in up to 25% charge savings and energy savings within the comfortable range of hearing for CI users. The alternative waveform may enable future development of a FICI. |
ArticleNumber | 13582 |
Author | Yip, Marcus Chandrakasan, Anantha Bowers, Peter Noel, Victor Stankovic, Konstantina M. |
Author_xml | – sequence: 1 givenname: Marcus surname: Yip fullname: Yip, Marcus organization: Department of Electrical Engineering and Computer Science, Microsystems Technology Laboratories, Massachusetts Institute of Technology – sequence: 2 givenname: Peter surname: Bowers fullname: Bowers, Peter organization: Eaton-Peabody Laboratories, Department of Otolaryngology, Program in Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School – sequence: 3 givenname: Victor surname: Noel fullname: Noel, Victor organization: Cochlear Implant Research Laboratory – sequence: 4 givenname: Anantha surname: Chandrakasan fullname: Chandrakasan, Anantha organization: Department of Electrical Engineering and Computer Science, Microsystems Technology Laboratories, Massachusetts Institute of Technology – sequence: 5 givenname: Konstantina M. surname: Stankovic fullname: Stankovic, Konstantina M. email: konstantina_stankovic@meei.harvard.edu organization: Eaton-Peabody Laboratories, Department of Otolaryngology, Program in Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School, Department of Otolaryngology, Harvard Medical School |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29051546$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1007/978-3-319-25474-6_15 10.1016/j.heares.2010.06.017 10.1109/TBME.1976.324636 10.1093/geront/gnp107 10.1016/S0378-5955(00)00257-4 10.2310/7070.2004.02069 10.1109/10.752943 10.1016/j.heares.2014.12.004 10.1109/TBME.2005.844043 10.1109/TBME.2005.844050 10.1088/1741-2560/4/3/008 10.1109/TNSRE.2010.2047610 10.1109/TBME.2004.836518 10.1109/10.293243 10.1088/1741-2560/7/4/046009 10.1016/j.heares.2013.10.001 10.2471/BLT.13.128728 10.3758/BF03204312 10.1177/0194599812438041 10.1109/TBME.1976.324593 10.1007/s10162-008-0112-4 10.1007/BF00584655 10.1109/10.817620 10.1016/j.heares.2014.08.002 10.1109/CICC.2007.4405768 10.1016/j.heares.2014.10.001 10.1097/00003446-200108000-00005 10.1109/JSSC.2004.840959 |
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SubjectTerms | 631/114/2397 631/378/2619/1387 631/378/2649/1723 Algorithms Cochlea Cochlear Implants Cochlear Nerve - physiology Computer applications Electric Stimulation - instrumentation Electric Stimulation - methods Electrical stimuli Electrodes Energy charge Energy conservation Energy efficiency Female Hearing loss Humanities and Social Sciences Humans Male multidisciplinary Power consumption Prostheses Science Science (multidisciplinary) |
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Title | Energy-efficient waveform for electrical stimulation of the cochlear nerve |
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