SBIR/STTR Research Award

Reducing structural damage and adverse surgical events during cochlear implantation using an intraoperative sensing system

Award identifier 32fdf0d0b1ce6c481784b4f73770650a28a3075613616bcf2453d6cb219fa634Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,297,496

Program and phase

SBIR · Phase II

Award year

2025

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ADVANCED OPTRONICS INC.
Proposal award date
2025-07-01
Contract end date
2027-06-30
UEI
X8BVTKLATEA3
Solicitation number
PA24-245
Topic code
NIDCD

Research abstract

SUMMARY/ABSTRACT Cochlear implants (CIs) restore hearing via direct electrical stimulation of the auditory nerve. Currently, the surgeon must blindly thread an ultra-thin CI electrode array into the spiral-shaped cochlea, risking structural damage that destroys residual acoustic hearing and impacts speech intelligibility outcomes. This loss of residual hearing occurs in about 50% of operations, is identified by the FDA as an important implant-related risk, and contributes to low CI adoption rates. Currently, only about 5% of eligible CI candidates receive a CI in the US. Measurable characteristics of electrode insertion, including position and force, are linked to surgical outcomes such as speech perception and structural damage, providing a pathway for ameliorating these risks. Presently, these features are sensed manually & qualitatively by the surgeon during CI insertion, with adjustments in technique depending heavily on subjective experience and surgeon dexterity. To address this significant clinical gap, Advanced Optronics, Inc. (AO) is developing the “Sixth Sense” Surgical Guidance System, which uses a sensor-enabled CI electrode to generate quantitative data for surgeons to utilize in real-time during electrode insertion. With instantaneous metrics regarding the trajectory of the intracochlear electrode and the forces it endures, the surgeon can make data-driven micro-adjustments that optimize electrode placement, minimize structural damage, and improve the surgical outcomes for patients. The system integrates 3 primary components: (i) a flexible micro-electromechanical systems (MEMS) strain sensor to detect changes in the CI electrode, (ii) ML models to transform the raw strain into clinically relevant metrics, and (iii) hardware to collect and process the data and display information to surgeons in real-time. This Phase II proposal builds on our successful Phase I SBIR effort, which developed a benchtop prototype system, completed component-level optimization, and demonstrated feasibility. The next major steps to allow system validation and successful product introduction to the end-user (surgeon) are (1) Refinement & optimization of the CI sensor system and validation of performance; (2) ML Sim2Real transfer for electrode state detection and clinical event detection; and (3) a Powered cadaver study for validation and data collection with the integrated CI system. Aims 1 and 2 are parallel, yet synergistic: ML models will identify critical features of insertion; sensor design iterations will detect these features; and the process will be repeated and re-evaluated. This will result in an optimized hardware platform of a sensor-enabled CI electrode, featuring an optimized sensor design to provide detailed real-time information on the electrode state paired with optimized ML models to interpret the raw strain data and generate clinically relevant features. The final outcome of the validation study will be the demonstration of reduced intracochlear trauma via histological analysis using the 5-point Eshraghi scale. The successful outcome of this Phase II effort will result in the design freeze of the CI system and end user validation, producing a translation-ready device in preparation for out-licensing and adoption by CI companies for real-world use.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $1,572,433. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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