01
Surgery and clinical insight
Anatomy, instrument handling and surgical workflow guide which tissue distinctions matter and how information should be presented.
Focus Surgical decisions and workflow.
A multidisciplinary approach to surgical sensing.
NeuraSense Labs brings clinical insight, instrumentation, signal processing and machine learning together to develop surgical sensing. Based in Los Angeles, we are building toward tissue information at the instrument’s point of contact.
01 Surgery
02 Instrumentation
03 Signal processing
04 Machine learning
01 Mission
Bringing tissue information to the point of contact, through the instruments surgeons already use.
- Field
- Surgical sensing
- Method
- Electrical impedance of tissue, measured across frequencies
- Stage
- Research and development
- Base
- Los Angeles, California
Tissue identification draws on anatomy, sight, touch and surgical experience. NeuraSense explores an additional source of information: the electrical response of tissue measured through a surgical instrument.
Our development brings instrument design, tissue characterization and signal analysis into one effort, with surgical use guiding the direction.
02 Disciplines
Four disciplines, one point of contact.
Surgical insight defines the need. Instrumentation captures the measurement. Signal processing characterizes it. Machine learning evaluates the patterns.
02
Instrumentation and electronics
Measurement electronics, electrode design and calibration bring electrical sensing to the instrument tip.
Focus Instrument-integrated measurement.
03
Signal processing
Processing across frequencies helps separate tissue characteristics from the effects of contact, pressure, electrodes and cabling.
Focus Repeatable, comparable signal features.
04
Machine learning and data
Classification and statistical methods compare tissue measurements with characterized references and assess performance on separate evaluation data.
Focus Classification and independent evaluation.
03 Intersections
From clinical need to instrument intelligence.
The disciplines connect around five development priorities.
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ASurgery and Instrumentation
Fit the surgical workflow.
Design sensing around instrument handling, use and cleaning requirements.
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BInstrumentation and Signal processing
Characterize the complete measurement.
Account for tissue, electrode response, contact pressure and the measurement setup.
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CSignal processing and Machine learning
Build transferable signal features.
Evaluate features across specimens and conditions, using separate development and evaluation data.
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DMachine learning and Surgery
Present useful information.
Develop outputs around surgical decisions, timing and clear interpretation.
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EAll four, at the instrument tip
Integrate sensing at the point of contact.
Bring measurement, analysis and instrument design together in one development program.
04 NeuraSense Labs and NeuraSense
One team. A shared sensing vision.
NeuraSense Labs is the team; NeuraSense is the technology we are developing.
The team
NeuraSense Labs
The team behind NeuraSense, bringing surgical insight, electronics, signal processing and machine learning into one development effort.
The technology
NeuraSense
Our impedance-based surgical-sensing technology in development: measuring tissue response through an instrument and interpreting it across frequencies.
05 Connect
Talk with the team behind NeuraSense.
We welcome conversations with clinicians, researchers and engineers working on surgical sensing, instrumentation and tissue analysis.