A rapid algorithm prototyping tool for bi-directional neural interfaces

Architectures capable of using an algorithm to modify actuation based on measured signals are often called "closed-loop" systems. While such systems are traditionally thought to rely on algorithms residing in device firmware, these may also reside outside the device in a host processor loc...

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Bibliographic Details
Main Authors: Isaacson, Benjamin, Dani, Siddharth, Desai, Sharanya Arcot, Denison, Tim, Afshar, Pedram
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Bidirectional control
Classification algorithms
Closed loop systems
Diseases
Sensors
Telemetry
Online Access:Request full text
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Description
Summary:Architectures capable of using an algorithm to modify actuation based on measured signals are often called "closed-loop" systems. While such systems are traditionally thought to rely on algorithms residing in device firmware, these may also reside outside the device in a host processor located physically nearby, or on a cloud-based architecture. In order to serve the potentially broad array of data processing modalities, we have developed an application programming interface (API). The API enables access to the sensing and stimulation capabilities of an implantable bi-directional neural interface. Systems using the API on different hardware/software platforms could measure neural signals, process signals in realtime, and modulate stimulation parameters using a variety of algorithms. This flexibility allows increased algorithm access and enables rapid prototyping for potentially improved technology solutions. The system performance was characterized using a signal generator to input square wave pulses to a Simulink model via the API. Closed-loop stimulation latencies of around 600ms were achieved.
ISSN:1948-3546
1948-3554
DOI:10.1109/NER.2013.6696014