Iyad Obeid, PhD

Research Interests

Brain Machine Interfaces (BMIs) are an emerging technology whose purpose is to allow volitional neural control of prosthetic devices. Advances in this area, although impressive, are limited by the general requirement that subjects be tethered to bulky recording hardware that severely restricts mobility. Our goal is to develop portable or implantable instrumentation that will liberate patients to freely interact with their neural prostheses.

The Neural Instrumentation Lab is pursuing this goal on several fronts simultaneously. We are researching novel procedures for autonomously detecting spikes, including algorithms specifically targeted for computationally limited hardware. We are also interested in developing techniques for modeling the interaction between BMIs and the plastic cortical circuits that control them. A better understanding of how the brain adapts in controlling a BMI will lead to improved instrumentation designs. Specifically, a clearer idea of how the brain adapts to performance deficits in specific BMI instrumentation subsystems will inform how best to apportion computational resources within the recording hardware.

Peer Review Publications

Rizk M, Obeid I, Callender S, Wolf PD (2007) “A single-chip signal processing and telemetry engine for an implantable 96-channel neural data acquisition system” J Neural Eng, 4, 309–321.

Obeid I, Wolf PD (2004) “Evaluation of Spike Detection Algorithms for a Brain Machine Interface Application”, IEEE Trans Biomed Eng, 51(6), 905-11.

Obeid I, Nicolelis M, Wolf PD (2004) “A Low Power Multichannel Analog Front End for Portable Neural Signal Recordings”, J Neurosci Meth, 133(1-2), 27-32.

Obeid I, Nicolelis M, Wolf PD (2004) “A Multichannel Telemetry System for Single Unit Neural Recordings”, J Neurosci Meth, 133(1-2), 33-38.

Obeid I, Morizio JC, Moxon KA, Nicolelis MAL, Wolf PD (2003) “Two Multichannel Integrated Circuits for Neural Recording and Signal Processing”, IEEE Trans Biomed Eng, 50(2), 255-8.