Validation of chronic implantable neural sensing technology using electrocorticographic (ECoG) based brain machine interfaces

Abstract

This paper describes the use of an electrocorticographic (ECoG) based brain machine interface (BMI) as a validation tool for chronic, embedded neural sensing device. This device is designed for basic science and clinical research in neurological diseases. Using the device in a BMI application allows the comparison of quantifiable validation metrics against off-the-shelf sensing methods, and its signals represent the types of signals expected in the clinical disease state.