Massachusetts Institute of Technology

Khalifa University

Masdar Institute of Science and Technology

Muhammad Awais Bin Altaf

Jerald Yoo

Anantha P Chandrakasan

Dina Reda El-Damak

Ali Hossam Shoeb

Long Yan

An integrated circuit chip and method for EEG monitoring. In one embodiment, the integrated circuit chip includes an Analog Front End cell in communication with an electrode and a Classification Processor wherein a signal received from the electrode is processed by the Classification Engine cell and designated as seizure or non-seizure. In another embodiment, the Analog Front End cell includes an amplifier cell in communication with an electrode; and an ASPU cell in communication with the amplifier cell. In yet another embodiment, the Classification Processor includes a DBE Channel Controller cell; a Feature Extraction Engine Processor cell, and a Classification Engine cell in communication with the Feature Extraction Engine Processor cells and the DBE Channel Controller cell.

Multi-channel scalable EEG acquisition system on a chip with integrated patient specific seizure classification and recording processor

This disclosure is directed to a machine-based patient-specific seizure classification system. In general, an example system may comprise a non-linear SVM seizure classification system-on-chip (SoC) with multichannel EEG data acquisition and storage for epileptic patients is presented. The SoC may integrate a hardware-efficient log-linear Gaussian Basis Function engine, floating point piecewise linear natural log, and low-noise, high dynamic range readout circuits. In at least one example implementation, the SoC may consume 1.83 &#x3bc;J/classification while classifying 8 channel results with an average detection rate, average false alarm rate and latency of 95.1%, 0.94% and &#x3c;2 s, respectively.

Machine-based patient-specific seizure classification system

Growing community of inventors

Abu Dhabi, United Arab Emirates

Muhammad Awais Bin Altaf