Low Power Integrated Circuits (IC) Design for Neural Signal Acquisition and Seizure Detection

PhD defence, Wednesday 23 May 2018, Mohammad Tohidi.

2018.05.23 | Maia Høyer Monod

Mohammad Tohidi

Epileptic seizures often occur suddenly without prior prediction and this uncertainty has dramatically impacted the quality of life of the patients. Removing this uncertainty through sufficiently early and accurate seizure detection requires the continuous monitoring of brain activities, e.g. monitoring of the Electroencephalography (EEG) signals with the use of a wearable device.

During this PhD program, for acquiring and digitizing the EEG signals, a full custom Analog Front End (AFE) integrated circuits (IC) is designed and fabricated in 0.18 µm CMOS technology. Measurement results show that, at the supply voltage of 1 V, the power consumption of the AFE is 4.3 µW. Furthermore, an asynchronous epileptic-seizure-detection-system (ESDS) is proposed to detect the low-voltage fast-activity epileptic seizures. The proposed ESDS is the most power-efficient and high-accurate seizure-detection system, reported until now, with an accuracy of 100% and a latency of 8.8s.

The PhD degree was completed at the Integrated Electronics, Electrical and Computer Engineering, Department of Engineering, Aarhus University.

This résumé was prepared by the PhD student.

Time: Wednesday 23 May 2018 at 13.00
Place: Edison Building, Building 5125, room 114E, Electrical and Computer Engineering, Department of Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N  
Title of PhD thesis: Low-Power Mixed-Signal Integrated Circuit Design in Nano-Scaled Technology for Seizure-Detection
Contact information: Mohammad Tohidi, e-mail: m.tohidi@eng.au.dk, tel.: +45 93508032
Members of the assessment committee:
Dr. Hadi Heidari, Department of Engineering, University of Glasgow, UK
Director Jannik H. Nielsen, IC Verification and Qualification, Mellanox Technologies, Denmark
Associate Professor Stefan Hallerstede (chair), Department of Engineering, Aarhus University
Main supervisor:
Professor (Docent) Jens Kargaard Madsen, Department of Engineering, Aarhus University
Associate Professor Farshad Moradi, Department of Engineering, Aarhus University
Associate Professor Martijn Heck, Department of Engineering, Aarhus University
Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1520, rooms 128-134, 8000 Aarhus C.

PhD defence
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Revised 17.05.2018