A fully-asynchronous low-power implantable seizure detector for self-triggering treatment

Area of Science:

• Biomedical Engineering
• Neuroscience
• Electrical Engineering

Background:

• Epilepsy management requires precise seizure detection.
• Current implantable devices face challenges with power consumption and long-term use.
• Early identification of electrographic seizure onset is crucial for effective intervention.

Purpose of the Study:

• To develop a novel asynchronous seizure detector for an implantable integrated device.
• To achieve low power consumption for long-term application.
• To accurately identify electrographic seizure onset and trigger focal treatment.

Main Methods:

• Designed a low-power front-end bioamplifier and an intelligent seizure detector.
• Incorporated programmable analog and digital building blocks for EEG analysis.
• Optimized detection parameters for individual patient seizure characteristics.
• Fabricated the system using a 0.13 μm CMOS process.

Main Results:

• The implantable chip achieved 100% sensitivity with no false alarms.
• Total power consumption was only 9 μW.
• Average detection delay was 13.7 seconds post-seizure onset.
• Validated using intracranial EEG data from two epilepsy patients.

Conclusions:

• The developed system is suitable for long-term implantable applications.
• The asynchronous detector accurately identifies seizure onset before clinical symptoms.
• This technology offers a promising approach for epilepsy treatment and management.