Literature DB >> 27116750

Low-Power, 8-Channel EEG Recorder and Seizure Detector ASIC for a Subdermal Implantable System.

Bruno G Do Valle, Sydney S Cash, Charles G Sodini.   

Abstract

EEG remains the mainstay test for the diagnosis and treatment of patients with epilepsy. Unfortunately, ambulatory EEG systems are far from ideal for patients who have infrequent seizures. These systems only last up to 3 days and if a seizure is not captured during the recordings, a definite diagnosis of the patient's condition cannot be given. This work aims to address this need by proposing a subdermal implantable, eight-channel EEG recorder and seizure detector that has two modes of operation: diagnosis and seizure counting. In the diagnosis mode, EEG is continuously recorded until a number of seizures are recorded. In the seizure counting mode, the system uses a low-power algorithm to track the number of seizures a patient has, providing doctors with a reliable count to help determine medication efficacy or other clinical endpoint. An ASIC that implements the EEG recording and seizure detection algorithm was designed and fabricated in a 0.18 μm CMOS process. The ASIC includes eight EEG channels and is designed to minimize the system's power and size. The result is a power-efficient analog front end that requires 2.75 μW per channel in diagnosis mode and 0.84 μW per channel in seizure counting mode. Both modes have an input referred noise of approximately 1.1 μVrms.

Entities:  

Mesh:

Year:  2016        PMID: 27116750     DOI: 10.1109/TBCAS.2016.2517039

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  4 in total

Review 1.  Directions of Deep Brain Stimulation for Epilepsy and Parkinson's Disease.

Authors:  Ying-Chang Wu; Ying-Siou Liao; Wen-Hsiu Yeh; Sheng-Fu Liang; Fu-Zen Shaw
Journal:  Front Neurosci       Date:  2021-06-14       Impact factor: 4.677

2.  Ultra-long-term subcutaneous home monitoring of epilepsy-490 days of EEG from nine patients.

Authors:  Sigge Weisdorf; Jonas Duun-Henriksen; Marianne J Kjeldsen; Frantz R Poulsen; Sirin W Gangstad; Troels W Kjaer
Journal:  Epilepsia       Date:  2019-10-13       Impact factor: 5.864

3.  Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Authors:  Nicolas F Fumeaux; Senan Ebrahim; Brian F Coughlin; Adesh Kadambi; Aafreen Azmi; Jen X Xu; Maurice Abou Jaoude; Sunil B Nagaraj; Kyle E Thomson; Thomas G Newell; Cameron S Metcalf; Karen S Wilcox; Eyal Y Kimchi; Marcio F D Moraes; Sydney S Cash
Journal:  Epilepsia       Date:  2020-08-06       Impact factor: 6.740

4.  A Comparison of Machine Learning Classifiers for Energy-Efficient Implementation of Seizure Detection.

Authors:  Farrokh Manzouri; Simon Heller; Matthias Dümpelmann; Peter Woias; Andreas Schulze-Bonhage
Journal:  Front Syst Neurosci       Date:  2018-09-20
  4 in total

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