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A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bin Altaf, Muhammad Awais | - |
dc.contributor.author | Zhang, Chen | - |
dc.contributor.author | Yoo, Jerald | - |
dc.date.accessioned | 2024-05-03T04:34:01Z | - |
dc.date.available | 2024-05-03T04:34:01Z | - |
dc.date.created | 2024-05-02 | - |
dc.date.issued | 2015-11 | - |
dc.identifier.citation | IEEE JOURNAL OF SOLID-STATE CIRCUITS, Vol.50 No.11, pp.2728-2740 | - |
dc.identifier.issn | 0018-9200 | - |
dc.identifier.uri | https://hdl.handle.net/10371/200832 | - |
dc.description.abstract | A 16-channel noninvasive closed-loop beginning-and end-of-seizure detection SoC is presented. The dual-channel charge recycled (DCCR) analog front end (AFE) achieves chopping and time-multiplexing an amplifier between two channels simultaneously which exploits fast-settling DC servo-loop with current consumption and NEF of 0.9 mu A/channel and 3.29/channel, respectively. The dual-detector architecture (D(2)A) classification processor utilizes two linear support-vector machine (LSVM) classifiers based on digital hysteresis to enhance both the sensitivity and the specificity simultaneously. The pulsating voltage transcranial electrical stimulator (PVTES) automatically configures the number of pulses to control the amount of charge delivered based on skin-electrode impedance variation in efforts to suppress the seizure activity, while burning only 2.45 mu W. The 25 mm(2) SoC implemented in 0.18 mu m CMOS consumes 2.73 mu J/classification for 16 channels with an average sensitivity, specificity, and latency of 95.7%, 98%, and 1 s, respectively. | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/JSSC.2015.2482498 | - |
dc.citation.journaltitle | IEEE JOURNAL OF SOLID-STATE CIRCUITS | - |
dc.identifier.wosid | 000364458200023 | - |
dc.identifier.scopusid | 2-s2.0-84947046618 | - |
dc.citation.endpage | 2740 | - |
dc.citation.number | 11 | - |
dc.citation.startpage | 2728 | - |
dc.citation.volume | 50 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Yoo, Jerald | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | EEG ACQUISITION SOC | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | SENSOR | - |
dc.subject.keywordPlus | MACHINE | - |
dc.subject.keywordPlus | NEUROSTIMULATION | - |
dc.subject.keywordPlus | SUPPRESSION | - |
dc.subject.keywordPlus | PROCESSOR | - |
dc.subject.keywordPlus | ELECTRODE | - |
dc.subject.keywordPlus | EPILEPSY | - |
dc.subject.keywordPlus | CMOS | - |
dc.subject.keywordAuthor | Analog sleep mode | - |
dc.subject.keywordAuthor | charge recycling | - |
dc.subject.keywordAuthor | continuous health monitoring | - |
dc.subject.keywordAuthor | digital hysteresis | - |
dc.subject.keywordAuthor | electroencephalogram (EEG) | - |
dc.subject.keywordAuthor | epilepsy | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordAuthor | noninvasive | - |
dc.subject.keywordAuthor | seizure detection | - |
dc.subject.keywordAuthor | support vector machine (SVM) | - |
dc.subject.keywordAuthor | system-on-chip (SoC) | - |
dc.subject.keywordAuthor | transcranial electrical stimulation | - |
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- College of Engineering
- Department of Electrical and Computer Engineering
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