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Record W2254007745 · doi:10.1002/cta.2181

A high‐voltage stimulation chip for wearable stroke rehabilitation systems

2015· article· en· W2254007745 on OpenAlexaff
Lei Zeng, Xin Yi, Guoyong Shi, Mohamad Sawan, Guoxing Wang

Bibliographic record

VenueInternational Journal of Circuit Theory and Applications · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsPolytechnique Montréal
FundersShenzhen Peacock PlanScience and Technology Commission of Shanghai Municipality
KeywordsMicrocontrollerChipSIGNAL (programming language)VoltageWearable computerChannel (broadcasting)StimulationElectrical engineeringElectronic circuitInterface (matter)Computer scienceElectronic engineeringEngineeringComputer hardwareEmbedded systemNeurosciencePsychology

Abstract

fetched live from OpenAlex

Summary In this work, an 8‐channel high‐voltage (HV) stimulation chip for the rehabilitation of stroke patients through surface stimulation is presented. The chip receives control data through its serial peripheral interface and can be controlled by an external microcontroller. It can accordingly generate biphasic stimulation currents with different amplitudes, duration time, frequencies, and polarities for each channel independently. The chip was designed and fabricated using X‐FAB 0.35 µm HV mixed‐signal process. Circuits were carefully designed to ensure their operations under HVs. Our measurement results showed that a supply voltage of as high as 75 V can be achieved, and the current driver can generate biphasic stimuli with current amplitudes up to 4 mA. Copyright © 2015 John Wiley & Sons, Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.297
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2015
Admission routes1
Has abstractyes

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