MétaCan
Menu
Back to cohort
Record W2365354354

Design of ECG Signal Sampling System Based on ATmega168V

2007· article· en· W2365354354 on OpenAlexvenueno aff
YU Hai-xun

Bibliographic record

VenueMicrocomputer applications · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceSampling (signal processing)Frame (networking)SIGNAL (programming language)SoftwareRealization (probability)Computer hardwareFilter (signal processing)Flow chartSignal-flow graphDigital signalSimple (philosophy)ChartReal-time computingEmbedded systemDigital signal processingTelecommunicationsElectrical engineeringComputer visionEngineering drawing
DOInot available

Abstract

fetched live from OpenAlex

The paper introduces the design and realization of ECG Signal Sampling System Based on ATmega 168V, and shows the scheme of the main circuit.The frame and flow chart of the software are showed in the paper.To minimize the circuit,the digital filter with good performanceis used.The system can communicate with PC or PDA directly through corresponding setting and the software of system can be upgraded remotely.It has the characteristics of simple circuit,high quality and SO on.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMicrocomputer applicationsSame topicAdvanced Sensor and Control SystemsFrench-language works237,207