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Record W2761065081 · doi:10.1109/ihtc.2017.8058179

An integrated biosignals wearable system for low-cost blood pressure monitoring

2017· article· en· W2761065081 on OpenAlexaff
Amnyah Almahouzi, Toka Alnaser, Susanne Tiraci, Yashodhan Athavale, Sridhar Krishnan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWearable computerBlood pressureComputer scienceWirelessNoveltyMeasure (data warehouse)Remote patient monitoringEmbedded systemReal-time computingMedicineTelecommunications

Abstract

fetched live from OpenAlex

The purpose of this research is to design a device that is simple, portable, wireless, and can measure blood pressure accurately. The motivation of this study is to develop a device for people suffering from cardiovascular diseases and hypertension. Specifically, a device that is portable, wireless, and can accurately measure blood pressure. Upon determining their blood pressure, individuals can take preventive measures before serious risk to one's health can occur. The device is designed using the principles of plethysmography and electrocardiography in order to obtain the Pulse Transit Time for blood pressure calculation. The device demonstrates novelty by its light weight, portable size, and low cost. The compact, low-cost design of the proposed system could be implemented and deployed easily in developing nations wherein access to healthcare facilities is limited. This system could also be one of the many systems which measure simple body parameters for monitoring activities of daily life and disease prevention.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.020
GPT teacher head0.255
Teacher spread0.236 · 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.

Study designBench or experimental
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

Citations2
Published2017
Admission routes1
Has abstractyes

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