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Record W165084630

The LifeShirt: a multi-function ambulatory system monitoring health, disease, and medical intervention in the real world.

2004· article· en· W165084630 on OpenAlexaboutno aff
Paul Grossman

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsAmbulatoryComputer scienceMedicineRemote patient monitoringVital signsIntensive care medicineMedical emergencySurgery
DOInot available

Abstract

fetched live from OpenAlex

Despite advances made in health-related ambulatory monitoring, medical practitioners and researchers have remained seriously constrained in their ability to acquire concurrent assessments of multiple physiological systems, as well as patient reports of symptoms and well being in daily life: Almost all past and current applications have been limited to the registration of a single variable (e.g. the electrocardiogram or blood pressure), and this has resulted in incomplete information about other relevant physiological and environmental factors likely to contribute to disease or its amelioration. Monitoring of multiple physiological functions has been too complicated to achieve and has required special measurement devices that have been unavailable, too expensive, or too cumbersome to effectively employ. Concurrent assessment of pertinent information about patient activities during monitoring has remained difficult to accomplish, although such information is likely to be crucial for the interpretation of physiological findings and patients' perceptions of improvement. The LifeShirt (Vivometrics, Inc., Ventura, CA, U.S.A.) is a multi-function ambulatory device capable of simultaneously monitoring several physiological signals and patient reports of symptoms and well being. The LifeShirt system is an extensible data acquisition and processing platform consisting of a garment, a data recorder, and PC-based analysis software. Sensors in the LifeShirt garment continuously monitor respiration, the electrocardiogram, activity and posture. Other functions are easily plugged into the system, including pulse oximetry, EEG/ EOG measurement, blood pressure, temperature, capnometry and acoustic monitoring. Subjective patient data may also be entered into the LifeShirt recorder, and all data are encrypted and written to a flash memory card. Vivologic(TM) analysis software provides full-disclosure analysis and display of high-resolution waveforms and over 30 derived parameters; the software also produces summary reports for clinical diagnostic purposes. The LifeShirt has been rigorously tested for more than 38,000 hours in 90 studies with 1,750 subjects. The device has received all necessary regulatory approvals and is currently used in leading research institutions throughout the United States, Canada and Europe. Clinical applications include sleep diagnostics, heart disease, pulmonary disorders, cardiopulmonary rehabilitation, early hospital discharge and pre- and post-operative monitoring, human-factors in ergonomics and behavioral medicine.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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 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

Citations103
Published2004
Admission routes1
Has abstractyes

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