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Record W7061746117

Respiratory modulation of sternal accelerations

2020· dissertation· en· W7061746117 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typedissertation
Languageen
FieldMaterials Science
TopicEngineering and Material Science Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsSpirometerRespiratory systemTidal volumeRespirationApneaModulation (music)Respiratory rateBreathingVentilation (architecture)
DOInot available

Abstract

fetched live from OpenAlex

Advances in wearable sensors have enabled physiological monitoring in scenarios outside of medical clinics.Two main areas, the cardiovascular and respiratory monitoring, generally require separate devices to analyze their performance.Seismocardiography (SCG) has the potential to monitor both aspects as it records the motion of the chest wall.SCG has been well developed for cardiovascular monitoring, however, there is limited knowledge on the effects of respiration.The objective of this thesis is to characterize how SCG is affected by respiration and how this effect can be used to derive respiratory metrics.50 subjects were recorded at McGill University with an inertial measurement unit on the xiphoid process and a spirometer was used for reference.Three scenarios were examined: the subject at rest, the subject during breath holds when inhaled, and the subject during breath holds when exhaled.Respiration modulation of the signals were explored in three main areas: amplitude modulation, frequency modulation, and baseline wandering.It was found that the SCG amplitude was dependent on respiratory volume in both the rest and apnea states.Baseline modulation and frequency modulation were dependent on inhalation and therefore showed no effects in the apnea state.Respiration Rate was extracted from all methods, with baseline wandering producing a maximum r-squared value of 0.71.The phase of baseline and frequency modulation showed better alignment with inhalation rather than volume.Amplitude modulation had less bias in respiratory phase prediction but higher standard deviation.A high inter-subject variability caused inconsistent results for extracting tidal volume with this method.Hence, no conclusive linear relationship with tidal volume was found.Given some calibration, the respiratory parameters of most subjects could be predicted using SCG.More work should be explored as to why only some subjects display strong correlation while others do not.SCG is a powerful cardiovascular monitoring tool and can potentially be developed into a respiratory monitoring tool to facilitate an integrated, non-invasive cardio-respiratory monitoring system. RSUMLe progrs dans le domaine des capteurs portables a permis une surveillance physiologique dans des scnarios en dehors des cliniques mdicales.La surveillance cardiovasculaire et respiratoire ncessite gnralement des appareils spars pour analyser leurs performances.La sismocardiographie (SCG) a le potentiel de surveiller les deux aspects simultanment en enregistrant les mouvements de la paroi thoracique.Le SCG a t dvelopp pour la surveillance cardiovasculaire, cependant les connaissances sur les effets respiratoires sont limites.L'objectif de cette thse est d'identifier comment le SCG est stimul par la respiration et comment il peut tre utilis pour driver des mesures respiratoires.50 sujets ont t enregistrs l'Universit McGill avec une unit de mesure inertielle sur le processus xiphode, et en mme temps, avec un spiromtre comme rfrence.Trois scnarios ont t examins: d'abord, le sujet au repos, puis le sujet retenant son souffle aprs avoir inhal, et enfin le sujet retenant son souffle aprs avoir expir.L'analyse de la modulation respiratoire des signaux a t faite sur trois caractristiques importantes: la modulation d'amplitude, la modulation de frquence et la variation de la compensation DC.On a t constat que l'amplitude du SCG dpendait du volume respiratoire dans les cas d'un corps au repos et en apne.La modulation de base et la modulation de frquence dpendent eux de l'inhalation et n'ont donc montr aucun effet pour un corps en apne.La Frquence Respiratoire a t extraite travers toutes les mthodes, donnant, avec la prsence de la variation de la compensation DC, un coefficient de dtermination R2 maximale de 0,71.La phase de rfrence et la modulation de frquence ont montr un meilleur alignement avec l'inhalation qu'avec le volume.La modulation d'amplitude avait moins d'erreur systmatique dans la prdiction de la phase respiratoire mais un cart-type plus lev.Avec cette mthode, la variabilit intersubjective leve a cr des difficults pour extraire la capacit pulmonaire totale.Par consquent, aucune relation concluante avec la capacit pulmonaire totale n'a t trouve.Avec un travail continu sur la calibration, les paramtres respiratoires de la plupart des sujets pourraient tre prdits l'aide de SCG.Plus de travail doit tre fourni pour savoir pourquoi seuls certains sujets prsentent une forte corrlation, alors que ce n'est pas le cas pour d'autres sujets.SCG est

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.

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 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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.290
Teacher spread0.250 · 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