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Record W7024032631

Réalisation d'un système connecté pour le suivi en temps-réel du rythme cardiaque et de la saturation d'oxygène chez les patients atteints d'arythmie cardiaque

2022· other· fr· W7024032631 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2022
Typeother
Languagefr
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsnot available
Fundersnot available
KeywordsElectrodiagnosisCoronary heart diseaseMedical screening
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : D'après l'agence de la santé publique du Canada, les maladies chroniques sont responsables de 65% de l'ensemble des décès et demeurent la cause principale de tous les décès prématurés. Parmi celles-ci, les maladies du cœur occupent la deuxième place. Les personnes atteintes de maladies chroniques ont besoin d'un suivi régulier de leurs états de santé. Cette nécessité est souvent contrainte par certains facteurs comme les difficultés d'accès aux soins de santé dans les zones reculées, les longs temps d'attentes dans les urgences ou le manque de personnel médical. Ces contraintes d'accès aux soins sont accentuées avec la pandémie de la COVID-19. La mise en place d'un système de santé électronique basé sur l'internet des objets (IoT) constitue une révolution remarquable, qui permet l'acquisition et le suivi des données des patients à distance, en temps-réel, et d'améliorer les services des soins, les traitements et les interventions. Notre projet se concentre sur le développement d'un dispositif portable pour faciliter la surveillance en temps-réel du rythme cardiaque et de la saturation d'oxygène dans le sang (SpO2) avec une application mobile. Il permettra également d'envoyer des alertes par message texte en cas d'arythmie ou de niveau anormal de SpO2 (saturation d'oxygène dans le sang). Deux approches basées sur des systèmes sur puce (SoC) différents ont été adoptées pour la réalisation. La première concerne le calcul rythme cardiaque en se basant sur l'analyse du signal électrocardiogramme (ECG) ou du signal photopléthysmogramme (PPG) en utilisant l'algorithme de Pan et Tompkins. Un prototype est réalisé à la base de la carte Nexys-4 conçue autour du circuit FPGA Artix-7, des capteurs de signaux et d'un module de transmission Bluetooth qui permet d'envoyer le rythme cardiaque mesuré vers une application mobile. La seconde concerne la mesure de la fréquence cardiaque et de la saturation d'oxygène (SpO2) en utilisant un capteur MAX3010x et une carte Heltec WiFi kit 32 comme microcontrôleur. Ce dernier dispose d'un afficheur OLED intégré et des technologies WiFi et Bluetooth pour des communications sans fil. -- Mot(s) clé(s) en français : Télésurveillance, E-santé, Internet des Objets, ECG, PPG, Capteurs connectés, Rythme cardiaque, Saturation d'oxygène, Implantation FPGA. -- \nABSTRACT : According to the Public Health Agency of Canada, chronic diseases account for 65% of all deaths and remain the leading cause of all premature deaths. Of these, heart disease is the second leading cause. People with chronic diseases need regular monitoring of their health. This need is often constrained by factors such as difficulties in accessing health care in remote areas, long waiting times in emergency rooms or lack of medical staff. These constraints to accessing care are accentuated with the COVID-19 pandemic. The implementation of an electronic health system based on the Internet of Things (IoT) is a remarkable revolution, allowing the acquisition and monitoring of patient data remotely, in real time, and improving care services, treatments and interventions. Our project focuses on the development of a wearable device to facilitate real-time monitoring of heart rate and blood oxygen saturation (SpO2) with a mobile application. It will also allow text message alerts to be sent in the event of arrhythmia or abnormal SpO2 (blood oxygen saturation) levels. Two different system-on-chip (SoC) approaches have been adopted for the implementation. The first one concerns the heart rate calculation based on the analysis of the electrocardiogram (ECG) signal or the photoplethysmogram (PPG) signal using the Pan and Tompkins algorithm. A prototype is being built based on the Nexys-4 board designed around the Artix-7 FPGA circuit, signal sensors and Bluetooth transmission module that allows the measured heart rate to be sent to a mobile application. The second is for measuring heart rate and oxygen saturation (SpO2) using a MAX3010x sensor and a Heltec WiFi kit 32 board as the microcontroller. The latter has a built-in OLED display and WiFi and Bluetooth technologies for wireless communications. -- Mot(s) clé(s) en anglais : Remote monitoring, E-health, Internet of things, ECG, PPG, Wearable sensors, Heart rate, Oxygen saturation. FPGA implementation.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
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 head0.004
GPT teacher head0.183
Teacher spread0.179 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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