Design of wireless physiological measurement systems for patients affected by COPD
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disorder that affects many adults in Canada. Patients affected by such a condition tend to become less active and are at risk of losing functional capacity. Therefore, it is important for them to exercise regularly throughout the year. However, there are some restricting situations, such as cold weather, limited training space and long distance from training centers that may prevent the regular practice of exercise. In those cases, a rehabilitation exercise program at patients’ homes may be a good option. To help these patients remain active, researchers are developing a hardware/software infrastructure for training remote patients via the internet. Since COPD is a disease that can be deadly, 3 key physiological parameters need to be monitored to ensure the safety of the patients: respiratory rate, oxygen saturation and heart rate. The objective of this master’s project was to develop two wireless instruments to measure physiological parameters: a respiratory sensor belt and a pulse oximeter. A series of experiments were carried out to evaluate the performance of the designed instruments. The test results showed these instruments meet the design requirements and are able be used to monitor the COPD patients. This will help patients with COPD stay active all year and ultimately, help maintain their functional capacity and their quality of life. \n \nLa maladie pulmonaire obstructive chronique (MPOC) est un trouble respiratoire chronique qui affecte un grand nombre d’adultes au Canada. Les patients affectés par cette maladie tendent à être moins actifs et risquent de perdre leur capacité fonctionnelle. Par conséquent, il serait \nimportant pour eux de faire de l'activité physique régulièrement. En raison de certaines contraintes, tels que le froid, l’espace d’entraînement limité et l'isolement géographique, la pratique d'activité physique n'est pas toujours possible. Dans ce cas, un programme d’exercices de réhabilitation effectué à domicile pourrait être une bonne solution. Afin d’aider ces patients à \ndemeurer actifs, des chercheurs mettent au point une infrastructure matérielle et logicielle afin d’entraîner ces patients à distance par un lien internet. Puisque la MPOC est une maladie qui peut être mortelle, trois paramètres physiologiques principaux (fréquence respiratoire, la saturation en oxygène et le rythme cardiaque) doivent être surveillés en temps réel pendant \nl'entraînement pour assurer la sécurité des patients. L’objectif de ce projet de maîtrise est de développer deux instruments sans fil pour mesurer ces paramètres physiologiques : une ceinture de détection du rythme respiratoire et une oxymètre de pouls. Des essais ont été effectués pour évaluer la performance de ces instruments. Les résultats des essais ont montré que ces instruments fonctionnent tel que prévu. À l’aide de ces instruments, les patients MPOC pourraient être actifs pendant toute l’année et ainsi maintenir leurs capacités fonctionnelles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".