Cardiopulmonary and Cancer Rehabilitation
Bibliographic record
Abstract
For this capstone project we are helping with the first phase of a 4-phase curricular/outreach program designed to train students (undergraduate and graduate in a peer-mentoring fashion) about professional work in Exercise Rehabilitation for Cardiopulmonary and Cancer Patients. Step 1 includes helping to develop the programmatic approach to testing students as a stand-in for clinical patients. This hands-on approach includes participating in the actual clinical equipment, procedures, and logistics used in modern clinical facilities. Because this program is being developmed in an existing laboratory space that is being repurposed as the Cardiopulmonary and Cancer Rehabilitation Laboratory, our work includes curating the procedures, reconfiguring the lab space, and developing/evolving the initial exercise and testing procedures for patient testing. Among the duties undertaken is the configuration of new equipment in the lab, mock using the equipment in simulated exercise classes, and refining the distribution of exercise ergometers to match the evolving protocols within the lab. Moreover, because this lab setting is designed to mimic clinical settings in small regional medical facilities, we are learning the best ways to utilize our small place in the basement of McGill. One specific type of assessment that we are introducing to the lab is a 6-minute-walk-test (6MWT). This assessment is used to determine certain levels of cardiovascular fitness. The 6MWT is a high-quality test for diseased patients with relatively low levels, including our potential future cancer and pulmonary patients. In the lab we will have 3 treadmills, a NuStep, an arm ergometer, rower, a stair stepped, an elliptical trainer, and 2 bike ergometers available for future patients. In addition, there is strength training equipment, and floor space available for stretching and core exercises. For a given exercise session, each patient will participate in 5 different exercise modalities, not including a structured warm-up and cool-down. All of these exercises will be performed while monitored with a state of the art ECG telemetry (radio transmitted to a central computer station), periodic blood pressure measurements, blood oxygen saturation, and a metric of an individual rate of perceived exertion (subjective feelings of effort), in addition to resting vital signs. Each exercise session is completed within a 60-minute rehabilitation time window. Finally, we have been tasked with the development of patient education materials (1-2 page handouts) on medication use, managing signs and symptoms of recurrent disease, etc. Patient materials also include large full color posters for the facility walls. Poster topics include stretching, lifestyle medicine, strength training exercises, and a scale for the rating of perceived exertion. Once the facility and initial phase of the Cardiopulmonary Rehabilitation program is designed, the lab is also going to be configured for the dual application to Cancer Rehabilitation. These dual purposes apply to rural medical settings in that many smaller cardiopulmonary rehab settings are only used for part of a 40-hour work week. Thus, with the shortage of funds for dedicated facilities, cancer patients could use the same facilities as cardiac patients, maximizing the off hours for exercise classes directed to those recovering from a cancer diagnosis. All the while we are also discussing peer-reviewed manuscripts related to these topics of exercise rehabilitation, discussing the scientific process that underpins applications of exercise physiology to clinical settings, and working on professional development topics with our peers and faculty mentor.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.141 | 0.040 |
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".