Safety and Feasibility of Tele-Cardiac Rehabilitation Using Remote Biological Signal Monitoring System: A Pilot Study
Bibliographic record
Abstract
Background: Cardiac rehabilitation (CR) is categorized as a class I recommendation in the guidelines for the management of patients with cardiovascular disease (CVD). However, the penetration rate of outpatient CR is low in Japan. We designed a pilot study to evaluate the safety and feasibility of tele-CR using a remote biological signal monitoring system. Methods: A total of nine patients (median aged 70.0 (66.0 - 76.0) years (male = 6) with CVD who participated in phase II CR for 1 month under the exercise prescription using the cardiopulmonary exercise test (CPET) were analyzed. They participated in the tele-CR program with a remote biological signal monitoring system (Nipro HeartLineTM, Osaka, Japan, and Duranta, Miyagi, Japan) in the CR room and were instructed by the CR staff from a separate room in the hospital. We evaluated the occurrence and degree of remote biological signal monitoring defects as safety evaluation items, i.e., whether the patients could set the remote biological signal monitoring equipment, as a feasibility evaluation item during a 3-month period. We also performed CPET at the baseline and follow-up. Following the 3-month tele-CR program, a total of 122 remote CR programs were performed using the remote biological signal monitoring system. Results: No patient experienced a lack of remote biological signal monitoring during exercise therapy. Significant improvement was noted in the exercise capacity, as assessed using the cardiopulmonary test (from 19.5 (16.7 - 20.2) mL/kg/min to 21.1 (17.3 - 22.8) mL/kg/min, P = 0.01, age ratio from 86% (75-96%) to 99% (78-104%), P = 0.01). One patient required support using the remote biological signal monitoring system, including information technology literacy. Conclusions: This study suggests the safety and feasibility of tele-CR using the remote biological signal monitoring system. However, further investigations are required to explore the suitability, effects, and cost-effectiveness of tele-CR as an alternative to center-based CR in the future.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".