Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Using Combine Walking and Elastic Band to Decrease Fatigue

Taipei Medical University · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
na
This study is expected to propose an industry-university cooperation research case for the next two years. When cancer patients use ePRO to record subjective fatigue, and smart watches with 4G communication record objective fatigue, they will be given according to the patient's current degree of mild, moderate and severe fatigue. Suffer from 'exercise or activity' advice and lead the implementation of appropriate exercise advice. This study is expected to design aerobic + anaerobic exercise suitable for mild or moderate patients, and use the sensor of the smart watch to monitor the effect of exercise and fatigue. To sum up, the first-year plan is expected to use the established ePRO electronic records, combined with the LINE communication system, to integrate into a "cancer-related fatigue electronic registration and care system"; the second-year plan will integrate objective fatigue classifiers, Establish the exercise care option in the fatigue care system, and use the smart watch to establish a technology record function of the exercise process to help track the fatigue level of cancer patients.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 857656
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive