| Unique ID issued by UMIN | UMIN000055851 |
|---|---|
| Receipt number | R000063828 |
| Scientific Title | AI-CPX study |
| Date of disclosure of the study information | 2024/10/16 |
| Last modified on | 2024/10/16 12:10:11 |
Machine learning-based individual estimation of heart rate at anaerobic threshold from cardiopulmonary exercise testing - a large-scale study in cardiovascular and healthy population
AI-CPX study
AI-CPX study
AI-CPX study
| Japan |
patients with cardiovascular diesease and normal subjects
| Medicine in general | Cardiology | Adult |
Others
NO
The aim of this study is to develop a machine learning (ML) approach to predict individualized AT-HR without CPET.
Others
We aimt to reveal important features for predicting AT-HR, which were not used in existing formulas.
heart rate at the level of anaerobic threshold, PeakVO2
Observational
| 8 | years-old | <= |
| 100 | years-old | > |
Male and Female
Patients undergoing cardiopulmonary function tests at Sakakibara Memorial Hospital
Cases where it has been done more than once.
20000
| 1st name | Atsuko |
| Middle name | |
| Last name | Nakayama |
Sakakibara Heart Institute
Department of Cardiology
183-0003
3-16-1, Asahi-Chou, Fuchu-City, Tokyo
0423143111
atsukonakanaka@gmail.com
| 1st name | Atsuko |
| Middle name | |
| Last name | Nakayama |
Sakakibara Heart Institute
Sakakibara Heart Institute
183-0003
3-16-1, Asahi-Chou, Fuchu-City, Tokyo
0423143111
atsukonakanaka@gmail.com
Sakakibara Heart Institute
Grant by Sakakibara Heart Fundation, Pfizer Global Health
Other
Sakakibara Heart Institute
3-16-1, Asahi-Chou, Fuchu-City, Tokyo
0423143111
atsukonakanaka@gmail.com
NO
| 2024 | Year | 10 | Month | 16 | Day |
Unpublished
Enrolling by invitation
| 2021 | Year | 06 | Month | 01 | Day |
| 2021 | Year | 06 | Month | 01 | Day |
| 2021 | Year | 10 | Month | 01 | Day |
| 2025 | Year | 10 | Month | 01 | Day |
None.
| 2024 | Year | 10 | Month | 16 | Day |
| 2024 | Year | 10 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063828