| Unique ID issued by UMIN | UMIN000042073 |
|---|---|
| Receipt number | R000048014 |
| Scientific Title | Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices |
| Date of disclosure of the study information | 2020/10/11 |
| Last modified on | 2023/04/14 15:02:06 |
Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices
Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices
Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices
Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices
| Japan |
Heart failure, Arrhythmia
| Cardiology |
Others
NO
prediction of heart failure and arrhythmia
Efficacy
Onset of heart failure
Onset of arrhythmia (atrial fibrillation)
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
Adult patients with heart failure and healthy individuals,20 years old or older
Individual under 20 years
500
| 1st name | Katsuhito |
| Middle name | |
| Last name | Fujiu |
University of Tokyo
Department of Cardiovascular Medicine
113-8655
7-3-1 Hongo Bunkyo-Ku
0338155411
fujiu-tky@umin.ac.jp
| 1st name | Eriko |
| Middle name | |
| Last name | Hasumi |
University of Tokyo
Department of Cardiovascular Medicine
113-8655
7-3-1 Hongo Bunkyo-Ku
0338155411
ehasumi-circ@umin.ac.jp
University of Tokyo
University of Tokyo
Self funding
Japan
SIMPLEX QUANTUM
The University of Tokyo Hospital
7-3-1 Hongo, Bunkyo-ku, Tokyo
0338155411
ethics@m.u-tokyo.ac.jp
NO
| 2020 | Year | 10 | Month | 11 | Day |
Unpublished
Enrolling by invitation
| 2020 | Year | 05 | Month | 23 | Day |
| 2020 | Year | 05 | Month | 23 | Day |
| 2020 | Year | 06 | Month | 01 | Day |
| 2025 | Year | 04 | Month | 30 | Day |
ECG data obtained from adults participants using the single-lead ECG devices, and other clinical information are analyzed and evaluated.
| 2020 | Year | 10 | Month | 11 | Day |
| 2023 | Year | 04 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048014