| Title |
Estimation of heart rate recovery time during free-living activities / |
| Translation of Title |
Veiklos nevaržantis širdies ritmo atsistatymo stebėjimas naudojant išmaniąją apyrankę. |
| Authors |
Sokas, Daivaras |
| Full Text |
|
| Pages |
53 |
| Keywords [eng] |
heart efficiency ; physical activity ; photoplethysmography ; wearable device |
| Abstract [eng] |
Cardiac health problems is a leading cause of mortality. Over one fifth of the total deaths in the world are caused by cardiac illnesses. Heart health problems usually develop gradually due to unhealthy behavior and lack of physical activity. A prophylactic, unobtrusive way of measuring heart condition could greatly improve the early detection of cardiac disease. Most of the commonly used tests are only performed clinically under controlled circumstances. Heart efficiency is parameter that determines hearts capability to perform under stress and recover afterwards it is important in clinical studies. Heart rate recovery is an important heart function which is closely associated with heart efficiency. Heart rate recovery is a viable cardiac health assessment method to be integrated into wearable devices. Improvements in unobtrusive measurement could motivate people to take care of their health and help them to monitor progress of fitness. In this study, we will test the ability to assess heart rate recovery parameters from data gathered using wearable device technology. Photoplethysmography will be tested as a possible surrogate to electrocardiogram for heart rate recovery assessment. An algorithm for heart rate recovery extraction from photoplethysmogram and electrocardiogram signals is presented and tested. A database of heart recovery recordings under different physical activity levels has been assembled from 23 people. The performance of electrocardiogram, photoplethysmogram and "Fitbit" provided heart rate signal was tested. Repeatability of parameters have been analyzed for all recording methods. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2018 |
