Comparison of models performance for forecasting of instant Heart Rate and Respiration Rate during incremental exercise
Journal Title: International Journal of Engineering and Science Invention - Year 2017, Vol 6, Issue 8
Abstract
Cardiopulmonary exercise testing (CPET) is a non-invasive method to evaluate cardiopulmonary system’s capacity. It provides fitness relevant & disease preventive information and used for measuring physical fitness of pre-employment & sports persons. In incremental exercise protocol, the level of physical stress increase periodically. So in later stages of incremental exercise, an amount of stress level may overload cardiac functions and create critical situations. This paper proposed two models for forecasting instantaneous values of Heart rate (HR) and Respiration rate (RR) by prematurely ending the test, which reduces physical stress and time of a test. We have implemented two models, which are (1) ARMAX (Auto Regressive Moving average with exogenous input) and (2) Adaptive model. We have tested the performance of models on 20 subjects and comparison of result found that ARMAX model is most suitable for forecasting of instant HR and RR during incremental Exercise.
Authors and Affiliations
Mitul B. Patel, Dr. Vipul A. Shah
Keywords
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- EP ID EP403289
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