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Rating of Perceived Exertion with More Accuracy Helps to Control Exercise Intensity

Aug 27, 2021 | By ZHAO Huanhuan,ZHAO Weiwei

A new self-control method of exercise intensity basing on Rating of Perceived Exertion (RPE), which was developed by researchers from Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences, successfully achieved accurate control of exercise intensity without the aid of any equipment.

"Exercise is a good way to prevent and control many chronic diseases, but what matters most is the intensity," said ZHAO Huanhuan, a member of the team, “Some electronic products like ports watches can help to monitor heart rate, but there should be more convenient ways. Current RPE method can roughly determine exercise intensity, but is not accurate enough."

In this research, an accurate conversion model using Gaussian process regression was constructed. Researchers carried out exercise testing among large groups and adjusted indicators such as age, gender, resting heart rate. The predicted value of the model in the test has high correlation with the actual value (R2 =0.95), which can effectively realize the conversion from individual exercise heart rate to perceived exertion rate.

In addition, researchers applied the model to people aged between 23 to 65. The deviation of the actual heart rate from the target heart rate was just ±1.98%, which further confirmed the effectiveness of this method in mass fitness.

"This method realized accurate control of exercise intensity.” Said Zhao. The research results have been applied to exercise intervention of chronic disease in the demonstration bases of HFIPS.

Link to the paper: Modeling the rating of perceived exertion for young and middle-aged people in mainland China

(1) Heart rate curve of one exercise (2) Scatter plot of expected heart rate and actual heart rate 
Verification of the model's effectiveness in free exercise (Image by ZHAO Huanhuan) 

Contact:

ZHAO Weiwei

Hefei Institutes of Physical Science (http://english.hf.cas.cn/)
Email: zhous@hfcas.ac.cn

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