Method and device for assessing exercise fatigue

1. A computer-implemented method for assessing exercise fatigue, wherein the method uses a computer to perform steps comprising:

obtaining exercise heart rates, a resting heart rate and a maximum heart rate of a user;

establishing an exercise load computation model based on the exercise heart rates, the resting heart rate and the maximum heart rate;

calculating a chronic training load (CTL) and an acute training load (ATL) based on the exercise heart rates and the exercise load computation model;

calculating a training stress balance (TSB) based on the CTL and the ATL; and

determining a fatigue level based on the TSB;

wherein the exercise load computation model is: TR=Σ 1 T B*C*T K , wherein TR denotes an exercise load, T denotes the user's continuous exercise time for each time, B=(exercise heart rate−resting heart rate)/(maximum heart rate−resting heart rate), C=P1*e P2*B , P1 is a constant between 0.1 and 0.5, P2 is a constant between 2.5 and 7, and T K is a temperature influence coefficient obtained by querying a temperature influence coefficient table recording multiple influence coefficients of different temperatures om exercise load; the resting heart rate is a heart rate value of the user when the user reaches an extreme exercise state.

2. The computer-implemented method for assessing exercise fatigue as claimed in claim 1 , wherein the TSB is obtained by calculating a difference between the CTL and the ATL.

3. The computer-implemented method for assessing exercise fatigue as claimed in claim 2 , wherein

if a value of the TSB is with an interval [0.1CTL, +ω], the fatigue level is determined to be energetic;

if a value of the TSB is within an interval [−0.4CTL, 0.1CTL), the fatigue level is determined to be appropriate;

if a value of the TSB is within an interval [−0.7CTL, −0.4CTL), the fatigue level is determined to be greater;

if a value of the TSB is within an interval [−ω, −0.7CTL), the fatigue level is determined to be excessive.

4. The computer-implemented method for assessing exercise fatigue as claimed in claim 1 , wherein the exercise load computation model further includes an altitude parameter, and the exercise load computation model is: TR=Σ 1 T B*C*T K *G K , wherein G K is an altitude influence coefficient obtained by querying an altitude influence coefficient table recording multiple influence coefficients of different altitudes on the exercise load.

5. The computer-implemented method for assessing exercise fatigue as claimed in claim 4 , wherein the exercise load computation model further includes an exercise item parameter, and the exercise load computation model is: TR=Σ 1 T B*C*T K *G K *X K , wherein X K is an exercise item influence coefficient obtained by querying an exercise item influence coefficient table recording multiple influence coefficients of different exercise items on the exercise load.

6. A computer readable storage medium, comprising computer programs configured to be executed by a processor to implement the computer implemented method for assessing exercise fatigue according to claim 1 .

7. A device for assessing exercise fatigue, comprising:

a heart rate sensor configured to obtain exercise heart rates, a resting heart rate and a maximum heart rate of a user;

an exercise load computation model based on the exercise heart rates, the resting heart rate and the maximum heart rate;

a computation module configured to calculate a chronic training load (CTL) and an acute training load (ATL) based on the exercise heart rates and the exercise load computation model, and calculate a training stress balance (TSB) based on the CTL and the ATL; and

a matching module configured to determine a fatigue level based on the TSB;

wherein the exercise load computation model is: TR=Σ 1 T B*C*T K , wherein TR denotes an exercise load, T denotes the user's continuous exercise time for each time, B=(exercise heart rate−resting heart rate)/(maximum heart rate−resting heart rate), C=P1*e P2*B , P1 is a constant between 0.1 and 0.5, P2 is a constant between 2.5 and 7, and T K is a temperature influence coefficient obtained by querying a temperature influence coefficient table recording multiple influence coefficients of different temperatures om exercise load; the resting heart rate is a heart rate value of the user when the user reaches an extreme exercise state.

8. The device for assessing exercise fatigue as claimed in claim 7 , wherein the TSB is obtained by calculating a difference between the CTL and the ATL.

9. The device for assessing exercise fatigue as claimed in claim 8 , wherein

if a value of the TSB is with an interval [0.1CTL, +ω], the fatigue level is determined to be energetic;

if a value of the TSB is within an interval [−0.4CTL, 0.1CTL), the fatigue level is determined to be appropriate;

if a value of the TSB is within an interval [−0.7CTL, −0.4CTL), the fatigue level is determined to be greater;

if a value of the TSB is within an interval [−ω, −0.7CTL), the fatigue level is determined to be excessive.

10. The device for assessing exercise fatigue as claimed in claim 7 , wherein the exercise load computation model further includes an altitude parameter, and the exercise load computation model is: TR=Σ 1 T B*C*T K *G K , wherein G K is an altitude influence coefficient obtained by querying an altitude influence coefficient table recording multiple influence coefficients of different altitudes on the exercise load.

11. The device for assessing exercise fatigue as claimed in claim 10 , wherein the exercise load computation model further includes an exercise item parameter, and the exercise load computation model is: TR=Σ 1 T B*C*T K *G K *X K , X K is an exercise item influence coefficient obtained by querying an exercise item influence coefficient table recording multiple influence coefficients of different exercise items on the exercise load.