Methods and apparatus for analyzing and providing feedback of training effects, primary exercise benefits, training status, balance between training intensities and an automatic feedback system and apparatus for guiding future training

Abstract

A method, device and a computer program product for determining a training load distribution of a user is provided. Heart rate is continuously measured by a heart rate sensor. An aerobic training effect and load are calculated using intensity values and divided into categories of Aerobic Low and Aerobic High. An anaerobic training effect and load are calculated using determined characteristics related to high intensity periods of an exercise.

1 . A wearable electronic device configured to be worn by a user, the device comprising:
 a display,   a memory including historical user information;   a heart rate sensor configured to generate a photoplethysmography signal; and   a processor coupled with the display, memory, and the heart rate sensor, the processor configured to-
 calculate exercise intensity information using heart rate information associated with the photoplethysmography signal, 
 determine each of an aerobic training load, and aerobic training effect, an anaerobic training load, and an anaerobic training effect using the exercise intensity information and the historical user information, 
 identify intensity categories of aerobic low, aerobic high, and anaerobic based on the determined training loads and effects, wherein the category aerobic high involves a higher heart rate than the category aerobic low and does not belong in the category of anaerobic, and 
 control the display to present an indication of the identified intensity categories. 
   
     
     
         2 . The device of  claim 1 , wherein the electronic device is selected from the group consisting of a smartwatch, a wrist-top computer, and a mobile phone. 
     
     
         3 . The device of  claim 1 , wherein the electronic device further includes a GPS receiver configured to generate location information and the processor is coupled with the GPS receiver and configured to-
 calculate performance information using the location information, and   calculate the exercise intensity information using the heart rate information and the performance information.   
     
     
         4 . The device of  claim 1 , wherein the historical user information includes fitness level data and heart rate data for the user. 
     
     
         5 . The device of  claim 1 , wherein the processor is configured to update the historical user information stored in the memory based on the aerobic training load, the aerobic training effect, the anaerobic training load, and the anaerobic training effect. 
     
     
         6 . The device of  claim 1 , wherein the processor is configured to update the historical user information stored in the memory based on the identified intensity categories. 
     
     
         7 . The device of  claim 1 , wherein the processor is further configured to determine at least one of Recovery, Base, Tempo, Lactate Threshold, VO2 max, Anaerobic capacity and speed metrics using at least one of the aerobic training load, the aerobic training effect, the anaerobic training load, and the anaerobic training effect. 
     
     
         8 . The device of  claim 7 , wherein the processor is configured to control the display to present a visual indication of at least one of the determined metrics. 
     
     
         9 . The device of  claim 1 , wherein the processor is configured to control the display to present a training recommendation based on the identified intensity categories.