Table 6 Summary of methods utilized or emerging to quantify athlete training load to monitor recovery and performance

From: Wearable sensors for monitoring the internal and external workload of the athlete

Method

Used today in sports

Wearables utilized

Metrics

Advantages/disadvantages

Questionnaire

Yes

No

Verbal or written form

Advantage: Easy to conduct

Disadvantage: Highly variable; often inaccurate

Session-rate of perceived exertion

Yes

No

Scale from 1 to 9 detailing intensity of workout. Scale used in conjunction with workout duration to determine load

Advantage: Easy to assess

Disadvantage: Highly variable; often inaccurate

Blood lactate

Yes (emerging)

No

Concentration

Advantage: Used to predict anaerobic threshold (kicks in when exercise is increased and the aerobic system can no longer keep up with the body’s energy system

Disadvantage: Cost, inefficient, time-varying process

Tri-axial accelerometers and GPS

Yes

Yes: Catapult, Zebra

Acceleration, location, and velocity used to compute PlayerLoad (arbitrary unit) to derive ACWR

Advantage: Easy to utilize

Disadvantage: Variability in sensor technology could lead to inaccuracy. Need to develop algorithms to filter noise (e.g. player moving on the sideline compared to on-field performance)

Heart rate

No

Yes: Apple Watch, Fitbit, Polar

Time in HR zones, HRV

Advantage: Easy to collect large data sets for robust analysis

Disadvantage: Variability in sensor technology could lead to inaccuracy. Sensor location attributed to deviations.

Muscle oxygen saturation

No

Yes: Humon Hex

SmO2 levels stratified into workout zones

Advantage: Easy to collect large data sets

Disadvantage: Need for validation of models

Biochemical concentration5,6,7,8

No

No devices used to monitor training load and recovery directly. Indirect measures include monitoring hydration levels and sweat rate

Concentration

Advantage: Insight into the biochemistry of the athlete to predict hypohydration, hyponatremia, and fatigue.

Disadvantage: Technology still developing. Need to develop predictive analytics based on the biochemical profile of the athlete