# US 10,372,975 B2 · Managing mechanical stress in sports participants

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 10,372,975 B2
- Document ID: US10372975B2
- Status: Granted
- Kind: B2
- Application number: 15/232,718
- Filed: 2016-08-09
- Published: 2017-02-16
- Granted: 2019-08-06
- Earliest claimed: 2015-08-10
- Assignees: Catapult Group International Ltd.
- Applicants: Catapult Group International Ltd
- Inventors: Benjamin Peterson; Sarah Wohlman; Emma Beanland
- Web page: https://patentgrep.com/patent/US10372975B2

## CPC

- G06V 40/23: {Recognition of whole body movements, e.g. for sport training}
- A61B 5/1126: {using a particular sensing technique}
- A61B 5/22: Ergometry; Measuring muscular strength or the force of a muscular blow
- A61B 5/4519: {Muscles (measuring muscular strength A61B5/224; using electromyography [EMG] A61B5/389)}
- A61B 5/1118: {Determining activity level}
- A61B 5/6823: {Trunk, e.g., chest, back, abdomen, hip}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 2503/10: Athletes
- A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
- G06F 2218/10: by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A method of predicting the probability of injuries in ice hockey which consists of analysing data from accelerometers and gyroscopes on the torso of a player and assessing the work load of the muscles of the player as an indicator of the probability of injury. One aspect provides a method of predicting the probability of groin injuries in ice hockey which consists of analysing data from accelerometers and gyroscopes on the torso of a player and assessing groin load as an indicator of the probability of groin injury. A second aspect provides method of managing player availability by limiting injuries which consists of analysing data from accelerometers and gyroscopes on the torso of a player and identifying and counting the number of slap shots executed as a means of assessing the player load as an indicator of probability of injury.

## Claims

### Claim 1

A system for managing ice hockey player availability comprising:
player worn torso data loggers including accelerometers and gyroscopes, each torso data logger being affixed to an upper torso region on a respective player's back; and
a computing device adapted to receive data from the accelerometer and gyroscope of each torso data logger, said computing device being programmed to:
analyse the data received from the torso data loggers by identifying a plurality of data points per second in the received data,
to identify and count for each player ice hockey player movements from the data received from each respective torso data logger by calculating features using data points in sub-sections of the data, and using the calculated features to identify and count the ice hockey player movements, and
to measure a work load associated with such movements for each player from the data received from each respective torso data logger,
said computing device also being programmed to display the data as ice hockey player movement metrics.

### Claim 2 (depends on 1)

The system as claimed in claim 1 wherein the ice hockey player movement metrics include skating load, a count of left and right leg strides, groin load, high intensity skating strides, and slap shots.

### Claim 3 (depends on 1)

The system as claimed in claim 1 wherein the computing device is programmed to derive work load of an individual over a period of time from the data received from each torso data logger to assess a probability of injury to the individual.

### Claim 4 (depends on 1)

The system as claimed in claim 1 wherein the computing device is programmed to derive groin load from the data from each torso data logger and assess groin load as an indicator of a probability of groin injury for each player.

### Claim 5 (depends on 1)

The system as claimed in claim 1 wherein the computing device is programmed to identify and count a number of slap shots executed by each player as a means of assessing the player work load as an indicator of probability of injury for each player.

### Claim 6 (depends on 1)

The system as claimed in claim 1, wherein each calculated feature is analyzed by a learning tree algorithm.

### Claim 7 (depends on 6)

The system as claimed in claim 6, wherein the learning tree algorithm comprises a random forest model.

### Claim 8 (depends on 6)

The system as claimed in claim 6, wherein the learning tree algorithm determines whether or not each second of received data represents linear skating.

### Claim 9 (depends on 6)

The method as claimed in claim 6, wherein the learning tree algorithm comprises a random forest model.

### Claim 10 (depends on 6)

The method as claimed in claim 6, wherein the learning tree algorithm determines whether or not each second of received data represents linear skating.

### Claim 11 (depends on 1)

The method as claimed in claim 1, wherein each calculated feature is analyzed by a learning tree algorithm.

### Claim 12

A method for managing ice hockey player availability, the method comprising:
affixing torso data loggers to a plurality of players, each torso data logger comprising an accelerometer and a gyroscope and being affixed to an upper torso region on a respective player's back;
receiving, with a computing device, data from the accelerometer and gyroscope of each torso data logger;
analyzing, with the computing device, the data received for each layer from each respective torso data logger to identify and count ice hockey player movements and to measure a player work load associated with said player movements, wherein:
the data received is analyzed by identifying a plurality of data points per second in the received data,
data points in sub-sections of the data are used to calculate features of the received data, and
the calculated features are used to identify and count the ice hockey player movements; and
displaying, using the computing device, the data as ice hockey player movement metrics.

### Claim 13 (depends on 12)

The method as claimed in claim 12 wherein the ice hockey player movement metrics include skating load, a count of left and right leg strides, groin load, high intensity skating strides, and slap shots.

### Claim 14 (depends on 12)

The method as claimed in claim 12 further comprising deriving from the data received from each torso data logger, with the computing device, player work load of an individual player over a period of time to assess a probability of injury to the individual player.

### Claim 15 (depends on 12)

The method as claimed in claim 12 further comprising deriving from the data received from each torso data logger, with the computing device, groin load and assess groin load as an indicator of a probability of groin injury for each player.

### Claim 16 (depends on 12)

The method as claimed in claim 12 further comprising identifying and counting, with the computing device using the data received from each torso data logger, a number of slap shots executed by each player as a means of assessing the player work load as an indicator of probability of injury for each player.