artemYs BioEngineering Tool AI

artemYs

A BioEngineering Tool, powered by AI, for personalised athlete performance monitoring and structural analysis of the myoskeletal system.
Its core encapsulates the established knowledge and latest research on Biomechanics & Inverse Dynamics, giving unprecedented insight into the muscle tissue condition.

HOW IT WORKS

Data

Collects 3D sensor data from industry-standard tracking devices

Algorithm

Creates each athlete’s digital twin, by using AI, encapsulating:
– personalized workload zones
– muscle units’ stress loads

Detection

Provides seamless monitoring and early detection alerts

Passport

Wraps all data and insights into each player’s medical ID

COMPETITIVE ADVANTAGE

Workload
Calculation

first to market to establish a robust assessment of the Workload, precisely demarcated in personalized zones

Myoskeletal Analysis

first to market BioEngineering tool, detecting the excessive Stressloads per muscle unit

Predictive
Power

first to market to project +5 days Workload, Stressload and muscle deformation

Ease of
Use

all it needs is tracking sensor data

APPLICATION

Basic

Workload Monitoring
……– Personalised Workload Zones
……– Advanced Metrics
Workload Myoskeletal Monitoring
……– Stress Load

Pro

Basic Tier+
Workload Monitoring
……-Ground Reaction Forces
……-Advanced Metrics
Myoskeletal Monitoring
……– MRI Bioengineering Analysis
Periodic Reporting

Elite

Pro tier+
Exclusive Solutions
Tailored to the Staff needs

WHO IS IT FOR

artemYs effectively delivers for any case where tracking sensors (i.e. vests) are used:

– Team Sports
– Individual Sports & Activity
– Amateur or Professional

Whether you represent a Team or an individual athlete… you are a Training Coach or a Manager, you may contact us for tailored, engineered solutions.

PROVEN RESULTS

Our pilot cases were succesfull at providing risk signals, on a specific time interval. A portion of 75% on the injury incidents were detected, prior to their occurence. All of them, were validated afterwards by the athletes’ condition.

75%
Accuracy of providing risk signals

+/-10
Days Interval to Verify Hypothesis