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Tuning Performance
Tuning Performance

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

TIERS

Standard

Personalized Workload Monitoring

  • Athlete-tailored Zones
  • Advanced Engineering Metrics
  • AI-generated GRFs

Myoskeletal Monitoring

  • Muscle-specific Stress Load
  • Muscle-specific Capacity

Pro

Standard +

Personalized Myoskeletal Monitoring

  • Athlete-tailored Model (Avatar)
  • MRI Bioengineering Analysis (1 shot)

Quarterly Reporting

Elite

Pro +

Personalized Myoskeletal Monitoring

  • MRI Bioengineering Analysis (unlimited)

Advanced Quarterly Reporting

  • Delicated Data Scientist, Engineer

Athlete ID

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