Baselight

Basketball Player Injury In Sports Rehabilitation

Biomechanics-Driven AI for Predicting & Rehabilitating Injuries

@kaggle.ziya07_basketball_player_injury_in_sports_rehabilitation

About this Dataset

Basketball Player Injury In Sports Rehabilitation

This dataset captures biomechanical data, injury information, and rehabilitation outcomes of basketball players, based on the study of biomechanical factors that influence injuries in high-intensity sports like basketball. The dataset was created with the goal of understanding how specific motion patterns contribute to injury risk and how targeted rehabilitation strategies can help athletes recover efficiently while reducing the risk of re-injury.

Key Features:
Player Demographics:

Player_ID: Unique identifier for each player.
Age: The player's age at the time of injury.
Height_cm: The player's height in centimeters.
Weight_kg: The player's weight in kilograms.
Position: The player's basketball position (e.g., Guard, Forward, Center).
Injury Information:

Injury_Type: Type of injury sustained (e.g., Ankle Sprain, ACL Tear, Hamstring Strain).
Injury_Severity: Severity of the injury (Mild, Moderate, Severe).
Date_of_Injury: The date the injury occurred.
Injury_Recurrence: Indicates whether the injury recurred after rehabilitation (0: No, 1: Yes).
Biomechanical Motion Data:

knee_angle_deg: The player's knee angle in degrees during basketball movements.
jump_height_cm: The height the player jumped, measured in centimeters.
ankle_flexion_deg: The player's ankle flexion in degrees during motion.
speed_m_s: The player's speed measured in meters per second during gameplay or drills.
reaction_time_ms: The player's reaction time measured in milliseconds during specific tasks.
Rehabilitation Information:

Rehabilitation_Program: Type of rehabilitation program assigned to the player (e.g., Physiotherapy, Strength Training, Balance Training).
Rehabilitation_Time_weeks: Time taken for rehabilitation in weeks.
Rehabilitation_Efficiency_Score: A score (between 0.5 and 1.0) indicating how efficient the rehabilitation was, based on recovery time and performance post-rehabilitation.

Applications:
Injury Prediction: Identifying players who are at a higher risk of sustaining specific types of injuries based on their biomechanics.
Rehabilitation Optimization: Developing individualized rehabilitation plans based on the player’s injury history, biomechanics, and response to treatment.
Performance Monitoring: Tracking biomechanical performance over time to ensure players are fully rehabilitated and to minimize the risk of re-injury.

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