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Application of Wearable Sensors for Objective Assessment of Concussion in Sports - An Overview

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The application of wearable sensors revolutionizes concussion assessment in sports, providing objective data on head impacts and enhancing athlete safety.

Medically reviewed by

Dr. Arpit Varshney

Published At December 15, 2023
Reviewed AtDecember 15, 2023

Introduction:

Concussions are a prevalent and concerning injury in sports, with potential short- and long-term consequences for athletes. Timely and accurate diagnosis of concussions is essential for appropriate management and ensuring the safety of athletes. In recent years, wearable sensor technology has emerged as a promising tool for the objective assessment of concussions in sports. These innovative devices can provide valuable data on head impacts and neurological changes, aiding in the detection and monitoring of concussions.

What Are Wearable Sensors?

Wearable sensors, such as accelerometers, gyroscopes, and magnetometers, are small electronic devices that can be attached to an athlete's body or incorporated into protective equipment, such as helmets or mouthguards. These sensors capture and measure various aspects of an athlete's movements, including acceleration, rotation, and linear forces. When it comes to concussions, wearable sensors primarily focus on detecting and quantifying head impacts and related biomechanical data.

What Are the Objective Assessments of Concussions?

  • Impact Detection: Wearable sensors provide real-time monitoring of head impacts during sports activities. By capturing data on the magnitude, direction, and location of impacts, these sensors can help identify potentially dangerous collisions or hits that may lead to concussions. This objective assessment can assist in identifying high-risk situations, evaluating the effectiveness of protective equipment, and guiding injury prevention strategies.

  • Symptom Evaluation: Wearable sensors can also aid in the assessment of concussion symptoms. By monitoring an athlete's movements and physiological responses, these sensors can detect subtle changes in balance, gait, and reaction time that may indicate a concussion. Objective data collected by the sensors can complement subjective self-reporting of symptoms, providing a more comprehensive evaluation of the injury.

  • Return-to-Play Decision Making: The decision to allow an athlete to return to play after a concussion is a critical one. Wearable sensors can play a role in this process by objectively monitoring an athlete's recovery progress. By comparing pre-injury baseline measurements with post-injury data, clinicians can track an athlete's improvement over time and make more informed decisions regarding return-to-play timelines. This objective assessment reduces the reliance on subjective reporting, minimizing the risk of premature return to activity and potential re-injury.

  • Long-Term Monitoring: Concussions have been associated with long-term neurological consequences, such as chronic traumatic encephalopathy (CTE). Wearable sensors can contribute to the long-term monitoring of athletes, tracking head impacts and cumulative exposure over seasons or even entire careers. This data can provide insights into the relationship between head impacts and the risk of long-term brain health issues, aiding in the development of preventive strategies and athlete safety guidelines.

What Are the Different Types of Wearable Sensors to Detect Concussions?

When it comes to detecting concussions, several types of wearable sensors are commonly used. These sensors are designed to capture and measure various aspects of an athlete's movements and impacts. Here are some of the key types of wearable sensors used in concussion detection:

  • Accelerometers: Accelerometers are the most commonly used sensors in concussion detection. They measure acceleration and deceleration forces, providing data on the intensity and direction of impacts. By analyzing these measurements, medical professionals can assess the likelihood of a concussion occurring and evaluate the severity of head impacts.

  • Gyroscopes: Gyroscopes measure rotational movements, including angular velocity and orientation changes. They can detect the rotation of the head and provide information about the rotational forces that may contribute to concussions. Gyroscopes work with accelerometers to provide a more comprehensive picture of head movements and impacts.

  • Magnetometers: Magnetometers measure the strength and direction of magnetic fields. While not as commonly used as accelerometers and gyroscopes in concussion detection, magnetometers can provide additional information about the orientation and movement of the head. They can be useful in capturing subtle rotational movements that may occur during a head impact.

  • Pressure Sensors: Pressure sensors are often incorporated into mouthguards or helmet padding. They can detect changes in pressure and deformation caused by impacts on the head. These sensors can provide valuable information about the force and location of impacts, assisting in assessing concussions.

  • Inertial Measurement Units (IMUs): IMUs combine multiple sensors, such as accelerometers, gyroscopes, and magnetometers, into a single unit. By integrating data from these sensors, IMUs can provide a more comprehensive assessment of head movements, accelerations, and rotations. IMUs are often embedded in headbands, helmets, or other wearable devices.

  • Optical Sensors: Optical sensors use light-based technologies to detect changes in blood flow or cerebral oxygenation in the brain. These sensors can provide insights into the physiological changes associated with concussions, such as alterations in cerebral blood flow or oxygen levels. Optical sensors are typically non-invasive and can be integrated into headbands or caps.

What Are the Benefits of Wearable Sensors in Sports?

The use of wearable sensors for objective assessment of concussions in sports offers several advantages:

  • Objectivity: Wearable sensors provide objective data on head impacts and related biomechanical parameters. This objective assessment reduces the reliance on subjective reporting, minimizing the potential for misinterpretation or underreporting of concussion symptoms. Objective data enhances the accuracy and reliability of concussion assessments, leading to more informed decision-making by medical professionals.

  • Real-time Monitoring: Wearable sensors enable real-time monitoring of head impacts during sports activities. This immediate feedback allows for prompt evaluation and intervention by sideline staff or medical professionals. Real-time monitoring also facilitates the identification of potentially dangerous collisions or hits, enabling timely action to ensure athlete safety.

  • Comprehensive Evaluation: Wearable sensors offer a more comprehensive evaluation of concussions by capturing a range of data, including impact magnitude, direction, location, and related biomechanical parameters. This holistic approach provides a more complete understanding of the injury, allowing medical professionals to assess the severity of concussions and tailor treatment plans accordingly.

  • Long-term Monitoring: Wearable sensors facilitate long-term monitoring of athletes' head impacts and cumulative exposure over seasons or careers. This data can provide insights into the relationship between head impacts and the risk of long-term brain health issues. Long-term monitoring contributes to the development of evidence-based policies, athlete safety guidelines, and preventive strategies aimed at reducing the occurrence and severity of concussions.

What Are the Future Challenges of Wearable Sensors in Sports?

While wearable sensors hold great promise for concussion assessment, several challenges must be addressed for their widespread implementation. Standardizing sensor technologies, data analysis algorithms, and concussion assessment protocols is essential for reliable and valid measurements. Additionally, ensuring the accessibility and affordability of these devices for athletes at all levels is crucial.

Future developments in wearable sensor technology include the integration of additional physiological measurements, such as heart rate variability or brain imaging, to enhance the accuracy and specificity of concussion assessments. Machine learning algorithms and artificial intelligence can also be utilized to improve wearable sensor data's interpretation and predictive capabilities.

Conclusion:

In conclusion, wearable sensors have emerged as a valuable tool for the objective assessment of concussions in sports. They offer advantages such as objectivity, real-time monitoring, comprehensive evaluation, baseline comparisons, long-term monitoring, and contributions to research. However, challenges remain in terms of standardization, sensor accuracy, integration, data interpretation, accessibility, privacy considerations, and education. Addressing these challenges will pave the way for improved concussion management and athlete safety, further enhancing the role of wearable sensors in sports concussion assessment.

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Dr. Arpit Varshney
Dr. Arpit Varshney

General Medicine

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