A BODYSUIT FOR ATHLETES WITH DEEP LEARNING AND IOT-BASED INVESTIGATION AND EVALUATION FOR ANALYZING ATHLETIC HEALTH RECORDS

Abstract

The invention is an advanced athletic bodysuit equipped with integrated IoT-enabled sensors, deep learning algorithms, and a self-charging mechanism to provide real-time monitoring and analysis of an athlete's physiological parameters. The bodysuit is constructed from breathable, biocompatible material incorporating elastane and graphene-integrated nylon, which ensures comfort while providing electrical conductivity and temperature regulation. Embedded sensors continuously measure health metrics such as heart rate, muscle activity, hydration, and motion, while a deep learning system analyzes the data to provide personalized insights and recommendations for performance optimization and injury prevention. The suit features self-charging capabilities using triboelectric nanogenerators and solar cells, ensuring continuous operation. A mobile application allows athletes and coaches to access real-time data, historical records, and receive voice or haptic alerts for necessary actions. The invention aims to enhance athletic performance, prevent injuries, and provide a comprehensive health monitoring solution.

Specification

Description:[013] The following sections of this article will provide various embodiments of the current invention with references to the accompanying drawings, whereby the reference numbers utilised in the picture correspond to like elements throughout the description. However, this invention is not limited to the embodiment described here and may be embodied in several other ways. Instead, the embodiment is included to ensure that this disclosure is extensive and complete and that individuals of ordinary skill in the art are properly informed of the extent of the invention. Numerical values and ranges are given for many parts of the implementations discussed in the following thorough discussion. These numbers and ranges are merely to be used as examples and are not meant to restrict the claims' applicability. A variety of materials are also recognised as fitting for certain aspects of the implementations. These materials should only be used as examples and are not meant to restrict the application of the innovation.
[014] Referring now to the drawings, these are illustrated in FIG. 1, the bodysuit is crafted using a high-performance material, consisting of a blend of elastane and graphene-integrated nylon. This combination provides a comfortable, lightweight, breathable fabric with excellent stretchability and durability. The fabric is: Graphene-Coated: Provides electrical conductivity and helps in embedding sensors seamlessly into the fabric for efficient data acquisition. Moisture-Wicking: The bodysuit actively manages moisture, reducing sweat accumulation, thus preventing skin irritation. Temperature Regulation: Integrated with phase change materials (PCMs), the suit maintains an optimal temperature by absorbing excess body heat during intense activity.
[015] In accordance with another embodiment of the present invention, the suit includes a variety of sensors seamlessly integrated into the fabric. These sensors are capable of measuring parameters such as:
Heart Rate & Heart Rate Variability (HRV)
Electromyography (EMG) for Muscle Activity
Accelerometers for Motion & Impact Analysis
Body Temperature and Hydration Monitoring
Respiratory Rate using Chest Expansion Sensors
Flexible Circuits: The suit has printed flexible circuits that are embedded for data transmission and processing, without hindering athletic activity or movement.
Self-Charging Mechanism: The bodysuit incorporates the following methods to provide continuous power supply:
Triboelectric Nanogenerators: The suit harvests mechanical energy from an athlete's movements to generate electricity.
Solar Cells: Thin, flexible solar panels are embedded in the fabric, enabling the suit to generate power from natural or artificial light.
[016] In accordance with another embodiment of the present invention, the data processing unit collects and preprocesses the sensor data, filtering out noise and ensuring accuracy. The processed data is then analyzed by the machine learning-based diagnosis module, which is trained on a pediatric health dataset. The model uses advanced algorithms, including support vector machines, decision trees, and neural networks, to recognize abnormal patterns and diagnose potential health issues such as fever, dehydration, or respiratory problems. The diagnosis results are then communicated to the caregiver via alerts, and appropriate recommendations are provided.
[017] In accordance with another embodiment of the present invention, the bodysuit includes an embedded communication module, allowing seamless data transfer via Bluetooth, Wi-Fi, or LTE to a connected smart device or cloud-based server. The IoT system integrates all the data collected and continuously updates the athlete's health records as shown in figure 2. The bodysuit leverages a deep learning model deployed on an integrated system or cloud platform to analyze real-time health records.
Pattern Recognition: The deep learning model recognizes patterns related to the athlete's physiological metrics and predicts potential injury risks, hydration needs, fatigue levels, and optimal training intensity.
Personalized Recommendations: The system provides customized training suggestions and physiological assessments based on data-driven insights to help optimize performance and avoid injuries.
[018] In accordance with another embodiment of the present invention, a dedicated mobile app is connected to the bodysuit via IoT. The app provides a user-friendly interface for athletes and coaches, where real-time data, historical health records, performance trends, and personalized recommendations can be viewed.
The bodysuit provides voice alerts through connected earphones or haptic feedback directly through the fabric to inform athletes about necessary actions, such as hydration or reducing intensity.
[019] All athlete health records are stored securely in a cloud database. This allows historical tracking of athlete health data, including performance and recovery metrics, which can be analyzed to derive insights about long-term performance trends.
The bodysuit is designed to evaluate and fine-tune deep learning algorithms in real time. By continuously monitoring sensor performance and algorithm accuracy, the system makes necessary adjustments to ensure the most accurate results.
[020] The suit takes care of every aspect of the athlete's well-being, from fatigue monitoring, injury prevention, to hydration tracking and temperature regulation. The present invention is an advanced athletic bodysuit that leverages deep learning and IoT for real-time monitoring, evaluation, and optimization of athletic health. The self-charging feature, along with specialized characteristics of the fabric, makes the invention a holistic solution for athlete well-being, taking care of every aspect of training, performance, and health. The bodysuit has the potential for further advancements, such as integrating advanced biometric sensors for monitoring additional health indicators like lactate threshold and VO2 max. Future versions could incorporate predictive maintenance features that detect wear and tear in the fabric or embedded circuits, providing alerts to the user to maintain optimal functionality. Moreover, enhanced deep learning models could enable even more precise health analysis and customized training routines, including adaptive coaching features that modify exercise plans in real-time based on an athlete's changing physiological state.
[021] The benefits and advantages that the present invention may offer have been discussed above with reference to particular embodiments. These benefits and advantages are not to be interpreted as critical, necessary, or essential features of any or all of the embodiments, nor are they to be read as any elements or constraints that might contribute to their occurring or becoming more evident.
[022] Although specific embodiments have been used to describe the current invention, it should be recognized that these embodiments are merely illustrative and that the invention is not limited to them. The aforementioned embodiments are open to numerous alterations, additions, and improvements. These adaptations, changes, additions, and enhancements are considered to be within the purview of the invention. , Claims:1. A bodysuit for athletes, comprising:
a high-performance, breathable, biocompatible material comprising a blend of elastane and graphene-integrated nylon, providing electrical conductivity, moisture-wicking properties, and temperature regulation;
Integrated sensors for measuring physiological parameters, including heart rate, heart rate variability (HRV), muscle activity via electromyography (EMG), body temperature, hydration levels, respiratory rate, and motion and impact via accelerometers;
Flexible printed circuits embedded within the fabric for data transmission and processing;
self-charging mechanisms, including: Triboelectric nanogenerators embedded within the fabric to harvest mechanical energy from athlete movements;
Thin, flexible solar cells integrated into the fabric for energy harvesting from natural or artificial light sources.
2. The bodysuit of claim 1, wherein the material further comprises graphene-coated fibers for seamless sensor integration and enhanced data acquisition.
3. The bodysuit of claim 1, further comprising an Internet of Things (IoT) communication module that enables data transfer via Bluetooth, Wi-Fi, or LTE to a connected smart device or cloud-based server.
4. The bodysuit of claim 1, wherein the bodysuit leverages deep learning algorithms deployed on an integrated system or cloud platform to:
Analyze real-time health records; recognize patterns related to physiological metrics, predict injury risks, hydration needs, and fatigue levels;
Provide personalized recommendations for optimal training intensity and injury prevention.
5. The bodysuit of claim 1, further comprising a cloud-based data storage system to securely store athlete health records and enable historical data tracking, trend analysis, and performance evaluation.
6. The bodysuit of claim 1, wherein the fabric incorporates phase change materials (PCMs) to regulate body temperature by absorbing excess heat during intense physical activity.
7. The bodysuit of claim 1, further comprising a system for monitoring and evaluating athletic health metrics across multiple dimensions, including fatigue monitoring, injury prevention, hydration tracking, and temperature regulation.
8. The bodysuit of claim 6, wherein the mobile application is further configured to:
Provide communication between athletes and coaches;
Facilitate real-time training modifications based on athlete's physiological data.
The bodysuit of claim 1, further comprising a rehabilitation mode configured to monitor physiological metrics during injury recovery, providing progress tracking and personalized rehabilitation suggestions.
9. The bodysuit of claim 1, wherein the bodysuit is lightweight, flexible, and designed to minimize interference with athletic movement, allowing for full range of motion during physical activity.
10. The bodysuit of claim 3, further comprising predictive maintenance features to detect wear and tear in the fabric or embedded circuits and provide alerts for necessary maintenance to ensure optimal functionality.

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