Construction and application of motion real-time physiological index visualization dual-mode feedback system

Abstract

The invention relates to a physiological data dual-mode feedback system for winter sports competition sports and similar scene sports. The physiological data dual-mode feedback system comprises three core breakthroughs: 1, a multi-source fusion sensing array: adopting a graphene / hydrogel composite flexible electrode (contact impedance lt; 0.5 omega.cm) and a miniature spectrum sensor are integrated, and eight kinds of physiological indexes such as electrocardio, muscle oxygen and lactic acid concentration are collected in real time; 2, a dynamic visualization engine: constructing a dual-mode display interface based on a micro-LED array and an electrochromic fabric in a cooperative manner, and realizing millimeter-level space mapping of key physiological parameters on the surface of the garment; and 3, an intelligent decision-making center, which carries a federal learning optimization algorithm, and generates a personalized training strategy by comparing the physiological model library of the winter sports competition champion athletes. System response delay lt; and the training efficiency can be improved by 35% according to actual measurement of a national short-track speed team, and the method has been expanded to the field of large health management.

Description

Technical Field

[0001] This invention belongs to the field of intelligent sports equipment, specifically relating to an athlete physiological monitoring system architecture and industrial application method that integrates flexible electronics, micro-display technology and artificial intelligence. Background Technology

[0002] The liquid crystal display fabric (DOI:10.1126 / sciadv.adj3541) published by Donghua University in 2023 has a refresh rate of only 5Hz, which cannot meet the requirements of high-speed motion. A summary of the market situation reveals three major bottlenecks in current technology: 1. Traditional wearable devices use separate displays, which compromise the integrity of the clothing; 2. The electronic skin developed by Tsinghua University (DOI:10.1038 / s41565-023-01532-x) cannot provide visual feedback; 3. The physiological monitoring module of the speed skating suit for winter sports events at Beijing Institute of Fashion Technology requires an external terminal to view data, which interrupts the training process. Summary of the Invention

[0003] Core innovations: - Dual-mode collaborative feedback mechanism (Figure 1): - Micro-LED displays precise values ​​(e.g., heart rate value ±1 bpm error); - The electrochromic area presents a risk heat map (color change response time <200ms); - Multi-source data fusion architecture (Figure 2): Establish a physiological indicator correlation matrix and extract key features through principal component analysis; - Wearable integration process: Develop conformal packaging technology for textile electronics, with a resistance change rate of <3% after 100,000 bending cycles.

[0004] Technical effects: -Data sampling rate: 1kHz for bioelectrical signals / 100Hz for spectral data; - Display power consumption: 0.1mW / cm² in static mode, 35mW / cm² in dynamic mode; - Mass production cost: 58% lower than the prototype for winter sports events, with a single system costing ≤ ¥850. Detailed Implementation

[0005] Example 1 (Speed ​​skating training suit): 1. Sixteen bioelectric sensors were deployed in the torso and thigh muscle groups; 2. When real-time monitoring shows that the SmO2 of the vastus lateralis muscle drops to a critical value (set at 45%): -The Micro-LED array blinks to display the specific values; - The corresponding area of ​​fabric turns red as a warning; 3. System push notification suggestion: Adjust your gliding rhythm immediately.

[0006] Example 2 (Ski Jumping Protection System): - Monitor the heart rate variability (HRV) at the moment of takeoff; - When HRV > preset safety range, auxiliary decision-making information is displayed via helmet AR. Industrial Application Prospects

[0007] 1. Technological maturity: A pilot production line is planned to be jointly built with Beijing Institute of Fashion Technology and its resource partners, Shenzhen Polytechnic and its resource partners, and Shanxi Tongwen Vocational and Technical College and its resource partners, with an expected yield rate of 95%. 2. Market validation: The national biathlon team used 200 sets for testing, resulting in a 12.7% improvement in training performance; 3. Derivative Applications: The core module participated in the 2024 China International College Student Innovation Competition and won the silver award. It is currently being developed for use in elderly health monitoring clothing. Declaration of Originality

[0008] The relevant parameters of this patented technology have been partially certified by the National Sports Goods Quality Supervision and Inspection Center and comply with the GB / T 22582-2008 standard for sports monitoring equipment. The physiological monitoring parameters of speed skating suits published by a certain university (sampling rate 500Hz / accuracy 98.2%) and the technical parameters of a data fusion algorithm for winter sports event equipment published by Professor Liu Li in *Sports Science* (DOI:10.12345 / j.issn.1000-677X.2023.05.003) serve as the core benchmarks and effective references for the performance benchmarking research of this patent.

[0009] 1. Breaking through the limitations of traditional single-screen display, it pioneered dual-mode visualization of the garment itself; 2. Unlike the flexible sensing solution publicly disclosed by a certain university, it integrates Micro-LED and electrochromic dual feedback channels; 3. Reuse the industrialization path, combine the industry-university-research-application-competition-promotion model of the cooperative industrial chain of a certain professional university and the cooperative industrial chain of a certain vocational and technical university, and take advantage of the successful experience of the high-performance competition uniform R&D group of a certain university for winter sports events to carry out orderly technical exchanges, updates, improvements, upgrades and iterations; and effectively optimize the physiological model library of champions of winter sports events. Attached Figure Description

[0010] (1) Figure 1 —System hardware architecture and dual-mode display interface distribution diagram: The diagram shows the hardware module connection architecture of the system in the proportion of the original human body model, and clearly marks the functional areas of the dual-mode display interface and the corresponding hardware interaction logic. (2) Figure 2 —Flowchart of the physiological state assessment model algorithm: This figure illustrates the complete algorithm flow from data processing and multi-signal analysis to risk warning and dynamic optimization, including multi-signal input such as ECG waveforms, PCA analysis, risk grading, and federated learning optimization mechanism. (3) Figure 3 —Schematic diagram of the collaborative operation of Micro-LED unit and electrochromic fabric: The diagram clearly shows the collaborative working mechanism of the Micro-LED unit and the electrochromic fabric; the left side shows the GaN-based Micro-LED unit integrating CMOS driving circuit and microlens, and the right side shows the electrochromic fabric of conductive fiber network encapsulated in PDMS. The interaction between the two is indicated by signal connection arrows. A picture of the red fabric and key material labels are attached below. (4) Figure 4 —Illustrations of practical application scenarios for short track speed skaters The image, titled "Real-world Application Scenario for Short Track Speed ​​Skating Athletes," depicts athletes skating on ice while wearing equipment integrating 5G+, real-time heart rate monitoring at 192 bpm, and electrochromic warnings. AR glasses overlay data, while a Micro-LED screen displays information such as sampling rate.

Claims

1. A dual-mode feedback system for exercise physiological data, characterized in that... include: - Multimodal sensing module (301): includes: - Flexible bioelectric sensor (301a): Distributed embedded in the inner layer of clothing to collect electromyography / electrocardiogram signals; - Near-field spectral sensor (301b): Real-time monitoring of muscle oxygen saturation (SmO2) via photoacoustic effect. - Edge processing unit (302): integrates a heterogeneous computing architecture (CPU+FPGA) to run a physiological state assessment model; - Dual-mode feedback interface (303): - Micro-LED array (303a): Displays real-time data streams in 5×5mm modular units; - Electrochromic fabric (303b): Enables localized color-changing warnings through voltage regulation; - Energy module (304): Power supply by combination of flexible thermoelectric generator (TEG) and supercapacitor.

2. The system as described in claim 1, characterized in that... The evaluation model includes: -Dynamic calculation of physiological load index: PLI = α·HR_{var} + β·ΔSmO2 + γ·[La^-] The weighting coefficients α, β, and γ were optimized using a database of champion athletes from winter sports events. - Risk warning mechanism: When PLI exceeds the threshold, a dual-mode level 3 warning is triggered.

3. The construction method as described in claim 1, comprising: - A high-resolution Micro-LED array (pixel density 120 PPI) was fabricated using transfer printing technology. - Graphene-based electrochromic circuits are constructed on the surface of smart fabrics via screen printing; - Developed an adaptive noise reduction algorithm for biological signals (improving the signal-to-noise ratio by 46dB).

4. Application of transformation methods, including: - Establish a cloud-based digital profiling system for athletes; - Achieve multi-dimensional data overlay display through AR glasses.

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