Physiological Signal-based Fatigue Monitoring and Prevention System
Legal Citation
Summary of the Inventive Concept
A system utilizing wearable sensors and machine learning algorithms to monitor and predict fatigue in various industries, enabling proactive measures to prevent fatigue-related accidents and improve overall well-being.
Background and Problem Solved
The original patent, 'Pressure injury prevention sensor and decision support tool', primarily focused on preventing pressure ulcers in healthcare settings. However, fatigue is a pervasive issue affecting various industries, including athletics, manufacturing, transportation, and aviation, resulting in decreased productivity, accidents, and compromised safety. The new inventive concept addresses this limitation by applying the core technology to monitor and predict fatigue, thereby reducing the risk of fatigue-related incidents.
Detailed Description of the Inventive Concept
The system comprises a wearable sensor configured to measure physiological signals such as heart rate, skin conductance, and muscle activity. These signals are analyzed using machine learning algorithms to determine a fatigue level. The system can be integrated into various industries, including athletics, manufacturing, transportation, and aviation, to provide real-time fatigue monitoring and alerts. For instance, in athletics, the system can alert coaches and trainers to adjust training regimens, while in manufacturing, it can optimize workflow and schedule regular breaks to minimize fatigue. In transportation and aviation, the system can detect fatigue in drivers and pilots, respectively, and alert them to take rest breaks, ensuring safe operations.
Novelty and Inventive Step
The new claims introduce a novel application of the core technology, shifting from pressure ulcer prevention to fatigue monitoring and prevention. The inventive step lies in the adaptation of the system to accommodate various industries and the integration of machine learning algorithms to analyze physiological signals, enabling proactive fatigue management.
Alternative Embodiments and Variations
Alternative embodiments may include using different types of sensors, such as EEG or EMG, or integrating the system with existing wearables or mobile devices. Variations may include applying the system to other industries, such as construction or logistics, or developing personalized fatigue management plans based on individual physiological profiles.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in various industries, including athletics, manufacturing, transportation, and aviation. The system can be marketed as a fatigue management solution, providing a competitive edge in terms of safety, productivity, and overall well-being. The target market includes industries with high-risk fatigue profiles, as well as companies seeking to improve employee wellness and reduce accidents.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61G7/05769 |
| A | A61 | A61B5/1116 |
| A | A61 | A61B5/447 |
| A | A61 | A61B5/6892 |
| A | A61 | A61B2562/0247 |
| A | A61 | A61B2562/046 |
| A | A61 | A61G2203/44 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical and physiological monitoring technologies, specifically biosensing systems for human health and performance tracking, encompassing wearable sensor technologies, signal processing, and machine learning-based predictive analytics
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or electrical engineer with expertise in sensor design, signal processing, machine learning algorithms, and experience developing physiological monitoring systems with interdisciplinary knowledge of human performance and health tracking
Obviousness Rationale
A PHOSITA would recognize the fundamental similarity between pressure monitoring and fatigue monitoring systems, both involving continuous physiological signal acquisition, machine learning-based predictive analytics, and real-time alerting mechanisms. The core technological framework of sensor-based monitoring, signal processing, and decision support is directly transferable between medical and industrial applications. The variations presented represent predictable extensions of the source patent's core technological approach.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,477 |
|---|---|
| Title | Pressure injury prevention sensor and decision support tool |
| Assignee(s) | CERNER INNOVATION, INC. |