Next-Generation Sweat Biosensing Platform
Legal Citation
Summary of the Inventive Concept
A wearable, multi-modal biosensing platform that integrates sweat analysis with machine learning and real-time feedback to provide personalized health monitoring and predictive analytics.
Background and Problem Solved
The original patent, 'Sweat biosensing companion devices and subsystems,' demonstrated the potential of sweat-based biosensing for various applications. However, it was limited by its focus on single-analyte detection and lack of real-time feedback. The new inventive concept addresses these limitations by introducing a multi-modal platform that combines sweat analysis with machine learning, real-time feedback, and personalized health monitoring.
Detailed Description of the Inventive Concept
The next-generation sweat biosensing platform consists of a wearable device with a miniaturized sweat sampling module, a microfluidic analyte detection system, and a machine learning-based algorithm for predicting health status from sweat analyte concentrations. The platform integrates with a cloud-based data analytics system, providing real-time alerts and notifications to users and healthcare professionals based on detected biomarker levels. The system is trained on a dataset of synchronized sweat and physiological parameter measurements, enabling accurate correlations and predictive modeling.
Novelty and Inventive Step
The new claims introduce a paradigm shift in sweat biosensing by integrating machine learning, real-time feedback, and personalized health monitoring. The use of a neural network-based predictive model, real-time algorithm updates, and cloud-based data analytics system provide a novel and non-obvious solution that surpasses the original patent's capabilities.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of graphene-based sweat sensors, smart fabrics, or other wearable form factors. Variations could also involve the integration of additional physiological parameters, such as heart rate or skin conductance, to enhance the platform's predictive capabilities.
Potential Commercial Applications and Market
The next-generation sweat biosensing platform has significant commercial potential in various industries, including athletics, healthcare, and personal digital health. The platform's ability to provide real-time, personalized health monitoring and predictive analytics makes it an attractive solution for individuals, athletes, and healthcare professionals seeking to improve health outcomes and prevent diseases.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biomedical engineering, wearable biosensing technologies, with a focus on non-invasive analyte detection systems and physiological monitoring
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or biotech researcher with expertise in microfluidics, sensor design, machine learning, and data analytics for health monitoring technologies, typically holding a MS or PhD with 3-5 years of industry or research experience
Obviousness Rationale
A PHOSITA would recognize that the PTD's machine learning-enhanced sweat biosensing platform represents a predictable technological progression from the source patent's foundational sweat analyte detection method. The integration of neural network predictive modeling, cloud-based analytics, and real-time feedback are logical extensions of the original patent's multi-analyte sensing approach. These variations represent standard engineering design choices that would be obvious to implement using known machine learning and data processing techniques.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,313 |
|---|---|
| Title | Sweat biosensing companion devices and subsystems |
| Assignee(s) | University of Cincinnati |