Enhanced Sweat Biosensing Companion Devices and Subsystems

Publication ID: 24-11857313_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Sweat Biosensing Companion Devices and Subsystems,” Published Technical Disclosure No. 24-11857313_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857313_0006_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,313.

Summary of the Inventive Concept

Advanced sweat biosensing companion devices and subsystems that improve the accuracy, speed, and efficiency of analyte detection, addressing limitations of existing non-invasive biosensing technologies.

Background and Problem Solved

The original patent, 'Sweat biosensing companion devices and subsystems,' introduced a method for determining lag time effects while sensing analytes in sweat. However, it had limitations, such as potential sensor drift, environmental interference, and lag time effects. The new inventive concept addresses these limitations by incorporating advanced features, including microfluidic channels, machine learning algorithms, and data fusion techniques, to enhance the accuracy and speed of sweat biosensing.

Detailed Description of the Inventive Concept

The enhanced sweat biosensing companion devices and subsystems comprise a sweat collection module with a microfluidic or nanofluidic channel for continuous or rapid sweat sampling. A sensor array detects multiple analytes in the sweat, and a data processing unit provides chronological assurance of the analyte measurements. The system can be integrated with a wearable sweat collection module featuring a replaceable sweat-absorbing material and a wireless communication module for transmitting analyte data to a remote server. Additionally, a power management system extends battery life, and a calibration module corrects for sensor drift and environmental interference. Machine learning algorithms and data fusion techniques are applied to improve the accuracy of analyte detection and reduce lag time effects.

Novelty and Inventive Step

The new claims introduce significant advancements over the original patent, including the use of microfluidic or nanofluidic channels, machine learning algorithms, and data fusion techniques. These innovations provide improved accuracy, speed, and efficiency in sweat biosensing, making the new inventive concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as electrochemical or optical sensors, or the integration of additional features, such as temperature or humidity control. Variations of the sweat collection module could include different materials or geometries, and the data processing unit could be implemented using different algorithms or architectures.

Potential Commercial Applications and Market

The enhanced sweat biosensing companion devices and subsystems have significant commercial potential in various industries, including athletics, neonatology, pharmacological monitoring, and personal digital health. The market for non-invasive biosensing technologies is growing rapidly, and the new inventive concept's advancements in accuracy, speed, and efficiency position it for success in this market.

Field of Art

Biomedical engineering, specifically non-invasive biosensing technologies with a focus on sweat-based analyte detection and wearable sensor systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or biomedical device designer with expertise in microfluidics, sensor design, data processing, and wearable health monitoring technologies, typically holding a Master's or PhD with 3-5 years of industry or research experience

Obviousness Rationale

A PHOSITA would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core biosensing methodology by applying known techniques in microfluidics, sensor arrays, and data processing to improve sweat analyte detection. The proposed innovations are logical refinements that address inherent limitations in the original patent's approach, utilizing standard engineering problem-solving strategies. The technical variations represent incremental improvements that would be obvious to a skilled practitioner seeking to optimize non-invasive biosensing technologies.

Obvious Combinations & Variations

Source Patent Element
Sensing multiple analytes in different biofluids using multiple sensors
PTD Variation
Implementing microfluidic and nanofluidic channels for continuous sweat sampling with a sensor array
Obviousness Reasoning
A PHOSITA would find it obvious to improve fluid sampling techniques using well-known microfluidic technologies to enhance the original patent's multi-sensor approach, representing a predictable solution to improve sampling efficiency
Source Patent Element
Method of sensing analytes with multiple sensors
PTD Variation
Applying machine learning algorithms to improve analyte detection accuracy and reduce lag time
Obviousness Reasoning
Using machine learning for signal processing and error correction is a known technique in sensor systems, representing an obvious optimization strategy for improving measurement precision
Source Patent Element
Biosensing device for analyte detection
PTD Variation
Adding a wireless communication module and power management system for remote data transmission
Obviousness Reasoning
Integrating wireless communication and power optimization are standard design choices in wearable medical devices, representing predictable technological improvements
Source Patent Element
Simultaneous sensing of multiple analytes
PTD Variation
Implementing a calibration module to correct sensor drift and environmental interference
Obviousness Reasoning
Sensor calibration techniques are well-established in the field, representing an obvious method to improve measurement accuracy and reliability
Source Patent Element
Biosensing method for detecting analytes
PTD Variation
Applying data fusion techniques to combine multiple sensor data streams
Obviousness Reasoning
Data fusion is a standard signal processing technique for improving measurement accuracy, representing an obvious optimization strategy for multi-sensor systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857313 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The proposed enhancements represent predictable technological extensions utilizing standard engineering techniques in microfluidics, sensor design, and data processing, which would be readily apparent to a skilled practitioner in non-invasive biosensing technologies.

Original Patent Information

Patent NumberUS 11,857,313
TitleSweat biosensing companion devices and subsystems
Assignee(s)University of Cincinnati