Synergistic Power Management for Wearable Devices

Publication ID: 24-11857337_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Power Management for Wearable Devices,” Published Technical Disclosure No. 24-11857337_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857337_0003_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. 11,857,337.

Summary of the Inventive Concept

The inventive concept integrates wearable devices with distinct technologies like AI, IoT, blockchain, and new materials to create a more powerful system for personalized health monitoring and power management.

Background and Problem Solved

The original patent addressed power management for wearable devices, but it had limitations in terms of data security, environmental adaptability, and personalized health recommendations. The new inventive concept overcomes these limitations by synergistically combining wearable devices with AI, IoT, blockchain, and new materials.

Detailed Description of the Inventive Concept

The new system comprises a wearable device with a physiological sensor, an AI-powered processing device, a blockchain-enabled storage device, and an IoT-enabled environmental sensor interface. The AI-powered processing device analyzes user data from the wearable device, environmental data from the IoT-enabled sensor interface, and stored data from the blockchain-enabled storage platform to provide personalized health recommendations and predictions. The system adjusts power consumption based on the user's behavior and environmental conditions, ensuring efficient power management.

Novelty and Inventive Step

The new claims introduce the novel combination of AI, IoT, blockchain, and new materials with wearable devices, providing a synergistic system that offers enhanced data security, environmental adaptability, and personalized health recommendations. This integration is non-obvious and represents a significant improvement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include using different types of sensors, such as GPS or vibration sensors, or integrating the system with other technologies like augmented reality or 5G networks. Variations may also include using different AI algorithms or blockchain platforms to enhance the system's performance and security.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare and wearable device industries, enabling companies to develop more advanced and personalized health monitoring systems. The market for wearable devices is expected to grow significantly in the coming years, and this inventive concept is well-positioned to capitalize on that growth.

Field of Art

Wearable health monitoring technology, encompassing biomedical sensors, data processing systems, and personal health tracking devices with expertise in sensor integration, machine learning, and physiological parameter measurement

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced engineering or computer science background, familiar with sensor technologies, data analytics, machine learning algorithms, and health monitoring system design, typically holding a master's degree or equivalent professional experience in biomedical engineering or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating AI, blockchain, and IoT technologies with existing wearable health monitoring systems represents a predictable evolution of the source patent's core concepts. The fundamental architecture of measuring physiological parameters and processing user data remains consistent, with the PTD introducing incremental technological enhancements that would be apparent to a skilled practitioner. The combination of known technologies to achieve enhanced functionality is a standard approach in developing advanced health monitoring systems.

Obvious Combinations & Variations

Source Patent Element
Processing device configured to analyze user activity and physiological data
PTD Variation
AI-powered processing device analyzing user data with machine learning algorithms
Obviousness Reasoning
Applying machine learning to existing data processing techniques represents a known and predictable improvement in health monitoring technology, with well-established techniques for algorithmic data analysis
Source Patent Element
Memory device for storing user profile and activity information
PTD Variation
Blockchain-enabled storage platform for secure data management
Obviousness Reasoning
Implementing blockchain for data security is a recognized solution for enhancing data protection in personal health monitoring systems, representing a straightforward technological substitution
Source Patent Element
Activity and physiological sensors for monitoring user parameters
PTD Variation
IoT-enabled environmental sensor interface for contextual data integration
Obviousness Reasoning
Expanding sensor ecosystems by incorporating environmental context is a logical and predictable extension of existing sensor technologies, providing additional data points for health monitoring
Source Patent Element
Processing device configured to predict health events
PTD Variation
AI-driven personalized health recommendations using multi-source data analysis
Obviousness Reasoning
Enhancing predictive capabilities through comprehensive data analysis is a natural progression in health monitoring technology, utilizing established machine learning techniques
Source Patent Element
Wearable device with power management capabilities
PTD Variation
Adaptive power consumption using machine learning and environmental data
Obviousness Reasoning
Dynamic power management through intelligent algorithms represents a standard approach to improving device efficiency, utilizing known techniques in sensor and computing technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857337 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The incremental technological enhancements, including AI integration, blockchain storage, and IoT sensor interfaces, represent predictable combinations of known techniques in wearable health monitoring systems, thereby rendering subsequent claims obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,337
TitlePower management for wearable devices
Assignee(s)Tula Health Inc