Digital Therapeutics Anomaly Detection via Motion Data

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Solution Overview

Problem

Current mechanisms for remotely monitoring patients' physical and psychological states are inadequate, leading to insufficient support and treatment for individuals with medical conditions, especially during times when in-person interactions are restricted, such as during pandemics.

Innovation Solution

A digital therapeutics system that utilizes altitude and motion data from user devices to monitor physical activities, comparing current data to baseline or average activity data to identify anomalies, and employs machine learning models to predict mental and physical states, providing tailored content and alerts for users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional face-to-face monitoring and support mechanisms are used, then patients receive direct human interaction and support, but patients cannot receive adequate support when alone or during pandemics when in-person interactions are restricted

Engineering Contradiction:
Improvereliability of patient supportVSAvoidadaptability to remote monitoring needs
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent replaces mechanical human-to-human interaction systems with an automated digital monitoring system that uses sensors, machine learning models, and digital communication to monitor patient physical and psychological states and provide support, enabling reliable monitoring during pandemics and when patients are alone

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a digital therapeutic application as an intermediary between patients and healthcare providers, using this digital mediator to continuously monitor patient states, detect anomalies, and facilitate communication, thereby maintaining support reliability when direct human interaction is restricted

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If digital therapeutics applications provide interactive features and customized content, then user experience and personalization improve, but the system complexity increases

Engineering Contradiction:
Improveuser experienceVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements machine learning models that automatically analyze sensor data, detect anomalies, and generate personalized content without requiring complex manual configuration, allowing the system to self-adjust and personalize user experience while managing complexity through automation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent dynamically adjusts monitoring parameters, alert thresholds, and content delivery based on individual patient responses and changing conditions, enabling personalized user experience through parameter optimization rather than complex system architecture

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If continuous monitoring of patient physical and psychological states is implemented, then timely detection of anomalies improves, but data processing requirements and system resource consumption increase

Engineering Contradiction:
Improveanomaly detection accuracyVSAvoiddata processing energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements continuous monitoring at a basic level with selective intensive analysis only when anomalies are detected, using baseline comparisons to determine when full analysis is needed, thereby reducing overall data processing energy consumption while maintaining high anomaly detection accuracy

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent pre-processes sensor data into standardized formats and pre-computes baseline values during low-demand periods, preparing data structures in advance to reduce real-time processing requirements when anomaly detection is critical

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11610663B2Method and system for remotely identifying and monitoring anomalies in the physical and/or psychological state of an application user using average physical activity data associated with a set of people other than the user
Publication Date: 2023.03.21 MAHANA THERAPEUTICS INC
  • US11610663B2 patent drawing
  • US11610663B2 patent drawing
  • US11610663B2 patent drawing

AI summary

An application user is granted access to one or more applications that provide the user with information and assistance. Altitude and/or motion data is collected from one or more devices associated with the user, and the device altitude and/or motion data is utilized to identify physical activities being performed by the user. The device altitude and/or motion data is further analyzed to determine physical activity count data, physical activity speed, velocity, and/or acceleration data, and physical activity length data. The physical activity data is then analyzed to identify and monitor changes or anomalies in the physical and/or psychological state of the user using average physical activity data. Upon identification of changes or anomalies in the user's physical and/or psychological state, one or more actions are taken to assist the user.