Wearable Health Monitor Integrating Treatment Data
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Solution Overview
Problem
Connected wearable devices often fail to account for user-specific data, particularly treatment information, when monitoring health parameters such as sleep and other health issues, limiting their effectiveness in evaluating treatment efficacy and diagnosing related health issues.
Innovation Solution
A wearable device and system that integrates pathological, biological, and clinical data with biometric data to predict health states in real-time, allowing for communication with other devices to monitor treatment efficacy and facilitate diagnosis of sleep-related issues and neurological disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If connected wearable devices monitor biometric data, then health parameters can be tracked, but user-specific treatment data cannot be accounted for
Solution Approach 1:
The patent combines multiple data sources including biometric sensor data, treatment data, pathological data, and clinical data into a unified monitoring system. This merging allows the device to account for user-specific treatment information while tracking health parameters, resolving the contradiction between measurement precision and information loss.
Solution Approach 2:
The wearable device is designed to perform multiple functions: monitoring biometric data, receiving treatment data, evaluating treatment efficacy, and facilitating diagnosis. This multi-functionality enables the device to handle both general health tracking and specific treatment monitoring simultaneously.
2Adaptability or versatility
If wearable devices collect more data types, then treatment efficacy can be evaluated, but device complexity increases
Solution Approach 1:
The monitoring system is divided into distinct modules: a wearable device for data collection, a communication interface for data transmission, and a processing system for analysis. This segmentation allows each component to handle specific tasks, reducing overall system complexity while maintaining comprehensive treatment evaluation capabilities.
Solution Approach 2:
The patent introduces a communication interface as an intermediary between the wearable sensor and the processing system. This intermediary layer manages data flow and coordination, simplifying the integration of multiple data types while enabling comprehensive treatment efficacy evaluation.
3Productivity
If real-time health state prediction is implemented, then personalized monitoring is enabled, but processing requirements increase
Solution Approach 1:
The system performs preliminary data collection and preprocessing at the wearable device level, preparing data for real-time analysis. This preliminary action reduces the computational burden during real-time processing, enabling personalized monitoring while managing energy consumption.
Solution Approach 2:
The patent implements real-time processing for critical health parameters while using delayed or batch processing for less time-sensitive data analysis. This partial real-time approach maintains productivity for essential monitoring functions while reducing overall processing energy requirements.
Data Source
AI summary
An apparatus for monitoring a user's health and/or sleep and/or the efficacy of a treatment (e.g. a sleep treatment or other type of health treatment) can include use of a wearable electronic device. The device can include an array of sensors for collecting user data. The user data can be used by the device to evaluate criteria related to the user's health to monitor efficacy of a treatment. In addition, or alternatively, the collected data can be transmitted to a central server and/or input/output device for evaluating different criteria for monitoring the user's health and/or sleep as well as the efficacy of a treatment being provided to the user.