Wearable Sensor Data Exchange for Parkinson's Disease Monitoring
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Solution Overview
Problem
Current medical systems face challenges in efficiently collecting and sharing objective health data, particularly for individuals with chronic disorders like Parkinson's disease, due to high inter-rater variability, burden on observer resources, and technical and legal barriers in data migration across different medical providers and databases.
Innovation Solution
A framework for creating and sharing multidimensional medical records using wearable devices with sensors like accelerometers and gyroscopes, which collect objective data and allow secure transmission to servers for processing and storage, enabling access by medical practitioners, researchers, and insurance carriers while ensuring privacy and compliance with healthcare laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective testing methods are used for health data collection, then observer resources can be utilized to assess patient conditions, but inter-rater and intra-rater variability increases and measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical/subjective human observation system with an automated sensor-based measurement system. Mobile devices equipped with sensors (accelerometers, gyroscopes, cameras) objectively capture health data without human intervention, eliminating inter-rater and intra-rater variability while maintaining ease of data collection in home environments.
Solution Approach 2:
The system enables patients to self-monitor their health conditions using mobile devices in their home environments. Patients independently collect and transmit health data without requiring observer resources, thereby eliminating variability introduced by different raters while maintaining operational simplicity.
2Adaptability or versatility
If multiple medical providers and databases are involved in health data sharing, then comprehensive data access is improved, but technical and legal barriers increase and device complexity worsens
Solution Approach 1:
The patent introduces a centralized server as an intermediary that receives, standardizes, and manages health data from multiple mobile devices and providers. This central hub handles data integration, permission management, and compliance with healthcare laws (HIPAA, HITECH), simplifying the complexity that would otherwise arise from direct peer-to-peer data sharing among multiple providers and databases.
Solution Approach 2:
The system employs a universal data exchange framework that can interface with multiple different medical providers, databases, and mobile devices through standardized protocols. This multi-functional approach enables comprehensive data sharing across diverse systems without requiring complex custom integrations for each provider, thereby reducing overall system complexity while maintaining versatility.
3Productivity
If health data is collected and stored centrally, then data aggregation and integration are improved, but privacy security risks increase and reliability worsens
Solution Approach 1:
The patent implements preliminary encryption and permission setting before data is transmitted to or stored on the central server. Data is encrypted during collection on mobile devices, and permission protocols are established in advance with patients and providers. This preliminary security measures protect data throughout its journey through the centralized system, maintaining privacy security while enabling efficient data aggregation.
Solution Approach 2:
The centralized server acts as a secure intermediary that manages data storage and access with built-in security protocols. The server implements permission-based access control, audit trails, and compliance with healthcare privacy laws (HIPAA, HITECH). This intermediary structure enables efficient data aggregation while maintaining reliability through professional-grade security measures that would be difficult to implement in distributed systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution reduces inter-rater variability, decreases the administrative burden, and facilitates the aggregation and integration of data for improved clinical outcomes and research, allowing for more effective monitoring and treatment of chronic conditions.
Implementation Method 1
Apple provided hardware within these devices including but not limited to an on-board camera, GPS access, a magnetometer, an accelerometer, time and date data and a gyroscope
Implementation Method 2
Apple provided hardware within these devices including but not limited to an on-board camera, GPS access, a magnetometer, an accelerometer, time and date data and a gyroscope
Implementation Method 3
Apple provided hardware within these devices including but not limited to an on-board camera, GPS access, a magnetometer, an accelerometer, time and date data and a gyroscope
Data Source
AI summary
A suite of components comprising an objective measurement medical data collection device and a cohort database may standardize, simplify, and objectify clinical outcomes tracking, culminating in population health measurements within the restorative neurosciences such as Parkinson disease individuals diagnosed with a disease. A data collection device may comprise one or more of a gyroscope, an accelerometer, a locator, a camera and a magnetometer for collecting, for example, data related to tremors experienced by the individuals diagnosed with disease and receive instruction data responsive to evaluation of the collected data in relation to the cohort database. A related method collects objective measurements during phases of treatment such as preoperative symptomatology, probabilistic atlas linked targeting for neuromodulation, accountancy for gravitational effects of brain shift during surgery, measurements of movement and quality of life during supervised treatment and ongoing community and self-directed treatment and provides feedback to implants, intelligent devices and users thereof.