Remote Monitoring System for Parkinson's Disease Diagnosis
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Solution Overview
Problem
Current diagnostic and treatment methods for Parkinson's disease, movement disorders, and chronic pain are limited by their inability to provide remote and efficient data gathering, staging, and monitoring, leading to challenges in early diagnosis, differential diagnosis, and effective treatment planning.
Innovation Solution
The development of web-based systems and methods for remote data gathering, monitoring, and treatment using a web-based interface that communicates via the internet or other remote communication methods, allowing for the collection of biochemical, physical, neurological, and cognitive data, and enabling remote implementation of diagnostic and treatment protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional in-person diagnostic and monitoring methods are used for Parkinson's disease, then direct patient interaction and comprehensive physical examination are possible, but patient access is limited, data collection is time-consuming and costly, and remote monitoring is not feasible
Solution Approach 1:
The patent replaces traditional mechanical in-person examination systems with electronic and web-based systems. Sensors, accelerometers, gyroscopes, and web interfaces substitute for physical patient-physician interaction, enabling remote data collection while maintaining diagnostic capability. This substitution resolves the contradiction by improving patient access through remote monitoring without requiring complex in-person examination infrastructure.
Solution Approach 2:
The patent implements self-administered assessment tools and automated data collection systems where patients independently complete cognitive tests, motor function assessments, and symptom reporting through web interfaces. This self-service approach improves patient access and convenience while reducing the time and resource burden on healthcare providers, effectively resolving the contradiction between ease of operation and system complexity.
2Measurement precision
If comprehensive biochemical, physical, neurological, and cognitive data are collected remotely, then early and accurate diagnosis is facilitated, but data collection infrastructure and communication systems are required
Solution Approach 1:
The patent employs multi-functional web-based platforms and mobile devices that can collect diverse data types (biochemical, physical, neurological, cognitive) through a single integrated system. The web interface serves multiple purposes: patient registration, data collection, transmission, and initial analysis. This universality resolves the contradiction by achieving comprehensive measurement precision without requiring separate complex systems for each data type.
Solution Approach 2:
The patent introduces web servers, mobile applications, and data transmission protocols as intermediaries between patients and healthcare providers. These intermediary systems facilitate accurate remote data collection and transmission, enabling precise diagnosis without direct patient-physician contact. The intermediaries resolve the contradiction by providing the necessary communication infrastructure while maintaining measurement accuracy through standardized data collection protocols.
3Productivity
If frequent and continuous patient monitoring is implemented, then disease progression and treatment efficacy are better tracked, but patient time commitment and system resource requirements increase
Solution Approach 1:
The patent implements periodic monitoring schedules where patients complete assessments at predetermined intervals (e.g., daily, weekly, or monthly) rather than continuous monitoring. This periodic approach maintains monitoring efficiency by capturing disease progression trends while reducing patient time commitment compared to continuous observation. The system automatically schedules and reminders facilitate compliance without requiring constant patient engagement.
Solution Approach 2:
The patent establishes continuous data collection and analysis capabilities through automated web-based systems that continuously monitor patient data, track disease progression, and provide real-time feedback to healthcare providers. This continuity improves monitoring efficiency by eliminating gaps in data collection while the automated nature of the system minimizes additional patient time requirements, as data collection occurs in the background without requiring sustained patient attention.
Data Source
AI summary
This disclosure relates to early diagnosis and assessment tools for Parkinson's disease, movement disorder, neurological disease, and/or chronic pain, designed to drive innovation and to accelerate best Parkinson's disease, movement disorders, neurological disease, and chronic pain research. The present disclosure facilitates improved access to Parkinson's disease, movement disorders, neurological disease, and chronic pain patients along with innovative data capture methods that are designed to leading to improved therapies and assisting in finding a cure for Parkinson's disease, movement disorders, neurological diseases, and/or chronic pain. In addition the present disclosure is broadly applicable as a diagnosis and assessment tool to all movement disorders and many neurological diseases and/or chronic pain.