Summary
- Profile Type
- Technology offer
- POD Reference
- TODE20240621006
- Term of Validity
- 24 June 2024 - 24 June 2025
- Company's Country
- Germany
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
- A German university offers a detection method, for determining a neurological condition, that can distinguish between at least two neurological conditions and thus provide an improved diagnosis. The method works with two motion sensors that are attached to the wrists. Automatic recording and visualisation is possible. A prototype is available. Licenses are offered to medical device manufacturers.
- Full Description
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Tremor-related diseases as Parkinson’s disease (PD) and essential tremor (ET) are two of the most common movement disorders. Disease classification is primarily based on clinical criteria and remains challenging. Since both neurological conditions affect the way how a subject moves, precise detection of the motion of a subject, such as his hands and its analysis, in particular in comparison to heathy subjects, has become more and more important in the diagnosis thereof. Smart wearables have become particularly useful for that purpose, as they are readily available and come equipped with sophisticated motion sensors.
The present invention of a German university aims to provide a detection method for determining a neurological condition in a subject (preferably encompassing Parkinson’s Disease (PD) and Essential Tremor (ET)), which can distinguish between at least two neurological conditions and thus provides an improved diagnosis. The method is based on a synchronous and parallel measurement of a motion pattern of a subject with two motion sensors, such as two smart watches, each of them being attached to a subject’s wrist. Based on a two-sided measurement using two motion sensors, during which the subject follows instructions and undergoes a series of movement patterns, high-resolution characteristics of the slowing down (deceleration) of movement and the trembling behavior, including side comparison, are determined using mathematical methods. Based thereon, a clinical-neurological finding for the diagnosis and for an objective analysis of the course of movement restrictions is provided.
The university offers license agreements to medical device manufacturers in the field of sensor-based diagnostics. - Advantages and Innovations
- Improved diagnostics: With the provides method highly specific Parkinson's characteristics may be automatically recorded and visualized for the patient and/or the clinician and can provide a diagnostic decision support with at least 80% accuracy. It enables the generation of an automated examination report by those affected themselves and from home. This report may support an early detection of Parkinson's or another neurological condition and enables objective monitoring of the course of the tremor behaviour and the degree of slowing of movement for the patient and/or clinician.
- Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 3: Good Health and Well-being
- IPR status
- IPR applied but not yet granted
- IPR notes
- Patent application filed in Europe
Partner Sought
- Expected Role of a Partner
- The technology is offered for in-licensing and co-development. The university offers license agreements to medical device manufacturers in the field of sensor-based diagnostics. The partner should make use of the invention as a diagnostic device e.g. for documentation of Parkinson's patients' progress for therapy planning by general practitioners or neurologists.
- Type and Size of Partner
- SME 11-49
- SME 50 - 249
- Big company
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 06001005 - Diagnostics, Diagnosis
- 06001014 - Neurology, Brain Research
- 06005002 - Sensors & Wireless products
- Market keywords
- 05004005 - Diagnostic equipment
- 05001007 - Other diagnostic
- 05001001 - Diagnostic services
- Sector Groups Involved
- Health
- Targeted countries
- All countries
