Beneufit, Inc. (Kentfield, CA)
There aren’t any diagnostic biomarkers for movement disorders to detect the stage of disease or progress rate. Instead neurologists visit patients and conduct a series of subjective tests to determine the severity of a condition and recommend the most appropriate treatment program.
The issue of treatment has been solved. Because of the place of their residence or inability to travel, many people who suffer from movement disorders, such as Parkinson’s disease (PD) do not have access to a specialist. Patients who have access to a neurologist see them no more frequently than once each six-month period. The standard therapy titration process relies on a continuous process of clinical assessments in the office as well as patient visits. For many patients, this lack of contact with their treating physician can mean that they receive inadequate treatment for long periods of time.
Complex medication regimens, daily symptom fluctuations and cognitive issues can make managing the disease a challenge for People (or Person) suffering from Parkinson’s (PwP) as well as their caregivers. The current objective diagnostic sensors as well as other devices have cost and logistical obstacles. They are marketed to medical professionals and researchers but not PwP who must deal with their illness using inadequate instruments.
Biopharma companies that create medications for specific diseases, such as Tardive Dyskinesia and Parkinson’s dyskinesia must depend on suboptimal outcome metrics such as the Abnormal Involuntary Movement Scale Score (AIMS) and The UnifiedDyskinesia Rating Scale(UDysRS). New drugs that promise promising results have not been cleared due to human error subjectivity, language and cultural issues associated with these scales of rating.
The Unified Parkinson’s Disease Rating Scale (UPDRS) is an instrument that was created to help people with Parkinson’s Disease (also termed PD in this article) as a means to incorporate elements from existing scales in order to offer a complete but efficient and flexiblemeans to measure PD-related disability and impairment. A variety of trial versions were utilized to create the UPDRS. The final version, MDS-UPDRS was officially released. It has four components. They are largely built on existing scales that were modified and reviewed by a committee of experts in the field of movement disorders (Part I, Mentation and Behavior and Mood; part II, Activities of Daily Life Part III, Motor; and Part IV, Complications). The UPDRS is commonly used is used for a variety of purposes, including clinical practice. The UPDRS is a recognized standard in measuring disease progression and also to assess the clinical effectiveness of FDA approved medicines in clinical studies.
Many articles have been published regarding scoring variance using the UPDRS. As with any scale scoring, symptoms vary from rater to. It can be difficult to evaluate the effect of the improvements in medications in clinical trials which cost millions of dollars due to this variation. Interrater reliability (IRR) is being studied and has been found to differ between specialists in movement disorders and other healthcare providers (general neurologists, neurologists with different subspecialties, nurses and non-neurologists and so on.). The International Parkinson’s and Movement Disorder Society has examined the IRR of specialist in the field of movement disorders. In 2004, the International Parkinson’s and Movement Disorder Society published information on the success rates of certification for the motor section of Unified Parkinson’s Disease Rating Scale.
One-half of the two hundred and twenty-six people in this study were able to pass certification on their first try. However the majority of them were able to pass certification by the third attempt. It was evident that North American raters did better than Europeans. Standardized methods for training UPDRS use are necessary to ensure that raters utilize the scale consistently. Raters are the most difficult to train with the least impairment, which makes training particularly important for research into early PD. UPDRS live sessions show that there is always a 1-to-3 point difference in the rating, even with the same patient video.
This disclosure attempts to address these significant technical and medical drawbacks by introducing improved technology as detailed further below, which aims to solve these problems.
In some embodiments, there is provided a method for measuring body movement in the context of movement disorder diseases The system comprises an electronic device that includes at least one processor, and memory for storing executable processor code, that when executed by the at-least one processor, cause the system to execute the steps of receiving a video that comprises an image sequence and identifying at least one object of interest within one or more images and locating feature reference points of at least one of the objects, and generating an electronic movement detection framework within one or more of the images; aligning this virtual motion-detection framework to at least one object of interest in one or more images based at a minimum the part of a feature reference; detecting, in real-time, over the sequence of images at least one single or reciprocating movement of the reference point relative to the framework of virtual movement detection; generating a virtual path following a path of at least one movement detected of the feature reference point studying at least the some of the coordinates of the virtual path or the feature reference point and associating the detected at least one movement with a body movement disorder chosen from a variety of body movement disorders; creating or presenting a disorder status of an individual based on the associated body movement disorder chosen from the plurality of body movement disorders and generating a communication including the information related to the disorder status based upon or including a trend in the status of the disorder.
A few embodiments of the inventive subject matter include methods for measuring body movement during the course of a movement disorder. One instance of the current inventive subject is: receiving the video, which includes a sequence of images; detecting at least one thing of interest in any one or a few of them; then generating and aligning a motion detection frame within one or more images; tracking the course of at least one of the detected movements of the feature detection frame relative to the virtual path; associating the detected movement with a disorder of the body in the many; and then creating or presenting a disorder state for an individual
Certain embodiments may include machine-readable media that includes instructions. When taken into consideration by a computer, will cause it to implement any of the methods described herein.Click here to view the patent on USPTO website.
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