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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
[Enhancing monitoring of disease progression-remote sensoring in multiple sclerosis]
M L Weidemann1, K Trentzsch1, C Torp1
1Zentrum für klinische Neurowissenschaften, Multiple Sklerose Zentrum, Universitätsklinikum Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Deutschland.
Background:
As a result of innovations in the digitalization of healthcare new technologies, such as remote sensoring are gaining in importance for the collection of real-life data in addition to the regular medical examination. This enables a closer view into the daily lives of patients with multiple sclerosis and a more detailed monitoring of disease progression.
Objective:
This article gives a summary of sensor-based measurement technologies in the field of multiple sclerosis RESULTS: A wide variety of sensor-based measurement technologies are already available, which largely focus on gait analysis and mobility. Furthermore, there are many innovative approaches for a sensor-based collation of the multifocal symptoms of multiple sclerosis, for example technologies focus on the area of stress surveillance, the autonomic nervous system, GPS tracking and sleep monitoring.
Discussion:
Despite the existence of many already available technologies, the aim is now to find a practical way to integrate them into the daily routine of patient monitoring, which includes standardized data collection, evaluation and interpretation. Only at this point a perspective benefit for treating physicians and patients can be achieved.
