M L Weidemann1, K Trentzsch1, C Torp1, T Ziemssen2. 1. Zentrum für klinische Neurowissenschaften, Multiple Sklerose Zentrum, Universitätsklinikum Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Deutschland. 2. Zentrum für klinische Neurowissenschaften, Multiple Sklerose Zentrum, Universitätsklinikum Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Deutschland. tjalf.ziemssen@uniklinikum-dresden.de.
Abstract
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.
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.
Entities:
Keywords:
Accelerometry; Big data; Digital medicine; Gait analysis; Wearable
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