Background Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and determine clinically meaningful outcome measures. Over the years, a large variety of algorithms have been published and this review provides an overview of their outcome measures, the concepts of the algorithms, the type and placement of required sensors as well as the investigated patient populations and measurement properties. Methods A systematic search was conducted in MEDLINE, EMBASE, and SCOPUS in October 2019. The search strategy was designed to...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background People with mobility impairments may have difficulties in everyday life motor activities...
Abstract Background People with mobility impairments may have difficulties in everyday life motor ac...
BACKGROUND Recent advances in wearable sensor technologies enable objective and long-term monitor...
BACKGROUND: People with mobility impairments may have difficulties in everyday life motor activiti...
BACKGROUND: People with mobility impairments may have difficulties in everyday life motor activiti...
Introduction: The aim of the present review is to track the evolution of wearable IMUs from their us...
Introduction: The aim of the present review is to track the evolution of wearable IMUs from their us...
The use of wearable motion sensing technology offers important advantages over conventional methods ...
BACKGROUND: Wearable sensor technologies have the potential to improve monitoring in people with mul...
The use of wearable motion sensing technology offers important advantages over conventional methods ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background People with mobility impairments may have difficulties in everyday life motor activities...
Abstract Background People with mobility impairments may have difficulties in everyday life motor ac...
BACKGROUND Recent advances in wearable sensor technologies enable objective and long-term monitor...
BACKGROUND: People with mobility impairments may have difficulties in everyday life motor activiti...
BACKGROUND: People with mobility impairments may have difficulties in everyday life motor activiti...
Introduction: The aim of the present review is to track the evolution of wearable IMUs from their us...
Introduction: The aim of the present review is to track the evolution of wearable IMUs from their us...
The use of wearable motion sensing technology offers important advantages over conventional methods ...
BACKGROUND: Wearable sensor technologies have the potential to improve monitoring in people with mul...
The use of wearable motion sensing technology offers important advantages over conventional methods ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...
Background: Studies aiming to objectively quantify movement disorders during upper limb tasks using ...