Upper limb intention tremor assessment: opportunities and challenges in wearable technology.
Natalia Paredes-Acuna, Daniel Utpadel-Fischler, Keqin Ding and 2 others
PMID 38218890WHAT IT FOUND
Wearable sensors and smartphone tasks can quantify upper limb tremor, but intention tremor remains hard to measure accurately.
Current tools often fail to separate the tremor from the voluntary movement, requiring new algorithms and tasks designed specifically for goal-directed actions.
Key findings
01Intention tremor is difficult to quantify with current methods because its amplitude changes depending on the patient's movement intention, unlike rest or postural tremors.
02Only a minority of reviewed studies focused on intention tremor, and even fewer targeted populations with cerebellar pathology (like MS or ataxia) where this tremor is most prominent.
03Smartphone and tablet-based tasks, such as drawing Archimedes spirals, can distinguish tremor severity and correlate with clinical scores, but their specific link to intention tremor requires further validation.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
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What it does not show
The review notes that many included studies had unclear terminology, often failing to distinguish between different types of kinetic tremor (postural vs. intention). Methodological details, particularly regarding sensor fusion algorithms, were imprecise in many of the reviewed papers. The search was limited to English-language publications and peer-reviewed articles, potentially missing relevant conference proceedings or non-English studies. Most studies focused on Parkinson's disease and Essential Tremor, leaving a significant gap in evidence for intention tremor in conditions like Multiple Sclerosis or cerebellar ataxia.
Declared interests
The authors declared no conflicts of interest. The work was funded by the Institute for Advanced Studies (IAS) at the Technical University of Munich.
The easy way to misread this
Do not assume that a wearable device or smartphone app validated for Parkinson's disease rest tremor will accurately measure intention tremor in your MS or ataxia patients. The review explicitly states that intention tremor is harder to quantify because it overlaps with voluntary movement, and most current tools are not designed to separate these components.