Research
Scientific Papers
Exploring the Synergy of AI, Remote Monitoring, IoT, Energy Optimization, and Sustainable Materials in Clinical Research
Disability status and quality of life in multiple sclerosis
Progression in disability as measured by increase in the Expanded Disability Status Scale (EDSS) is commonly used as outcome variable in clinical trials concerning multiple sclerosis (MS). In this study...
Learn MoreSmart watch, smarter EDSS
Patients’ walking ability is critical for assessing the EDSS, the disability scale commonly used in MS clinical practice. Such assessment is usually based on patients’ estimates or on the measures the neurologists observe during periodic visits. quality of life (HRQOL) in MS.
Learn MoreAdherence and Satisfaction of Smartphone- and Smartwatch
Current clinical assessments of people with multiple sclerosis are episodic and may miss critical features of functional fluctuations between visits.
Learn MoreClassification of wearable computing
In the past decade there have been significant advancements in computer technology that have reduced the hardware form factor as well as increased energy efficient computing. Using network protocols for near field communication such as Body Area Networks (BANs).
Learn MoreGait and balance impairment in early multiple sclerosis
This study evaluated the gait and balance performance of two clinically distinct groups of recently diagnosed and minimally impaired multiple sclerosis (MS) patients (Expanded Disability Status Scale range 0-2.5), compared to control subjects.
Learn MoreGait and balance deterioration over a 12-month period
It is not currently known whether gait and balance measures are responsive to deterioration of motor function in multiple sclerosis (MS) patients with low EDSS scores (≤3.0).
Learn MoreObjective physical activity measurement in people with multiple sclerosis
The purpose of this study is to identify the objective physical activity (PA) measurement tools and outputs that are used within Multiple Sclerosis (MS) literature.
Learn MoreAccuracy and precision of smartphone applications
There is increased interest in the application of smartphone applications and wearable motion sensors among multiple sclerosis (MS) patients.
Learn MoreContinuous daily assessment of multiple sclerosis disability using remote step count monitoring
Disability measures in multiple sclerosis (MS) rely heavily on ambulatory function, and current metrics fail to capture potentially important variability in walking behavior.
Learn MorePredicting habitual walking performance in multiple sclerosis
The objective was to establish the extent to which physical functioning capacity and self-report measures are able to predict the habitual walking performance in ambulatory persons with multiple sclerosis.
Learn MoreQuantitative assessment of multiple sclerosis using inertial sensors and the TUG test
Multiple sclerosis (MS) is a progressive neurological disorder affecting between 2 and 2.5 million people globally. Tests of mobility form part of clinical assessments of MS.
Learn MoreAssociation of Continuous Assessment of Step Count by Remote Monitoring With Disability Progression
Disability measures in multiple sclerosis (MS) fail to capture potentially important variability in walking behavior. More sensitive and ecologically valid outcome measures are needed to advance MS research.
Learn MoreWearable technology reveals gait compensations
People with multiple sclerosis (PwMS) often experience a decline in gait performance, which can compromise their independence and increase falls.
Learn MoreTechnologies for Advanced Gait and Balance Assessments
Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS).
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