Nirav Sheth
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View article: Using Accelerometer Signals to Classify Prehensile Hand Movements
Using Accelerometer Signals to Classify Prehensile Hand Movements Open
Prehensile movement is crucial for activities of daily living (ADLs) such as grooming and self-care. In humans, the hand is the primary device utilized for prehensile movements. Recognizing the relationship between a hand's prehensile patt…
View article: Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review Open
Background: The use of mobile devices in clinical research has advanced substantially in recent years due to the rapid pace of technology development. With an overall aim of informing the future use of mobile devices in interventional clin…
View article: Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor
Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor Open
Balance impairment is common in individuals with multiple sclerosis (MS). However, objective assessment of balance usually requires clinical expertise and/or the use of expensive and obtrusive measuring equipment. These barriers to the obj…
View article: Supplementary Material for: Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor
Supplementary Material for: Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor Open
Balance impairment is common in individuals with multiple sclerosis (MS). However, objective assessment of balance usually requires clinical expertise and/or the use of expensive and obtrusive measuring equipment. These barriers to the obj…
View article: Supplementary Material for: Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
Supplementary Material for: Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review Open
Background: The use of mobile devices in clinical research has advanced substantially in recent years due to the rapid pace of technology development. With an overall aim of informing the future use of mobile devices in interventional clin…
View article: Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home
Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home Open
Background: Clinician rating scales and patient-reported outcomes are the principal means of assessing motor symptoms in Parkinson disease and Huntington disease. However, these assessments are subjective and generally limited to episodic …
View article: A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis
A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis Open
Gait speed is a powerful clinical marker for mobility impairment in patients suffering from neurological disorders. However, assessment of gait speed in coordination with delivery of comprehensive care is usually constrained to clinical en…
View article: Monitoring gait in multiple sclerosis with novel wearable motion sensors
Monitoring gait in multiple sclerosis with novel wearable motion sensors Open
BioStampRC sensors accurately and precisely measure gait parameters in PwMS across diverse walking impairment levels and detected differences in gait characteristics by disability level in PwMS. This technology has the potential to provide…