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Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment
Allison E. Miller
,
Catherine E. Lang
,
Marghuretta D. Bland
,
Keith R. Lohse
Program in Physical Therapy
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Neurosciences
Institute of Clinical and Translational Sciences (ICTS)
Intellectual and Developmental Disabilities Research Center (IDDRC)
Mentorship to Enhance Development in Academia Program
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
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Dive into the research topics of 'Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment'. Together they form a unique fingerprint.
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Keyphrases
Derived Variables
100%
Accelerometry
100%
Upper Limb
100%
Upper Limb Impairment
100%
Wearable Sensors
50%
Clinical Care
33%
Rehabilitation Research
33%
Sensor Variable
33%
Data Processing pipeline
33%
Clinical Practice
16%
Wrist
16%
Longitudinal Cohort Study
16%
Continued Use
16%
Healthcare Settings
16%
Time Use
16%
Prospective Longitudinal Cohort
16%
Data Analysts
16%
One-variable
16%
Data Collector
16%
Sleep Time
16%
Linear Mixed-effects Regression Model
16%
Wearable Data
16%
Sensor Data Processing
16%
Nursing and Health Professions
Accelerometry
100%
Wearables
100%
Data Processing
50%
Cohort Analysis
25%
Clinical Practice
25%
Sleep Time
25%
Medicine and Dentistry
Upper Limb
100%
Accelerometry
100%
Wearable Sensor
40%
Cohort Analysis
10%
Sleep Time
10%
Neuroscience
Wearable Sensor
100%
Sleep Time
25%
Psychology
Mixed Effect Regression
100%