A Random Forest Approach for Quantifying Gait Ataxia with Truncal and Peripheral Measurements Using Multiple Wearable Sensors
Version 2 2024-06-06, 07:49
Version 1 2020-01-15, 00:00
journal contribution
posted on 2024-06-06, 07:49 authored by D Phan, N Nguyen, Pubudu PathiranaPubudu Pathirana, M Horne, L Power, D SzmulewiczA Random Forest Approach for Quantifying Gait Ataxia with Truncal and Peripheral Measurements Using Multiple Wearable Sensors
History
Related Materials
- 1.
Location
Piscataway, N.J.Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalJournal
IEEE Sensors JournalVolume
20Pagination
723-734ISSN
1530-437XeISSN
1558-1748Issue
2Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
Categories
Keywords
Science & TechnologyTechnologyPhysical SciencesEngineering, Electrical & ElectronicInstruments & InstrumentationPhysics, AppliedEngineeringPhysicsCerebellar ataxiagaitwalkingentropyprincipal component analysisFFTrandom forestfeature rankingPRINCIPAL COMPONENT ANALYSISPARKINSONS-DISEASESYSTEMSENSITIVITYPARAMETERSWALKINGSPEEDSchool of Engineering4003 Biomedical engineering
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC