Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies

Mobile gait analysis using wearable inertial measurement units (IMUs) provides valuable insights for the assessment of movement impairments in different neurological and musculoskeletal diseases, for example Parkinson's disease (PD). The increase in data volume due to arising long-term monitori...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2020-07, Vol.24 (7), p.1869-1878
Hauptverfasser:	Ullrich, Martin, Kuderle, Arne, Hannink, Julius, Din, Silvia Del, Gasner, Heiko, Marxreiter, Franz, Klucken, Jochen, Eskofier, Bjoern M., Kluge, Felix
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometer Accelerometry Aged Algorithms Biomedical measurement Diseases Feet Female Foot Fourier Analysis Fourier transform Frequency spectrum Gait Gait - physiology Gait Analysis - methods gyroscope Harmonic analysis Humans Inertial platforms Inertial sensing devices Informatics Legged locomotion Male Middle Aged Monitoring Motion perception Movement disorders Musculoskeletal diseases Neurodegenerative diseases Parkinson Disease - physiopathology Parkinson's disease Parkinson's disease (PD) Robustness Sensitivity Sensitivity and Specificity Signal processing Telemedicine Walking - physiology walking bouts Wearable Electronic Devices
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