Back to Search
Start Over
Gait cycle spectrogram analysis using a torso-attached inertial sensor
- Source :
- Scopus-Elsevier, EMBC
-
Abstract
- Measurement of gait parameters can provide important information about a person's health and safety. Automatic analysis of gait using kinematic sensors is a newly emerging area of research. We describe a new way to detect walking, and measure gait cadence, by using time-frequency signal processing together with spectrogram analysis of signals from a chest-worn inertial measurement unit (IMU). A pilot study of 11 participants suggests that this method is able to distinguish between walk and non-walk activities with up to 88.70% sensitivity and 97.70% specificity. Limitations of the method include instability associated with manual fine-tuning of local and global threshold levels. © 2012 IEEE.
- Subjects :
- Engineering
Acceleration
Normal Distribution
Monitoring, Ambulatory
Kinematics
Walking
Sensitivity and Specificity
Gait (human)
Inertial measurement unit
medicine
Image Processing, Computer-Assisted
Humans
Computer vision
Sensitivity (control systems)
Gait
Aged
Electronic Data Processing
Models, Statistical
business.industry
Automatic Data Processing
Reproducibility of Results
Signal Processing, Computer-Assisted
Torso
Middle Aged
Biomechanical Phenomena
medicine.anatomical_structure
Gait analysis
Spectrogram
Artificial intelligence
Cadence
business
Algorithms
Software
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier, EMBC
- Accession number :
- edsair.doi.dedup.....afe15539fd238ac8c32b8544be74fbba