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This paper presents a method of stride identification, extraction, and analysis of data sets of time-series contact force data for ambulating subjects both with and without Parkinson's disease (PD). This method has been made robust with the use of seeded K-Means clustering, fast Fourier transformation (FFT) spectral analysis, and minimum window size rejection. These methods combine to produce well...
This paper presents a walking-monitoring-shoe (WMS) system capable of simultaneous performing accurate plantar-force measurement and reliable gait-phase detection for continuous monitoring of human walking on treadmill. Based on anatomical information, the WMS employs four strain-gauges embedded in a homemade sole to accurately measure the contact force of the human foot exerted on the shoe-pad, and...
Human foot is a complex musculoskeletal system. As it is impossible to directly measure the force of muscle attaching with limbs, a new quantitative method for dynamics analysis of human ankle muscle forces is presented by using the AnyBody Modeling System and a developed wearable motion and ground reaction force (GRF) sensor system. The sensor system can be used to continuously measure human motion...
This paper aims at development of low cost dynamic foot pressure scanner. To estimate the peak pressure points on the foot sole, a study was conducted on a healthy male group. In all, 8 subjects were placed for observation on EMED (from Novel Inc.) foot mat system at different clinics. The data, thus recorded, was analyzed using Novel-Win-Mask software and it is concluded that, on a single pressure...
The measurement of interface pressure between the foot and shoe is important in gait analysis and other health diagnosis. Abnormal pressure may indicate instability in gait, risks of ulceration development especially in diabetic foot as well as have many other biomedical diagnostic applications. However, the currently available foot pressure sensors show a number of weaknesses that limit their performance...
A test was conducted of a Hercules Orthoflex capacitive sensor used to measure pressure distribution under the foot for gait analysis and sensory substitution. Maximal nonlinearity for the sensor is 16%, and maximal hysteresis is 10% over the pressure range 0 to 1.3 MPa. Seven transducers in each shoe determine the distribution of pressure.<<ETX>>
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