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Pressure derived footstep signals are a growing field in biometrics, offering unobtrusive sample collection in comparison to established biometrics, with strong classification accuracy despite the highly variable nature of input instances. As a weak biometric, footsteps obtain lower predictive accuracy than stable alternatives and real world implementation will require reliable, yet flexible, feature...
This paper proposes a colonic peristalsis signal extraction method based on wavelet analysis, and the peristaltic pressure signal of the colon can be effectively separated from the interference signals by using this method. A noninvasive wireless electronic capsule is developed and used in clinical trial, and the parameters of human gastrointestinal (GI) tract under normal physiological state could...
The article is aimed at studying the relationship between arterial blood pressure (ABP) and cerebral oxygen hemoglobin signals to the change of the posture in healthy elderly subjects using wavelet phase coherence (WPCO) analysis. ABP and HbO2 (NIRS) signals of 35 subjects (young group: 19, Age: 24.9; elderly group: 16, Age: 68.9) were acquired from experimental apparatus with continuous recordings...
This study aims to assess the prefrontal functional connectivity using wavelet coherence analysis of cerebral tissue oxyhaemoglobin concentrations (Delta [HbO2]) signals in subjects with cerebral infarction(CI) during the resting state. Continuous recordings of near-infrared spectroscopy (NIRS) signals were gained from the right and left prefrontal lobe in 15 elderly subjects with CI (age: 75.1 ±...
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