Signal trimming and false positive reduction of post-segmentation swallowing accelerometry data
A technology of false positives and vibration data, applied in image data processing, diagnostic recording/measurement, informatics, etc., can solve the problems of expensive, VFSS cannot be executed daily, and achieve the effect of improving classification, reducing quantity, and improving feature extraction
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[0125] The following experimental examples present the development and support of scientific data for the concept of adaptive trimming and / or false positive removal improving the accuracy of automatically segmented accelerometer data.
[0126] Referring to the VFSS, biaxial acceleration signals were collected using a dual-axis accelerometer (ADXL327) with a sensitivity of ±2g from 264 consenting adult participants. The protocol was approved by the research ethics committees of the participating hospitals. Signals are collected via a two-channel custom USB audio interface, each channel including a high-pass filter with a 0.1Hz cutoff (to remove DC or gravity components from the signal) and a low-pass filter with a 3kHz cutoff. The signal for each axis is sampled at 10kHz with 12-bit resolution. Data is stored by a custom LabVIEW program running on a laptop for subsequent offline analysis. Ask participants to perform calibration tasks including resting, coughing, and counting....
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