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There are some studies in the literature in order to make the interpretation of human tissues having different characteristics. Some of these studies focused on the evaluation of human face tissues. Vibration signals generated from vocal cords have been used in these studies about human face tissues. However, any study using the vibration signals r...
Citations
... It also has a 250 Hz low-pass filter, which is switched on by default. The vibration signals are filtered before sampling with an anti-aliasing filter [34]. The sampling frequency of the vibration signals was determined to be 350 Hz in this sample. ...
... The sampling frequency of the vibration signals was determined to be 350 Hz in this sample. The operating range of vibration motor was 20 -200 Hz [4,34]. An oscilloscope was used to set the frequency of DC motor to 160 Hz in the Akdeniz University Faculty of Engineering laboratory. ...
... The same procedure was repeated for MR and ML regions in the same way. [34] The vibration data from the measurement points was separated and passed to the device as x-y-z values using an Arduino Uno R3 and Arduino program. The collected vibration data's x-y-z values were analysed and interpreted. ...
... In this study, the microcontroller-based hardware, which provides vibration excitation at a constant frequency [23] and thermal imaging method, were utilised. Subsequently, 20 subjects were selected from healthy individuals who were clinically diagnosed with a healthy nasal cavity by the medical doctor. ...
Using the vibration signals, the facial tissue characteristics may be utilised for the detection of nasal diseases. In this study, the tissue characteristics were specified by applying constant frequency vibration signals to the facial tissue. The temperature changes caused by an external vibration source applied to the human face were investigated using thermal imaging techniques. Vibrations were applied to the forehead, right cheek, and left cheek regions of the facial tissue. Temperature differences were examined using dynamic and static analyses. Temperature increases of 500, 562, and 606 m°C were acquired in the F region, MR, and ML regions, respectively. While the F region has the lowest soft tissue thickness and temperature difference, the ML region has the highest values. The temperature difference between ML and F regions was acquired as 106 m°C. The temperature distributions of the facial area indicate that the change of the temperature is lower in the regions where the soft tissue thickness is low, and higher in the regions where the soft tissue thickness is high. Therefore, the thickness information about the soft tissue can be provided from the temperature distribution of the facial area after the application of the vibration signal.
