Journal
SENSORS
Volume 21, Issue 13, Pages -Publisher
MDPI
DOI: 10.3390/s21134339
Keywords
artificial neural network; empirical mode decomposition; intrinsic mode functions; pulse tactile player; pulse tactile recorder
Funding
- Ministry of Science and Technology of Taiwan [MOST 108-2221-E-002-161-MY2]
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The newly developed portable interactive human pulse measurement and reproduction system allows users to take arbitrary pulses and experience realistic simulated pulse tactile feedback in real time. Through empirical mode decomposition and artificial neural network training, the system can reproduce high-fidelity pulse tactile vibrations.
Pulse palpation is an effective method for diagnosing arterial diseases. However, most pulse measurement devices use preconfigured pressures to collect pulse signals, and most pulse tactile simulators can only display standard or predefined pulse waveforms. Here, a portable interactive human pulse measurement and reproduction system was developed that allows users to take arbitrary pulses and experience realistic simulated pulse tactile feedback in real time by using their natural pulse-taking behaviors. The system includes a pulse tactile recorder and a pulse tactile player. Pulse palpation forces and vibrations can be recorded and realistically replayed for later tactile exploration and examination. To retain subtle but vital pulse information, empirical mode decomposition was used to decompose pulse waveforms into several intrinsic mode functions. Artificial neural networks were then trained based on intrinsic mode functions to determine the relationship between the driving signals of the pulse tactile player and the resulting vibration waveforms. Experimental results indicate that the average normalized root mean square error and the average R-squared values between the reproduced and original pulses were 0.0654 and 0.958 respectively, which indicate that the system can reproduce high-fidelity pulse tactile vibrations.
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