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  4. Portable interactive pulse tactile recorder and player system
 
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Portable interactive pulse tactile recorder and player system

Journal
Sensors
Journal Volume
21
Journal Issue
13
Date Issued
2021
Author(s)
Hsieh T.-C
Wu C.-M
Tsai C.-C
Lo W.-C
Wang Y.-M
Smith S.
SHANA SMITH  
DOI
10.3390/s21134339
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108403047&doi=10.3390%2fs21134339&partnerID=40&md5=08200970df660a9fb2ce78fc7447bac5
https://scholars.lib.ntu.edu.tw/handle/123456789/598994
Abstract
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. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
Artificial neural network
Empirical mode decomposition
Intrinsic mode functions
Pulse tactile player
Pulse tactile recorder
Cell proliferation
Diagnosis
Display devices
Functions
Mean square error
Neural networks
Display standards
Empirical Mode Decomposition
Intrinsic Mode functions
Pulse measurements
Root mean square errors
Tactile exploration
Tactile feedback
Vibration waveforms
Signal processing
heart rate
human
palpation
pressure
pulse rate
touch
Heart Rate
Humans
Neural Networks, Computer
Palpation
Pressure
Pulse
Touch
SDGs

[SDGs]SDG3

Type
journal article

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