2018
DOI: 10.3991/ijim.v12i7.9640
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Development of Virtual Pulse Simulation for Pulse Diagnosis Studies

Abstract: Pulse signals can be used to observe the early sign of patients' health problems. From medical researches, monitoring the characteristic of arterial pulse waveform shows some risk indicator of specific diseases, e.g., hypertension, cardiovascular and heart failure diseases. A simple way to get arterial pulse wave is by using fingers to touch the radial artery position on the wrist. In the traditional Chinese medicine, a physician can use the information of arterial pulse wave-form to identify diseases based on… Show more

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Cited by 3 publications
(3 citation statements)
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“…Table 4 illustrates the results of EER and accuracy after applying the steps of the method on the various eye images dataset. [41,42] rate of identification after applying the two mentioned methods to MMU dataset.…”
Section: Results Analysismentioning
confidence: 99%
“…Table 4 illustrates the results of EER and accuracy after applying the steps of the method on the various eye images dataset. [41,42] rate of identification after applying the two mentioned methods to MMU dataset.…”
Section: Results Analysismentioning
confidence: 99%
“…Haptic devices are widely used in various fields such as, but not limited to, medicine, education, research, and training (Wong, et al, 2018). One of the well-known uses of haptic in the medical field is as a training tool for taking pulse and palpation (Kandee, Boonbrahm and Tantayotai, 2018). 3D systems, previously known as SensAble technologies, has developed a wide range of haptic devices, thereby becoming an option for researchers who do not want to develop their own haptic device (3DSystems, 2020a).…”
Section: Choice Of Haptic and Odor Devicesmentioning
confidence: 99%
“…The use of consumer fitness trackers of physical activity was considered as a possible solution [15]. However, proprietary operating systems installed on such devices greatly complicate the process of developing and integrating such platforms into training complexes.…”
Section: Analysis Of Design Features For Mobile Platformsmentioning
confidence: 99%