A Non-Contact Pulse Automatic Positioning Measurement System for Traditional Chinese Medicine

Chen, Ying Yun; Chang, Rong Seng; Jwo, Ko Wen; Hsu, Chien Chin; Tsao, Chu Pang

doi:10.3390/s150509899

Cited by 18 publications

(17 citation statements)

References 16 publications

(18 reference statements)

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“…For example, 83% of physicians in the U.S. have already used various m‐Health techniques to provide patient cares, in which different systems are applied to monitor a variety of physiological signals, such as pulse wave, blood pressure, and body temperature . Among these, human pulse wave has been utilized for thousands of years in Traditional Chinese Medicine (TCM) to predict and prevent diseases at the early stages . Today, the innovations in sensing technologies and utilizations of artificial intelligence have become strong foundations for the possible diagnostics of human pulses to imitate the TCM practice for health assessments without well‐trained, real doctors.…”

Section: Introductionmentioning

confidence: 99%

“…Today, the innovations in sensing technologies and utilizations of artificial intelligence have become strong foundations for the possible diagnostics of human pulses to imitate the TCM practice for health assessments without well‐trained, real doctors. Previously, human pulse waves have been measured using sensors based on different detection mechanisms, such as optics, image processing, acoustics, and pressure means, etc. Among these, active pressure sensors based on the working principles of piezoelectricity or triboelectricity are the more intuitive and sensitive method to detect pulse waves, as these sensors can accurately and directly reflect the weak vibration of the radial artery to better imitate the pulse diagnosis in TCM.…”

Section: Introductionmentioning

confidence: 99%

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Human Pulse Diagnosis for Medical Assessments Using a Wearable Piezoelectret Sensing System

Chu

Zhong

Liu

et al. 2018

Adv Funct Materials

168

128

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Real-time and continuous monitoring of physiological signals is essential for mobile health, which is becoming a popular tool for efficient and convenient medical services. Here, an active pulse sensing system that can detect the weak vibration patterns of the human radial artery is constructed with a sandwich-structure piezoelectret that has high equivalent piezoelectricity. The high precision and stability of the system result in possible medical assessment applications, including the capability to identify common heart problems (such as arrhythmia); the feasibility to conduct pulse palpation measurements similar to well-trained doctors in Traditional Chinese Medicine; and the possibility to measure and read blood pressure.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/adfm.201803413.imitate the TCM practice for health assessments without well-trained, real doctors. Previously, human pulse waves have been measured using sensors based on different detection mechanisms, such as optics, [16,17] image processing, [15,18,19] acoustics, [20] and pressure means, [21][22][23][24][25][26][27][28][29] etc. Among these, active pressure sensors based on the working principles of piezoelectricity [21][22][23][24] or triboelectricity [7,8] are the more intuitive and sensitive method to detect pulse waves, as these sensors can accurately and directly reflect the weak vibration of the radial artery to better imitate the pulse diagnosis in TCM. Several vertical contact-separation and single-electrode triboelectric pressure sensors have been published to detect human motion and physiological signals, with advantages of thin, flexible, and excellent sensitivity. [30] However, vertical contact-separation devices are composed of two separated parts, which increases the difficulty of assembly and operation in practice. Single-electrode triboelectric sensors have been proposed to address this issue but the exposed residual charges on the sensor surface can be easily leaked. Piezoelectret is flexible, lightweight, and have large and stable equivalent piezoelectric coefficient for high sensitivity. [25] Furthermore, sensors based on piezoelectret materials can alleviate the aforementioned issues in triboelectric sensors to detect physiological signals.In this work, we use an active and flexible pulse wave sensing system based on a fluorinated ethylene propylene (FEP)/Ecoflex/FEP sandwich-structured piezoelectret for piezoelectriclike detections. [25,26,31] Several key features are accomplished from the prototype sensing systems: 1) excellent precision and stability capable of differentiating and classifying pulses from different volunteers coupled with the help of big data analyses; 2) the identification of a common heart problem (arrhythmia) from volunteers who were previously diagnosed in hospitals equipped with advanced and bulky electrocardiogram (ECG) setups; 3) the feasibility in recording and revealing the blood pressure using the pulse sensing system instead of a ...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Human Pulse Diagnosis for Medical Assessments Using a Wearable Piezoelectret Sensing System

Chu

Zhong

Liu

et al. 2018

Adv Funct Materials

168

128

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“…e pulse state of radial artery, as one part of the arterial system, has been described in traditional Chinese medicine (TCM) and other related oriental medicine systems. In order to overcome the subjectivity and ambiguity of the traditional description, considerable researches on varying pulse waveform acquisition sensors [19][20][21], pulse waveform preprocessing, and feature extraction [22][23][24] have been carried out recently to measure radial pulse objectively and automatically. Further, the radial artery pulse wave of hypertension has been studied.…”

Section: Introductionmentioning

confidence: 99%

Radial Pulse Wave Signals Combined with Ba‐PWV for the Risk Prediction of Hypertension and the Monitoring of Its Accompanying Metabolic Risk Factors

Zhao

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Our aim was to study whether radial pulse wave signals can improve the risk prediction of incident hypertension and are associated with its concomitant metabolic risk factors beyond the traditional cardiovascular risk factor Ba-PWV. By enrolling 523 Chinese subjects in this study, linear and stepwise regression analysis was performed to assess the association of radial artery pulse wave signals and Ba-PWV with blood pressure and its related metabolic risk factors such as fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and uric acid (UA). The area under the receiver-operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated by risk assessment plot to compare the discriminative ability among models with and without radial artery pulse wave signals. After adjusting related confounding factors, radial artery pulse wave variable h3/h1 was selected as the sensitive influential factor for blood pressure. Moreover, a new model with h3/h1 had a higher AUC than the reference model without it (0.86 vs 0.84; P=0.030). And the NRI and IDI for the new model was 50.0% (P=0.017) and 3.16% (P=0.044), respectively. In addition to Ba-PWV, we found that the decrease of t4, t5, and h5 might be associated with higher FPG, TC, LDL-C, and UA and lower HDL-C. This research might provide a valuable additional tool for remote wearable monitoring of radial artery pulse wave signals in hypertension risk evaluation and management.

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“…In non-contact measurement, the laser displacement sensor is widely used in the fields of reverse engineering and accuracy measurement by virtue of its advantages of high measurement accuracy, wide measurement range, easy integration with a computer to form an intelligent testing system, and ability to conduct online testing at a production site [ 6 ]. Li et al adopted multiple laser displacement sensor arrays to realize the on-line in-situ testing of important parameters of automotive engine cabinets and connecting rods [ 7 , 8 ]; Wang et al applied the laser displacement sensor to the dimension measurement of coaxial holes and then verified by experiment that the new testing method is both rapid and effective [ 9 ]; An automatic measuring system for the dimensions of the internal holes of long-stepped pipes based on the laser displacement sensor was designed [ 10 ]; Chen et al researched a non-contact pulse automatic positioning measurement system for traditional Chinese medicine in combination with the advantages of optical measurement and computer automation [ 11 ]. However, the said research all lacks the error compensation and reconstruction of the data acquired by a laser displacement sensor, resulting in unsatisfactory measurement results.…”

Section: Introductionmentioning

confidence: 99%

A Fast and On-Machine Measuring System Using the Laser Displacement Sensor for the Contour Parameters of the Drill Pipe Thread

Dong

Sun

Chen

et al. 2018

Sensors

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The inconvenient loading and unloading of a long and heavy drill pipe gives rise to the difficulty in measuring the contour parameters of its threads at both ends. To solve this problem, in this paper we take the SCK230 drill pipe thread-repairing machine tool as a carrier to design and achieve a fast and on-machine measuring system based on a laser probe. This system drives a laser displacement sensor to acquire the contour data of a certain axial section of the thread by using the servo function of a CNC machine tool. To correct the sensor’s measurement errors caused by the measuring point inclination angle, an inclination error model is built to compensate data in real time. To better suppress random error interference and ensure real contour information, a new wavelet threshold function is proposed to process data through the wavelet threshold denoising. Discrete data after denoising is segmented according to the geometrical characteristics of the drill pipe thread, and the regression model of the contour data in each section is fitted by using the method of weighted total least squares (WTLS). Then, the thread parameters are calculated in real time to judge the processing quality. Inclination error experiments show that the proposed compensation model is accurate and effective, and it can improve the data acquisition accuracy of a sensor. Simulation results indicate that the improved threshold function is of better continuity and self-adaptability, which makes sure that denoising effects are guaranteed, and, meanwhile, the complete elimination of real data distorted in random errors is avoided. Additionally, NC50 thread-testing experiments show that the proposed on-machine measuring system can complete the measurement of a 25 mm thread in 7.8 s, with a measurement accuracy of ±8 μm and repeatability limit ≤ 4 μm (high repeatability), and hence the accuracy and efficiency of measurement are both improved.

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A Non-Contact Pulse Automatic Positioning Measurement System for Traditional Chinese Medicine

Cited by 18 publications

References 16 publications

Human Pulse Diagnosis for Medical Assessments Using a Wearable Piezoelectret Sensing System

Human Pulse Diagnosis for Medical Assessments Using a Wearable Piezoelectret Sensing System

Radial Pulse Wave Signals Combined with Ba‐PWV for the Risk Prediction of Hypertension and the Monitoring of Its Accompanying Metabolic Risk Factors

A Fast and On-Machine Measuring System Using the Laser Displacement Sensor for the Contour Parameters of the Drill Pipe Thread

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