Traditional Chinese Medicine Pulse Diagnosis on a Smartphone Using Skin Impedance at Acupoints: A Feasibility Study

Lan, Kun; Litscher, Gerhard; Hung, Te Hsuan

doi:10.3390/s20164618

Cited by 20 publications

(15 citation statements)

References 24 publications

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“…The sampling rate of the PPG data is 25 Hz and the duration of the measurements is five minutes. To detect the pulse wave systolic peak (PWSP), we implemented an algorithm based on an event-related moving average [ 41 ]. Once the pulse wave peaks are identified, peak-to-peak (PP) intervals can then be computed and the power spectrum of the PP tachogram can be obtained.…”

Section: Methodsmentioning

confidence: 99%

An Initial Study on Automated Acupoint Positioning for Laser Acupuncture

Lan

Lee

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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Acupuncture plays an important role in traditional Chinese medicine (TCM) and is one kind of an inexpensive and effective treatment. However, some people might be reluctant to receive acupuncture treatment due to fear of pain. Laser acupuncture, thanks to its painless and infection-free advantages, has recently become an alternative choice to traditional acupuncture. The accuracy of acupuncture point positioning has a decisive influence on the quality of laser acupuncture. In this study, built on top of our prior work, we proposed a low-cost automated acupoint positioning system for laser acupuncture. By integrating several machine learning algorithms and computer vision techniques, we design and implement a robot-assisted laser acupuncture system on top of a smartphone. Our contributions include the following: (a) development of an effective acupoint estimation algorithm with a localization error less than 5 mm; (b) implementation of a smartphone-controlled automated laser acupuncture system with lift-thrust function, as a point-of-care device, that can be used by patients to relieve their symptoms at home.

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Section: Methodsmentioning

confidence: 99%

An Initial Study on Automated Acupoint Positioning for Laser Acupuncture

Lan

Lee

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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“…Furthermore, pulse diagnosis has also been conducted by measuring skin impedance at acupoints using a photoplethysmography sensor, galvanic skin response (GSR), and a smartphone. This was done to diagnose a condition called wiry pulse in TCM with an accuracy of above 90 percent [ 90 ]. Research in areas that combine modern technologies to quantify and validate ancient medicine practices, seem to require multivariate vitals data and its analysis.…”

Section: General Applicationsmentioning

confidence: 99%

Artificial Intelligence Based Body Sensor Network Framework—Narrative Review: Proposing an End-to-End Framework using Wearable Sensors, Real-Time Location Systems and Artificial Intelligence/Machine Learning Algorithms for Data Collection, Data Mining and Knowledge Discovery in Sports and Healthcare

et al. 2021

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With the rising amount of data in the sports and health sectors, a plethora of applications using big data mining have become possible. Multiple frameworks have been proposed to mine, store, preprocess, and analyze physiological vitals data using artificial intelligence and machine learning algorithms. Comparatively, less research has been done to collect potentially high volume, high-quality ‘big data’ in an organized, time-synchronized, and holistic manner to solve similar problems in multiple fields. Although a large number of data collection devices exist in the form of sensors. They are either highly specialized, univariate and fragmented in nature or exist in a lab setting. The current study aims to propose artificial intelligence-based body sensor network framework (AIBSNF), a framework for strategic use of body sensor networks (BSN), which combines with real-time location system (RTLS) and wearable biosensors to collect multivariate, low noise, and high-fidelity data. This facilitates gathering of time-synchronized location and physiological vitals data, which allows artificial intelligence and machine learning (AI/ML)-based time series analysis. The study gives a brief overview of wearable sensor technology, RTLS, and provides use cases of AI/ML algorithms in the field of sensor fusion. The study also elaborates sample scenarios using a specific sensor network consisting of pressure sensors (insoles), accelerometers, gyroscopes, ECG, EMG, and RTLS position detectors for particular applications in the field of health care and sports. The AIBSNF may provide a solid blueprint for conducting research and development, forming a smooth end-to-end pipeline from data collection using BSN, RTLS and final stage analytics based on AI/ML algorithms.

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“…The mobile unit then transmits the data wirelessly to the cloud server. The RAC is predicted with the help of artificial neural networks [9].…”

Section: Information Technology-based Dynamic 'Pulse Sensing' Using An Adapted Smartphonementioning

confidence: 99%

Dynamic Pulse Reaction – Update 2020

Litscher¹

2020

OBM ICM

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The Nogier reflex or reflex auriculo-cardiac (RAC) or the dynamic pulse reaction is a physiological phenomenon that is not generally accepted in conventional medicine. Therefore, evidence-based research in this sub-area is important for auricular medicine as it provides appropriate scientific evidence for better acceptance. In this editorial, a RAC measurement based on a modified smartphone registration and analysis is presented. The contribution is intended to stimulate researchers to continue working in this interesting area.

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Traditional Chinese Medicine Pulse Diagnosis on a Smartphone Using Skin Impedance at Acupoints: A Feasibility Study

Cited by 20 publications

References 24 publications

An Initial Study on Automated Acupoint Positioning for Laser Acupuncture

An Initial Study on Automated Acupoint Positioning for Laser Acupuncture

Dynamic Pulse Reaction – Update 2020

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