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Data Analytics of a Wearable Device for Heat Stroke Detection

SENSORS 2018年第12期18卷 4347-4347页

作者： Lin, Shih-Sung Lan, Chien-Wu Hsu, Hao-Yen Chen, Sheng-Tao Natl Def Univ Chung Cheng Inst Technol Dept Elect & Elect Engn 75 Shiyuan Rd Taoyuan 33551 Taiwan

When exercising in a high-temperature environment, heat stroke can cause great harm to the human body. However, runners may ignore important physiological warnings and are not usually aware that a heat stroke is occurring. To solve this problem, this study evaluates a runner's risk of heat stroke injury by using a wearable heat stroke detection device (WHDD), which we developed previously. Furthermore, some filtering algorithms are designed to correct the physiological parameters acquired by the WHDD. To verify the effectiveness of the WHDD and investigate the features of these physiological parameters, several people were chosen to wear the WHDD while conducting the exercise experiment. The experimental results show that the WHDD can identify high-risk trends for heat stroke successfully from runner feedback of the uncomfortable statute and can effectively predict the occurrence of a heat stroke, thus ensuring safety.

关键词： heat stroke filtering algorithm physiological parameters exercise experiment

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An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2021年第4期12卷 382-388页

作者： Singkhamfu, Phudinan Suwansrikham, Parinya Chiang Mai Univ Coll Arts Media & Technol Chiang Mai Thailand

Consumer-Grade global positioning system (GPS) is widely used in many domains. The obvious issue of this consumer-grade device is low accuracy and reading fluctuation results. In terms of using an application that requires a more precise location, the output could be difficult. In this study, the authors deploy various methods to reduce the global positioning system data fluctuation and present field test results. Two main types of the device worked together to collect data from global positioning systems, such as Microcontroller for algorithm processing and presenting data and global positioning system receivers for receiving data from a satellite. We combine three global positioning system modules to received signals in a single device and test calculated data compared with the Kalman filtering methods in many cases, including moving and static devices. Implementing the Standard Kalman Filter to multiple global positioning system Modules has improved the constancy of cheap global positioning system equipment. The experiment algorithm is presented significant improvement to overcome the retrieved data fluctuation problem. This study's contribution will enable creating a cheap global positioning system locator device for various applications that require more accuracy than the standard consumer-grade receiver.

关键词： Global positioning systems accuracy kalman multi global positioning systems global positioning systems pointer global positioning systems enhance filtering algorithm

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Design of Lung Sound Acquisition and Analysis Device 22

Design of Lung Sound Acquisition and Analysis Device

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Proceedings of the 2022 5th International Conference on Telecommunications and Communication Engineering

作者： Hao Huang Wugang Lai Fanqiang Lin College of Mechanical and Electrical Engineering Chengdu University of Technology China

ISBN: (纸本)9781450397797

As a lung examination instrument, lung sound stethoscope has been widely used. However, the results of traditional diagnosis are often affected by stethoscope and doctor's experience. In this paper, a design of lung sound acquisition and analysis device is proposed, which can complete the function of lung sound acquisition and drawing lung sound waveform, provide doctors with intuitive lung sound information, and provide a possibility for the diagnosis of respiratory diseases and quantitative analysis of pathological lung sounds. This device consists of lung sound acquisition terminal, transmission module and Android user terminal. The acquisition terminal can collect the lung sound signal of the patient and transmit it to the Android terminal through the transmission module. Users can perform operations such as audio playback, waveform display, and data storage on the Android terminal. The test results show that the device can realize the acquisition and analysis of 10Hz ∼ 3KHz signal, and achieve the expected experimental effect.

关键词： filtering algorithm Android Lung sound stethoscope Embedded system Separation of heart and lung sounds

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Continuous-time Nonlinear Estimation Filters Using UKF-aided Gaussian Sum Representations

Continuous-time Nonlinear Estimation Filters Using UKF-aided...

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International Conference on Information Fusion

作者： Murat Gokce Mustafa Kuzuoglu Technology and Innovation Funding Programs Directorate The Scientific and Technological Research Council of Turkey Electrical and Electronics Engineering Department Middle East Technical University

ISBN: (纸本)9781479902842

An approximate nonlinear estimation method for continuous-time systems with discrete-time measurements is developed. The approach evaluates the Gaussian sum approximation of the a priori probability density function (pdf) by solving the Fokker-Planck equation numerically. Approximate evaluation of the a posteriori pdf is achieved by using Gaussian sums, a priori pdf and measurements in Bayes rule. Mean and covariance values of Gaussians are chosen by the help of an Unscented Kalman Filter (UKF), with respect to a region where a priori and a posteriori pdfs are approximated. Weights of the Gaussians are updated using the deterministically chosen grid points in the specified domains. UKF here acts as a one step look ahead mechanism to determine the high probability regions where a priori and a posteriori pdfs can reside. The a priori and a posteriori pdfs are approximated around these high probability regions. The developed approach is compared with UKF and Particle Filter in a one dimensional nonlinear system.

关键词： Nonlinear system filtering algorithm Continuous-time system Fokker-Planck equation Gaussian sum Numerical methods

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Optical Fiber Bragg Grating Center of Wavelength Detection Filter algorithm

Optical Fiber Bragg Grating Center of Wavelength Detection F...

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Measurement Touch the World——IEEE 2011 10th International Conference on Electronic Measurement & Instruments(ICEMI’2011)

作者： Hu Zhiqi,He Yujun,Hu Lizhang,Zhang Miao,Wang Zishuo Department of Electronic and Communication Engineering,North China Electric Power University Baoding 071003,China

There are various optical noises in Fiber Bragg Grating (FBG) sensing system inevitably,these noises severely limit the accuracy of detection wavelength,and also bring many difficulties to wavelength *** practical applications,fiber grating systems are often connected to multiple FBG sensors;there are many reflection points,which make the noise situation more *** order to reduce these noises,we can use hardware to reduce the noise impact,but it will raise the costs or bring *** paper presents a selection method,which can effectively reduce the noise impact of digital signal processing techniques,such as filtering and other *** proposed method is not only cost saving,easy to implement changes,but also has strong versatility.

关键词： FBG filtering algorithm LabVIEW

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A New Denoising algorithm Based on Fuzzy Mathematical Morphological Operations with One Parameter

A New Denoising Algorithm Based on Fuzzy Mathematical Morpho...

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2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： Qi-sheng YAN School of Mathematics & Information Science,East China Institute of Technology Fuzhou,Jiangxi 344000,China

In order to enhance the robustness of morphological image processing as well as the performance in the anti-disturbance, a new denoising algorithm with one parameter based on fuzzy mathematical morphological basic operations has been presented,and then some initial analysis for the selection of parameter are *** method is applied in denoising for binary image with *** experimental results demonstrate that the noise can be nearly removed by using the new method and the detail of original image can be kept clearly with the clear edge,thus its performance is better than the classical morphological *** addition,the method has the feature of flexibility and better practicability due to containing an adjustable restricted parameter.

关键词： Fuzzy morphology Mathematical morphology Parameter filtering algorithm

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Target tracking for maneuvering reentry vehicles with reduced sigma points unscented Kalman filter

Target tracking for maneuvering reentry vehicles with reduce...

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Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Shu-Chun Zhang Guang-Da Hu Si-Hua Liu Center of Control Theory and Guidance Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)0780393953

Tracking a maneuvering reentry vehicles (MaRV) by processing radar measurements has attracted much attention of researchers. Compared with the traditional extended Kalman filter, the recently developed filtering algorithm called unscented Kalman filter are significant with its easy to tune, better accuracy and same order computational complexity. For the nine-dimension system in this paper a reduced points UKF combined reduced sigma points unscented transform (UT) with classical Kalman filter is presented to lessen computation burden. Simulation results show its effectiveness.

关键词： Kalman filters satellite tracking space vehicles target tracking computational complexity filtering algorithm maneuvering reentry vehicles nine-dimension system radar measurements sigma points target tracking unscented Kalman filter Maneuvering reentry v

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Overview of infrared dim and small target detection methods

Overview of infrared dim and small target detection methods

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作者： Jiazhen Liu Askar Hamdulla Institute of Information Science and Engineering Xinjiang University

In the modern technology warfare, infrared weak target detection technology occupies a very important position. In civil use, the infrared weak target detection technology has also been widely applied and developed. The application and research status of infrared weak targets are briefly analyzed. The characteristics of infrared weak targets are introduced. The principles and steps of some classic improved methods for infrared small target detection methods in recent years are summarized. Finally, the differences of several classical algorithms such as Gauss filtering, mean filtering, median filtering, morphology and adaptive Wiener filtering are compared. This paper lays a foundation for the learning of infrared small target detection algorithm and is helpful to the research of improved algorithm for infrared small target detection.

关键词： Infrared Small Target Detection algorithm filtering algorithm

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State Estimation for Linear Discrete-Time Systems with Unknown Input Using Nonparametric Technique

State Estimation for Linear Discrete-Time Systems with Unkno...

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2015 International Conference on Computer Information Systems and Industrial Applications(CISIA2015)

作者： V.Smagin G.Koshkin V.Udod Departament of Applied Mathematics and Cybernetics Tomsk State University Departament of Applied Mathematics and Cybernetics Laboratory of Geological Informatics of Computer Science Department Tomsk State University Departament of Economics Tomsk State University

The paper addressed the filtering problems with using nonparametric algorithms for discrete linear systems with the known control input,unknown input and *** designed algorithms are based on combining the Kalman filte... 详细信息

ISBN: (纸本)9781510805750

关键词： kalman filter discrete linear systems unknown input unknown parameters filtering algorithm nonparametric estimators

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Local-loop Particle Filter Based on Artificial Fish algorithm of Big Data

Local-loop Particle Filter Based on Artificial Fish Algorith...

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2018 3rd International Conference on Modelling, Simulation and Applied Mathematics(MSAM 2018)

作者： Jian Yu Yu Yan Mathematics College Shenyang Normal University Software College Shenyang Normal University

ISBN: (纸本)9781510870604

In the paper, we proposed big data novel filtering method – Local-loop Particle Filter Based on the Artificial Fish algorithm(LPF-AF) for nonlinear dynamic systems. Particle filtering algorithm has been widely used in solving nonlinear/non Gaussian filtering problems. The proposal distribution is the key issue of the particle filtering, which will greatly influence the performance of algorithm. In the proposed LPF-AF, the local searching of AF is used to regenerate sample particles, which can make the proposal distribution more closed to the poster distribution. There are mainly two steps in the proposed filter. In the first step of LPF-AF, extended kalman filter was used as proposal distribution to generate particles, then means and variances of the proposal distribution can be calculated. In the second step, some particles move to toward the particle with the biggest weights. The proposed LPF-AF algorithm was compared with other several filtering algorithms and the experimental results show that means and variances of LPF-AF are lower than other filtering algorithms.

关键词： big data filtering algorithm particle filtering extended Kalman filter artificial fish algorithm

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