Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19最新文献_第5页

Spectroscopic Properties of Blood for Pulse Oximeter Design 脉搏血氧计设计中血液的光谱特性

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326205

Abeera Vaqar, I. R. I. Haque, T. Zaidi

{"title":"Spectroscopic Properties of Blood for Pulse Oximeter Design","authors":"Abeera Vaqar, I. R. I. Haque, T. Zaidi","doi":"10.1145/3326172.3326205","DOIUrl":"https://doi.org/10.1145/3326172.3326205","url":null,"abstract":"Pulse oximeter is an important medical device as it is used for emergency situations in hospitals for monitoring patient's peripheral oxygen saturation (%SpO2). For more than 30 years many research studies have focused on designing a wearable compact pulse oximeter device for accurate %SpO2 measurements. Most of these devices provide values that are either 2% above or below the desired %SpO2 values, calculated using arterial blood gas (ABG). Pulse oximeter provides %SpO2 readings of arterial blood and the pulse rate through convenient placement of the sensor on the finger. In the transmittance type pulse oximeter, the absorbance of light by oxy hemoglobin and de-oxy hemoglobin is measured at two wavelengths one each from the Red band and the Infrared (IR) band. The two band's combined wavelength ranges from 600nm to 1000nm on the electromagnetic spectrum. At each wavelength, the light is detected after placing a finger between the light source and the detector of spectrophotometer. The detected signal consists of a cardiac synchronous AC signal which is due to the changes in arterial blood volume, and the DC level which is due to bone, tissue and non-pulsatile blood. The ratio of signals corresponding to Red and IR bands is calculated and is related to arterial oxygen saturation. In this paper, we investigate the spectral properties of blood through spectrophotometer-based readings from finger in the wavelength range of 600nm to 1000nm and determine the optimum wavelength combination for designing the transmittance type pulse oximeter. For this purpose, a comparison of all combinations of Red and IR band wavelengths was carried out. The results of our study indicate that more than one combination of wavelengths can be used for designing pulse oximeters based on the absorbance values observed in the IR and Red bands","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131348970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Vital Signs Determination from ECG and PPG Signals Obtained from Arduino Based Sensors 从基于Arduino传感器获得的ECG和PPG信号中确定生命体征

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326202

A. Yumang, G. C. Talisic, Lorenz F. Oripaypay, Jessie R. Balbin, Christel Evance V. Lopez, Janette C. Fausto, Christopher James P. Mabbagu

{"title":"Vital Signs Determination from ECG and PPG Signals Obtained from Arduino Based Sensors","authors":"A. Yumang, G. C. Talisic, Lorenz F. Oripaypay, Jessie R. Balbin, Christel Evance V. Lopez, Janette C. Fausto, Christopher James P. Mabbagu","doi":"10.1145/3326172.3326202","DOIUrl":"https://doi.org/10.1145/3326172.3326202","url":null,"abstract":"Blood pressure is one vital sign that can predict and detect hypertensive on individuals. One prevalent problem in developing Asian countries is hypertension; and it has been a global health problem. The main objective of this study is to determine the BP of the patient by using Arduino-Based Sensors: SEN0213 Heart Rate Sensor and SEN0203 PPG Pulse Sensor using Pulse Transit Time (PTT). Linear and 4th Order Polynomial Regression is used to learn the equations to calculate the Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) of the patients based on the Pulse Transit Time top and bottom (PTTt and PTTb) with DBP and SBP measured by a medical expert using clinical equipment. The researchers examined 30 individuals in order to incorporate equations in relation to SBP and DBP using PTT. P-values of the coefficients were less than 0.05, which means that the data entered for regression analysis were not by chance and that the coefficients were significant. A 84.06-84.61% and 67-71% of SBP and DBP data, respectively fit the model in an observation of 30. A 0.9199 and 0.8458 multiple R value for SBP and DBP is near 1, which means that both datasets have a nearly-perfect positive-relationship.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Stress and Strain Analysis on Knee Joint 膝关节应力应变分析

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326207

G. L. Jie, Sara Lee Kit Yee

引用次数: 0

PCA Based Guided Bilateral Filter for Medical Color Images 基于PCA的医学彩色图像引导双侧滤波器

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326201

Toshiki Kage, Kenjiro Sugimoto, S. Kamata

{"title":"PCA Based Guided Bilateral Filter for Medical Color Images","authors":"Toshiki Kage, Kenjiro Sugimoto, S. Kamata","doi":"10.1145/3326172.3326201","DOIUrl":"https://doi.org/10.1145/3326172.3326201","url":null,"abstract":"This paper presents a fast and accurate approximation of the bilateral filter for color images such as medical color images. The bilateral filter has a problem of high computational complexity. Various acceleration methods have been proposed in the past. However, most of the existing methods have been developed for grayscale images, not for color images. Therefore, the computational complexity is high even though we apply the state-of-the-art fast approximate methods to color images. This paper tackles the problem based on the idea of the cross/joint bilateral filter. It filters a target image using an additional guide image for higher-quality output. Our key idea is to generate the guide image by the principal component analysis for the color vector distribution of the target image. As a result, the proposed method achieves highly-accurate approximation of the bilateral filter and succeeds in drastically reducing the computational complexity. Our experiments show that the proposed method is robust in high contrast medical color images. Furthermore, we combined the state-of-the-art constant-time bilateral filter with the proposed method. This combination achieved high quality performance in terms of both approximate accuracy and computational complexity.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114214656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Full-Implantable Continuous Blood Glucose Monitoring System Design 一种全植入式连续血糖监测系统设计

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326180

Juan Deng, Yan Wang, Shu Zhao, Lei Wang, Yu Tian, H. Sha

引用次数: 0

Identification of Various Osteichthyes Class of Fishes Through Gaussian Mixture Model, Kalman Filter, Pyramid Histogram of Visual Words and Support Vector Machine 基于高斯混合模型、卡尔曼滤波、视觉词金字塔直方图和支持向量机的不同骨鱼类鱼类识别

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326223

Ramon G. Garcia, Jonen Lery L. Ibanez, Flordeliza L. Valiente, Jeffrey T. Macadangdang, John Edward G. Macario, C. Paglinawan, Paola Jamie V. Uy

{"title":"Identification of Various Osteichthyes Class of Fishes Through Gaussian Mixture Model, Kalman Filter, Pyramid Histogram of Visual Words and Support Vector Machine","authors":"Ramon G. Garcia, Jonen Lery L. Ibanez, Flordeliza L. Valiente, Jeffrey T. Macadangdang, John Edward G. Macario, C. Paglinawan, Paola Jamie V. Uy","doi":"10.1145/3326172.3326223","DOIUrl":"https://doi.org/10.1145/3326172.3326223","url":null,"abstract":"This paper proposes a prototype that can identify the species in the Osteichthyes class of fishes. This paper is mainly focused on five species, namely Glossogobius celebius (Celebes goby), Trichopodus trichopterus (Three-spot Gourami), Poe'cilia Latipinna (Sailfin Molly), Oreochromis niloticus (Nile Tilapia), and Clarias batrachus (Philippine catfish). The processes involved in the identification included detection, tracking, and identifying and classifying the fishes' respective species. Detection is performed using the GMM, which is based on background subtraction method. Tracking, on the other hand, is performed using the Kalman Filter. Identification of the species of the fish can be attained using the Pyramid Histogram of Visual Words (PHOW) and lastly, the classification process utilizes the Support Vector Machine (SVM). These four algorithms were utilized on the raw data collected to obtain the desired results. The prototype underwent controlled testing to perform initial tests and calibrations, and then went through uncontrolled testing at the Mt. Makiling Forest Reserve located at UPLB, Laguna, Philippines using the aid of the Philippine Journal of Science's paper, Freshwater Fish Fauna in Watersheds of Mt. Makiling Forest Reserve, Laguna Philippines. The proposed system can detect and track fishes with 57.5% accuracy in videos and identify the species with 92.5% accuracy in high-resolution still images. As for videos, the system can perform with 72.5% accuracy in identifying the species of the fishes at low quality videos.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Android Application- Based Electrocardiogram Design Using Microcontroller and Bluetooth Technology 基于Android应用的单片机和蓝牙技术的心电图设计

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326209

G. P. S. Baluyot, Shih-Lun Chen, J. Villaverde, Danny Wen-Yaw Chung

引用次数: 2

Improved PET Image Reconstruction Using Time-of-Flight (TOF) Information 利用飞行时间(TOF)信息的改进PET图像重建

Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19 Pub Date : 2019-03-28 DOI: 10.1145/3326172.3326196

Min Zhao, Z. Pan, Mingwei Zhu, M. Yao, R. Guo

引用次数: 0