2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)最新文献_第7页

Stroke Rehabilitation based on Intelligence Interaction System 基于智能交互系统的脑卒中康复

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158104

Pornphom Piraintorn, V. Sa-Ing

{"title":"Stroke Rehabilitation based on Intelligence Interaction System","authors":"Pornphom Piraintorn, V. Sa-Ing","doi":"10.1109/ecti-con49241.2020.9158104","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158104","url":null,"abstract":"Stroke rehabilitation is an important requirement of patient treatment after recovering from stroke disease. However, a physical therapist can only observe once a patient at a time. Moreover, it takes a lot of time to suggest and evaluate the correction. From this problem, this research will develop the new rehabilitation guidance systems that assist the physical therapist and medical doctor. The intelligence interaction system is proposed for detection and monitoring the rehabilitation of the stroke patient who stays on the bed. The proposed system detects a stroke patient by using a 3D camera, which is the Intel Realsense D415, to place at the end of the patient bed for extracting the patient from the bed by measuring the distance between the patient and bed. From the segmentation result of the patient, the proposed system evaluates the rehab posture of the patient by detection from the simulated skeleton to calculate from the changing degree of the shoulder joint, elbow joint, and wrist joint. In addition, the proposed system uses the capabilities of artificial intelligence to check the accuracy of physiotherapy patients and show to the patients how to perform physical therapy correctly. From the experiment results, the proposed system represents the effective monitoring and evaluation of the stroke rehabilitation that the program can accurately count the arm flexion gesture therapy. Therefore, the intelligence interaction system can usefully help the physical therapist to monitor and evaluate the rehabilitation of stroke on the bed.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132163393","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: 3

A Development of Inpatient Monitoring System: A Case Study of Patong Hospital, Phuket, Thailand 住院病人监护系统的发展:以泰国普吉岛芭东医院为例

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158062

Korawit Prutsachainimmit, Tinakarn Janthong, Wanatip Tuanropi

{"title":"A Development of Inpatient Monitoring System: A Case Study of Patong Hospital, Phuket, Thailand","authors":"Korawit Prutsachainimmit, Tinakarn Janthong, Wanatip Tuanropi","doi":"10.1109/ecti-con49241.2020.9158062","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158062","url":null,"abstract":"Detecting the health condition of patients is an essential routine of the inpatient unit. In general, medical professionals routinely measure the status of a patient by monitoring the vital signs. In Thailand, the current practice is assessing each vital signs manually and log them into a paper-based form. This process put a lot of workload into the medical staff, especially the hospitals that have limited human resources. Besides, using the paper-based forms may cause misinterpretations that lead to the wrong diagnosis. Thus, an efficient way to record and monitor vital sign information is necessary for inpatient care. This paper presents the design and development of a vital sign recording and monitoring systems for the inpatient department of a small to medium-sized hospital. Nurses can use the vital sign recording system on a handheld computing device. The data visualization dashboard at the nurse center promotes the perception of the patient's condition. The real-time value-based notification technique has been applied to create interaction, lower the delay, and improve the quality of user experiences. The preliminary evaluation results have shown that our proposed system can leverage the effort of medical staff and enhance the quality of inpatient care.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123877734","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

BlueCompass: A Case Study of an In-Building Hospital Information and Navigation System BlueCompass:建筑内医院信息和导航系统的案例研究

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158248

Jakee Indapanya, Voraprat Rattana, S. Vasupongayya, S. Chatpun, Komet Thongkhao, Kanthika Kraisawat

引用次数: 0

Progressive Latent Fingerprint Enhancement Using Two-Stage Spectrum Boosting with Matched Filter and Sparse Autoencoder 基于匹配滤波器和稀疏自编码器的两级频谱增强的渐进式潜在指纹增强

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158210

K. Horapong, Kittinuth Srisutheenon, V. Areekul

{"title":"Progressive Latent Fingerprint Enhancement Using Two-Stage Spectrum Boosting with Matched Filter and Sparse Autoencoder","authors":"K. Horapong, Kittinuth Srisutheenon, V. Areekul","doi":"10.1109/ecti-con49241.2020.9158210","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158210","url":null,"abstract":"We propose a progressive enhancement algorithm to improve friction ridges in latent fingerprint images that are usually of poor quality or partially missing. The proposed method is designed for performing in the frequency domain to propagate a friction ridge pattern from good to poor-quality areas. In the first stage, the algorithm starts with a block of high ridge signal strength to initially boost ridge spectra by a matched filter. The boosted block is then padded back to the input image, so that neighboring blocks can absorb the stronger ridge signal. We carry on this process iteratively at neighbors to propagate the friction ridge pattern until the entire image is done. However, at the low ridge signal strength, the matched filter cannot enhance the ridge signal well enough. In the second stage, we use a sparse autoencoder-based spectrum generator to approximate the matched filter for the spectrum boosting process. The proposed method was benchmarked with two existing latent fingerprint enhancement methods. The experimental result shows that the proposed method provided the promising accuracy on publicly available IIT-D MOLF latent fingerprint database.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128834710","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: 3

Development of LIDAR Based Gait Training System with Gait Assessment 基于激光雷达的步态训练系统与步态评估

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158246

Supharak Sakdarakse, P. Somboon

引用次数: 1

The Performance of Crop Yield Forecasting Model based on Artificial Intelligence 基于人工智能的作物产量预测模型的性能研究

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ECTI-CON49241.2020.9158090

Nantinee Soodtoetong, Eakbodin Gedkhaw, Montean Rattanasiriwongwut

{"title":"The Performance of Crop Yield Forecasting Model based on Artificial Intelligence","authors":"Nantinee Soodtoetong, Eakbodin Gedkhaw, Montean Rattanasiriwongwut","doi":"10.1109/ECTI-CON49241.2020.9158090","DOIUrl":"https://doi.org/10.1109/ECTI-CON49241.2020.9158090","url":null,"abstract":"This paper presents the performance of crop yield forecasting model by comparing the accuracy of the crop yield forecasting models based on artificial intelligence. To compare the error values, researchers use 2 statistical values which are the Coefficient of Multiple Determination (R2) and the Root Mean Square Error (RMSE). The model has the highest R2 value and the lowest RMSE value will be the appropriate model. The models used for comparison in this paper include Linear Regression, Decision Tree Regression, K-Nearest Neighbors Regression, Support Vector Regression, and Multilayer Perceptron Network. The learning dataset comes from the survey of planting area and yield of lychee in Thailand during 2004-2018 and dataset in 2019 to test the performance of the model. The results show that Support Vector Regression has the highest accuracy in forecasting, followed by Multilayer perceptron network, Linear Regression, Decision Tree Regression and k-Nearest Neighbors Regression, respectively.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116419568","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

Design of Unbalance Slot Printed Dipole Antenna with Triangle Parasitic Element for DTV Receiver 数字电视接收机用带三角寄生元件的非平衡槽印刷偶极子天线设计

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158107

Chawangsak Taonok, C. Saetiaw

引用次数: 2

A Light-Weight Artificial Neural Network for Speech Emotion Recognition using Average Values of MFCCs and Their Derivatives 基于mfccc均值及其衍生物的语音情感识别轻量人工神经网络

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158221

Panuwit Nantasri, E. Phaisangittisagul, Jessada Karnjana, Surasak Boonkla, S. Keerativittayanun, A. Rugchatjaroen, Sasiporn Usanavasin, T. Shinozaki

引用次数: 15

An Implementation of Digital Parametric Equalizer on STM32 Processor 数字参数均衡器在STM32处理器上的实现

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158299

T. Jongsataporn, Sorawat Cheevapreecha

引用次数: 1

Time-Domain Analysis of Wireless Telemetry for Liver-Implanted Medical Monitoring Applications 用于肝脏植入医疗监测的无线遥测时域分析

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2020-06-01 DOI: 10.1109/ecti-con49241.2020.9158135

Pongphan Leelatien

{"title":"Time-Domain Analysis of Wireless Telemetry for Liver-Implanted Medical Monitoring Applications","authors":"Pongphan Leelatien","doi":"10.1109/ecti-con49241.2020.9158135","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158135","url":null,"abstract":"The interest in utilizing wireless communications for implanted scenarios using ultra-wideband (UWB) is increasing because this technology can offer a high data rate transmission while consuming low power thus can help to improve the standard for wireless implanted communications. Nevertheless, extensive validations are required to confirm the viability and reliability of the communication links before actual implementations. In this work, the transient domain characteristics of the UWB channel for liver-implant environment are presented. Numerical simulations were performed using a digital male model. Pulse fidelity was extracted from simulated data. The pulse fidelity is more than 70% suggesting the feasibility of using the considered wireless telemetry system for transplanted liver monitoring. Consequently, this also indicates the reliability of system performance for the considered communication scenario using UWB technology. This work aims at accommodating the tasks related to the wireless communication system design for implant medical telemetry applications.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125825318","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