2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)最新文献

Development of real-time ECG signal monitoring system for telemedicine application 远程医疗应用实时心电信号监测系统的研制

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-16 DOI: 10.1109/ICBSII.2017.8082285

B. Ramachandran, S. Bashyam

引用次数: 5

Quadcopter based technology for an emergency healthcare 用于紧急医疗保健的四轴飞行器技术

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-16 DOI: 10.1109/ICBSII.2017.8082284

A. Dhivya, J. Premkumar

{"title":"Quadcopter based technology for an emergency healthcare","authors":"A. Dhivya, J. Premkumar","doi":"10.1109/ICBSII.2017.8082284","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082284","url":null,"abstract":"Several thousands of people die day to day due to the time lag taken by the Ambulance service to reach the accident spot. This happens due to traffic jam, congestion in the city. A prototype of an emergency flying air ambulance or an ambulance drone which can reach the fatal cases faster than a normal ambulance which saves time is designed and it also measures the different health parameters using its measuring devices. When a phone call is given to the emergency number, the emergency operator tracks the location and navigate using global positioning system. The ambulance drone enters the scene in the instant time and real time commands are provided by the operator. The drone consist of a mini patient monitoring system which comprises of variant sensors which can be conveniently attached to the victim body and the important parameters is measured and it is immediately sent to the ambulance as well as to the nearby hospital using global positioning system and ZIGBEE. The particular result helps the paramedics as well as the doctors to evaluate the situation quicker with better diagnostic and therapeutic choices. Therefore, the goal is to develop an all purpose medical toolkit that can be flawn to any crisis situation and it is used to give the actual time situation results to the ambulance and the hospital team so that they will be ready to serve to the needs of the patients. This prototype helps to support the routine ambulance rather than replacing the normal ambulance","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"2001 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128302084","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: 25

Design of contactless power transfer for artificial heart 人工心脏非接触式电力传输的设计

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-16 DOI: 10.1109/ICBSII.2017.8082287

L. Daniel, T. Sudhakar, Sheeba Abraham

引用次数: 2

Development of thermistor based low cost high sensitive respiration rate measurement system using audio software with audio input 基于热敏电阻的低成本高灵敏度呼吸速率测量系统的研制

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-16 DOI: 10.1109/ICBSII.2017.8082283

Tarak Das, S. Guha, Nisha Banerjee, Piyali Basak

{"title":"Development of thermistor based low cost high sensitive respiration rate measurement system using audio software with audio input","authors":"Tarak Das, S. Guha, Nisha Banerjee, Piyali Basak","doi":"10.1109/ICBSII.2017.8082283","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082283","url":null,"abstract":"Clinical investigation of lungs can be find out by measuring respiration rate. Different methods are present to measure the human respiration rate like Respiratory Rate measurement using Piezoelectric Sensor, Measurement of Respiratory Rate using Laser Doppler Vibrometer, Respiration Rate Measurement System Using Pyroelectric Transducer, Impedance Pneumography Method, Measurement of Respiration Rate by Capnography and Respiratory rate measurement using PPG (Photoplethysmography) signal. However, all of these techniques are very cost effective. We have design a new system using NTC (Negative Temperature Coefficient) type thermistor and Wheatstone bridge and a differential amplifier using IC-741. This system can be used to measure the respiration rate along with display of its waveform in a computer screen. In this system the output signals is taken and after some impedance matching it is used in audio input to a computer. A freely available software Audacity (version 2.1.0) downloaded from internet and installed in to the computer to see the waveform of output signal. The used thermistor is highly sensitive which changes it resistance −7KΩ per °C rise in temperature.","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132017447","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: 9

EEG signal analysis using sparse approximations 稀疏逼近法分析脑电信号

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082298

P. Ravali, J. S. Babu

引用次数: 1

Selection of dominant voice features for accurate detection of Parkinson's disease 选择主要语音特征以准确检测帕金森病

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082297

Spriha Chandrayan, Aarushi Agarwal, Mohammad Arif, S. Sahu

引用次数: 8

Impact assessment of mental subliminal activities on the human brain through neuro feedback analysis 通过神经反馈分析评估心理阈下活动对人脑的影响

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082299

Munyaradzi Charles Rushambwa, A. Mythili

引用次数: 4

An efficient clustering technique and analysis of infrared thermograms 一种有效的红外热图聚类技术及分析

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082275

R. Vishnupriya, N. M. Raja, V. Rajinikanth

引用次数: 14

A review on systemic approach of the ultra sound image to detect renal calculi using different analysis techniques 超声图像系统检测肾结石的不同分析技术综述

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082269

V. Velmurugan, M. Arunkumar, P. Gnanasivam

引用次数: 3

An fNIRs study to classify stages of learning from visual stimuli using prefrontal hemodynamics 利用前额叶血流动力学对视觉刺激下的学习阶段进行fNIRs研究

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082272

A. De, A. Konar, Amalesh Samanta, Souvik Biswas, Piyali Basak

{"title":"An fNIRs study to classify stages of learning from visual stimuli using prefrontal hemodynamics","authors":"A. De, A. Konar, Amalesh Samanta, Souvik Biswas, Piyali Basak","doi":"10.1109/ICBSII.2017.8082272","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082272","url":null,"abstract":"A wide range of research exists on fMRI imaging and psychological assessment based memory and/or learning studies. However, absence of literature is observed in fNIRs based memory and learning research. This paper provides a novel study of prefrontal hemodynamic changes of subjects engaged in multiple trial paired-associate learning. The direct measure of prefrontal hemodynamic is collected by fNIRs machine. The raw signals are pre-processed (to filter out artifacts) to extract 144 features for each feature pool which are reduced to 36 using principal component analysis (PCA). From three pools of features, the most relevant feature pool is sorted out considering algorithms' classification performance. Learning stages are classified from ‘ZERO’ learning using three conventional classifiers (RBF-SVM, LSVM and LDA). Experimental analysis revels RBF-SVM algorithm has the highest performance in classification of learning trials which reaches over 93%. Analysis of hemodynamic features shows greater total hemoglobin load in orbitofrontal (OFC) and medial prefrontal cortex (mPFC) in initial learning trials which shits to dorsolateral (DLPFC) and ventrolateral prefrontal cortex (VLPFC) areas when learning is complete. We also observe the engagement of working memory in initial learning stages. This findings also can be useful to justify low learning ability among individuals with neurovascular deficits.","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133273224","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