{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:44:46Z","timestamp":1776811486751,"version":"3.51.2"},"reference-count":25,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2021,9,28]]},"abstract":"<jats:p>Since electroencephalogram (EEG) signals contain a variety of physiological and pathological information, they are widely used in medical diagnosis, brain machine interface and other fields. The existing EEG apparatus are not perfect due to big size, high power consumption and using cables to transmit data. In this paper, a portable real-time EEG signal acquisition and tele-medicine system is developed in order to improve performance of EEG apparatus. The weak EEG signals are induced to the pre-processing circuits via a noninvasive method with bipolar leads. After multi-level amplifying and filtering, these signals are transmitted to DSP (TMS320C5509) to conduct digital filtering. Then, the EEG signals are displayed on the LCD screen and stored in the SD card so that they can be uploaded to the server through the internet. The server employs SQL Server database to manage patients\u2019 information and to store data in disk. Doctors can download, look up and analyze patients\u2019 EEG data using the doctor client. Experimental results demonstrate that the system can acquire weak EEG signals in real time, display the processed results, save data and carry out tele-medicine. The system can meet the requirement of the EEG signals\u2019 quality, and are easy to use and carry.<\/jats:p>","DOI":"10.3233\/jcm-204582","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T13:59:44Z","timestamp":1601647184000},"page":"891-901","source":"Crossref","is-referenced-by-count":2,"title":["A portable real-time EEG signal acquisition and tele-medicine system"],"prefix":"10.66113","volume":"21","author":[{"given":"Qiang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shanshan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yonghao","family":"Jing","sequence":"additional","affiliation":[]}],"member":"55691","reference":[{"issue":"499","key":"10.3233\/JCM-204582_ref1","first-page":"1","article-title":"Electroencephalography in the diagnosis of genetic generalized epilepsy syndromes","volume":"8","author":"Seneviratne","year":"2017","journal-title":"Frontiers in Neurology."},{"issue":"5","key":"10.3233\/JCM-204582_ref2","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1109\/TNSRE.2018.2826559","article-title":"Highly efficient compression algorithms for multichannel EEG","volume":"26","author":"Shaw","year":"2018","journal-title":"IEEE Trans. on Neural Systems and Rehabilitation Engineering"},{"issue":"2","key":"10.3233\/JCM-204582_ref3","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1109\/TBME.2015.2462312","article-title":"Fabric-based wearable dry electrodes for body surface biopotential recording","volume":"63","author":"Yokus","year":"2016","journal-title":"IEEE Trans. on Biomed. Eng."},{"key":"10.3233\/JCM-204582_ref4","first-page":"17","article-title":"Drug-resistant epilepsy and surgery","volume":"16","author":"Sheng","year":"2018","journal-title":"Current Neuropharmacology"},{"issue":"10","key":"10.3233\/JCM-204582_ref5","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1056\/NEJMra1004418","article-title":"Current concepts: Drugresistant epilepsy","volume":"365","author":"Kwan","year":"2011","journal-title":"N. Engl. J. Med."},{"issue":"5","key":"10.3233\/JCM-204582_ref6","doi-asserted-by":"crossref","first-page":"1522","DOI":"10.1109\/TBME.2014.2308552","article-title":"Integrated circuits and electrode interfaces for noninvasive physiological monitoring","volume":"61","author":"Ha","year":"2014","journal-title":"IEEE Trans. on Biomed. Eng."},{"issue":"9","key":"10.3233\/JCM-204582_ref8","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.1109\/JSSC.2014.2325557","article-title":"A wearable 8-channel active-electrode EEG\/ETI acquisition system for body area networks","volume":"49","author":"Xu","year":"2014","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"9","key":"10.3233\/JCM-204582_ref9","doi-asserted-by":"crossref","first-page":"2090","DOI":"10.1109\/JSSC.2015.2422798","article-title":"A 15-channel digital active electrode system for multi-parameter biopotential measurement","volume":"50","author":"Xu","year":"2015","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"3","key":"10.3233\/JCM-204582_ref10","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1109\/JSSC.2015.2512935","article-title":"A low-power, high CMRR neural amplifier system employing CMOS inverter-based OTAs with CMFB through supply rails","volume":"51","author":"Ng","year":"2016","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"2","key":"10.3233\/JCM-204582_ref11","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1109\/JSSC.2017.2764053","article-title":"Modular 128-channel \u0394-\u0394\u2062\u03a3 analog front-end architecture using spectrum equalization scheme for 1024-channel 3-D neural recording microsystems","volume":"53","author":"Park","year":"2018","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"5","key":"10.3233\/JCM-204582_ref12","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1109\/TBCAS.2017.2723607","article-title":"CMOS ultralow power brain signal acquisition front-ends: Design and human testing","volume":"11","author":"Karimi-Bidhendi","year":"2017","journal-title":"IEEE Trans. on Biomed. Circuits Syst."},{"issue":"6","key":"10.3233\/JCM-204582_ref13","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1109\/TCSII.2017.2780171","article-title":"A current-mode capacitively-coupled chopper instrumentation amplifier for biopotential recording with resistive or capacitive electrodes","volume":"65","author":"Wang","year":"2018","journal-title":"IEEE Transactions on Circuits and Systems-II: Express Briefs"},{"issue":"3","key":"10.3233\/JCM-204582_ref14","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1109\/TBCAS.2018.2808415","article-title":"16-channel CMOS chopper-stabilized analog front-end ECoG acquisition circuit for a closed-loop epileptic seizure control system","volume":"12","author":"Wu","year":"2018","journal-title":"IEEE Trans. on Biomed. Circuits Syst."},{"issue":"12","key":"10.3233\/JCM-204582_ref16","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.1109\/TCSII.2017.2741348","article-title":"Chopper capacitively coupled instrumentation amplifier capable of handling large electrode offset for biopotential recordings","volume":"64","author":"Zheng","year":"2017","journal-title":"IEEE Transactions on Circuits and Systems-II: Express Briefs"},{"issue":"1","key":"10.3233\/JCM-204582_ref17","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0304-3940(99)00244-X","article-title":"Do specific EEG frequencies indicate different processes during mental calculation","volume":"266","author":"Harmony","year":"1999","journal-title":"Neuroscience Letters"},{"issue":"3","key":"10.3233\/JCM-204582_ref18","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.neulet.2004.10.005","article-title":"Neural networks involved in mathematical thinking: Evidence from linear and non-linear analysis of electroencephalographic activity","volume":"373","author":"Micheloyannis","year":"2005","journal-title":"Neuroscience Letters"},{"key":"10.3233\/JCM-204582_ref19","doi-asserted-by":"crossref","unstructured":"H.U. Amin, A.S. Malik, N. Badruddin et al., EEG mean power and complexity analysis during complex mental task, in: 2013 ICME International Conference on Complex Medical Engineering, IEEE, pp. 648\u2013651.","DOI":"10.1109\/ICCME.2013.6548329"},{"issue":"4","key":"10.3233\/JCM-204582_ref20","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1192\/bjp.164.4.459","article-title":"Functional anatomy of obsessive-compulsive phenomena","volume":"164","author":"McGuire","year":"1994","journal-title":"The British Journal of Psychiatry"},{"issue":"4","key":"10.3233\/JCM-204582_ref21","first-page":"1127","article-title":"Monitoring depth of anesthesia","volume":"23","author":"Stanski","year":"1994","journal-title":"Anesthesia"},{"issue":"11","key":"10.3233\/JCM-204582_ref22","doi-asserted-by":"crossref","first-page":"3800","DOI":"10.1109\/TCSI.2018.2854741","article-title":"A fully integrated analog front end for biopotential signal sensing","volume":"65","author":"Zheng","year":"2018","journal-title":"IEEE Transactions on Circuits and Systems-I: Regular Papers"},{"issue":"2","key":"10.3233\/JCM-204582_ref23","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1109\/TBME.2015.2462312","article-title":"Fabric-based wearable dry electrodes for body surface biopotential recording","volume":"63","author":"Yokus","year":"2016","journal-title":"IEEE Trans. on Biomed. Eng."},{"issue":"9","key":"10.3233\/JCM-204582_ref24","doi-asserted-by":"crossref","first-page":"2003","DOI":"10.1109\/TBME.2017.2650259","article-title":"A multivariate approach for patient-specific EEG seizure detection using empirical wavelet transform","volume":"64","author":"Bhattacharyya","year":"2017","journal-title":"IEEE Trans. on Biomed. Eng."},{"issue":"5","key":"10.3233\/JCM-204582_ref25","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1109\/TNSRE.2018.2826559","article-title":"Highly efficient compression algorithms for multichannel EEG","volume":"26","author":"Shaw","year":"2018","journal-title":"IEEE Trans. on Neural Systems and Rehabilitation Engineering"},{"key":"10.3233\/JCM-204582_ref26","doi-asserted-by":"crossref","unstructured":"Y. Higashi, Y. Yokota and Y. Naruse, Signal correlation between wet and original dry electrodes in electroencephalogram according to the contact impedance of dry electrodes, in: Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, 2017.","DOI":"10.1109\/EMBC.2017.8037010"},{"key":"10.3233\/JCM-204582_ref27","doi-asserted-by":"crossref","unstructured":"R.R. Sharma, P. Varshney, R.B. Pachori and S.K. Vishvakarma, Automated system for epileptic EEG detection using iterative filtering, IEEE Sensors Letters 2(4) (Dec. 2018).","DOI":"10.1109\/LSENS.2018.2882622"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/content.iospress.com\/download?id=10.3233\/JCM-204582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:22Z","timestamp":1776809182000},"score":1,"resource":{"primary":{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-204582"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":25,"journal-issue":{"issue":"4"},"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.3233\/jcm-204582","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,28]]}}}