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Approach to compensate measurement errors in electrical impedance tomography 电阻抗断层成像测量误差补偿方法
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325139
T. Menden, J. Orschulik, Toni Tholen, S. Leonhardt, M. Walter
{"title":"Approach to compensate measurement errors in electrical impedance tomography","authors":"T. Menden, J. Orschulik, Toni Tholen, S. Leonhardt, M. Walter","doi":"10.1109/BIOCAS.2017.8325139","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325139","url":null,"abstract":"Electrical Impedance Tomography (EIT) is an imaging modality to visualize conductivity changes inside the human body. By injecting small alternating currents, the resulting surface potentials can be acquired. This bio-impedance measurement chain usually includes multiplexer, cables and electrodes. Due to the inherent resistances and parasitic capacitance of the components, the acquired signal is always afflicted with errors. Commonly used EIT systems have problems to provide a sufficient accuracy for absolute measurements in the frequency range above 100 kHz. Therefore, we developed a measurement scheme to correct the resulting signals with the help of reference measurements.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153552","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
XSpectra®: The most advanced real time food contaminants detector XSpectra®:最先进的实时食品污染物检测器
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325176
B. Garavelli, A. Mencarelli, L. Zanotti
{"title":"XSpectra®: The most advanced real time food contaminants detector","authors":"B. Garavelli, A. Mencarelli, L. Zanotti","doi":"10.1109/BIOCAS.2017.8325176","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325176","url":null,"abstract":"With the aim to contribute to the persistent effort to enhance quality controls carried out by the food community, Xnext1® has developed an innovative technology (XSpectra1®) for X-ray real time inspection. The application exploits a semiconductor detector (Cadmium Telluride) and a licensed electronic readout system which has been designed to handle big flux of data. Differently from conventional machines, such application allows to discriminate multi spectral energies, so that it can gather more informations suitable to distinguish different materials. As a matter of fact, X-ray spectra strongly depend on the mediums the radiation crosses along its path, due to the radiation-matter interaction. By means of advanced imaging techniques and deep learning models, the system is able to identify organic and low density contaminants which are currently not detected. The great potentiality of such technology is also related to its wide flexibility. Indeed, it can operate in several quality industrial inspection such as ripeness status of the fruit or for instance the homogeneity of the bread loaf.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115167527","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
Live demonstration: An IoT smartwatch-based system for intensive care monitoring 现场演示:基于物联网智能手表的重症监护监护系统
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325090
Francesca Stradolini, Eleonora Lavalle, P. Ros, G. Micheli, D. Demarchi, S. Carrara
{"title":"Live demonstration: An IoT smartwatch-based system for intensive care monitoring","authors":"Francesca Stradolini, Eleonora Lavalle, P. Ros, G. Micheli, D. Demarchi, S. Carrara","doi":"10.1109/BIOCAS.2017.8325090","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325090","url":null,"abstract":"Nowadays, wearable devices are largely spread in many fields and in wellness monitoring too. In this paper we propose a smartwatch-based IoT system to improve the monitoring efficacy of critical hospitalized patients. The medical doctor assigned to the unit can access patients' information at any time and from any place by wearing a smartwatch. The bio-sensing platforms, which measure metabolites' concentration in the patients, are wirelessly connected with a dedicated application running on the smartwatch. In case of anomalous measured values, incoming alert notifications are received to ask urgent medical intervention. In this way, the doctor, or in general the caregiver, can freely move in the hospital areas and perform several tasks in parallel without losing the monitoring of the patients under their responsibility.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"81 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123177758","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
Fabrication of a new LFIA test for rapid quantitative detection of CK-MB, using inkjet-printing method 采用喷墨打印方法制备了一种快速定量检测CK-MB的LFIA测试方法
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325050
M. Ion, C. Moldovan, S. Dinulescu, G. Muscalu, M. Savin, C. Mihailescu, D. Stan, I. Matei
{"title":"Fabrication of a new LFIA test for rapid quantitative detection of CK-MB, using inkjet-printing method","authors":"M. Ion, C. Moldovan, S. Dinulescu, G. Muscalu, M. Savin, C. Mihailescu, D. Stan, I. Matei","doi":"10.1109/BIOCAS.2017.8325050","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325050","url":null,"abstract":"We successfully developed a lateral flow imunnoassay (LFIA) test, based on cadmium telluride (CdTe) carboxyl-functionalized quantum dots (QDs). The LFIA test is used for rapid quantitative detection of creatine kinase myocardial fraction (CK-MB), an important predictive cardiac protein biomarker. The antibody solutions were printed on nitrocellulose membrane using an inkjet printer (DIMATIX — DMP 2800).","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123190339","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 superposition-based analog data compression scheme for massively-parallel neural recordings 一种基于叠加的模拟数据压缩方案，用于大规模并行神经记录
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325550
Jonas David Rieseler, M. Kuhl
{"title":"A superposition-based analog data compression scheme for massively-parallel neural recordings","authors":"Jonas David Rieseler, M. Kuhl","doi":"10.1109/BIOCAS.2017.8325550","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325550","url":null,"abstract":"An analog data compression scheme for massively-parallel observation of neural activity is presented, that simultaneously reduces the total number of physical transmission lines. The compression is realized by superimposing signals of different recording sites on one common transmission line, a reconstruction of spatial information is achievable by correlation, for which three simple mathematical operations are presented. The generalized system-theoretical description allows to apply the concept to any multidimensional analog sensing network, and grants to extract the relation between compression and SNR reduction. Simulation-based examples of neural recording arrays revealed possible transmission line reductions of 92% in a 25 × 25 array with 11.5dB higher noise floor, or 70.8% in a 6×8 array with an SNR reduction equivalent to only 1 bit of resolution.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264693","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
Comparison of real and virtual rehabilitation using hand measurement device based on six-axis inertial sensors 基于六轴惯性传感器的手部测量装置的真实与虚拟康复比较
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325120
Yujiro Tsuzuki, K. Nagamune
{"title":"Comparison of real and virtual rehabilitation using hand measurement device based on six-axis inertial sensors","authors":"Yujiro Tsuzuki, K. Nagamune","doi":"10.1109/BIOCAS.2017.8325120","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325120","url":null,"abstract":"In 2016, the number of patients with stroke is increasing in Japan. Stroke survivor's rate has doubled from 1960 to 2004 in Japan. Even though surviving from stroke, patients usually have paralyses or impairment. In recent years, new rehabilitation system with virtual reality system has been reported. It has a possibility to improve occupational therapist tasks. In the previous study, virtual reality rehabilitation system had an effect in Box and Block Test. However, a movement in virtual reality system rehabilitation was not measured quantitatively and it was not compared with real conventional rehabilitation. Rehabilitation with virtual reality system is also required to make patients same movement of conventional rehabilitation. By comparing virtual reality test motion with conventional test motion, VR device experiment has larger 30 degrees in average bending angles than imitation device performing and we examine usefulness of rehabilitation with virtual reality. This study focuses on bending motion of the middle fingers when grasping a box. To compare them, a measurement system which can measure the grasping angle was developed based on six-axis inertial sensors. Consequently, difference between two tests was observed in bending motion. We consider it is relating with physical feedback.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124934993","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
Towards more efficient objective tests of hearing thresholds: Phase based detection of cortical auditory responses 迈向更有效客观的听力阈值测试:基于阶段的皮层听觉反应检测
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325144
D. Mao, H. Innes-Brown, M. Petoe, Y. Wong, C. McKay
{"title":"Towards more efficient objective tests of hearing thresholds: Phase based detection of cortical auditory responses","authors":"D. Mao, H. Innes-Brown, M. Petoe, Y. Wong, C. McKay","doi":"10.1109/BIOCAS.2017.8325144","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325144","url":null,"abstract":"Automated detection of the cortical auditory evoked potential (CAEP) allows for objective hearing threshold estimation, useful for non-compliant or non-capable individuals. Two methods, the commonly used Hotelling T2 statistic (which assumes stimulus-locked responses) and the Rayleigh statistic (which does not) were implemented to detect CAEPs. Results showed significant improvements using the Rayleigh statistic at 40 and 60 dB sensation levels. We have provided further evidence that the CAEP is a useful measure for hearing threshold estimation, and improvements to automated detection are possible.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122596579","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 low complexity patient-specific threshold based accelerator for the Grand-mal seizure disorder 一个低复杂性的患者特异性阈值为基础的加速器为大发作障碍
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325149
Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf
{"title":"A low complexity patient-specific threshold based accelerator for the Grand-mal seizure disorder","authors":"Muhammad Rizwan Khan, Wala Saadeh, Muhammad Awais Bin Altaf","doi":"10.1109/BIOCAS.2017.8325149","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325149","url":null,"abstract":"This paper presents a 2-channel electroencephalograph (EEG) based seizure detection accelerator suitable for long-term continuous monitoring of patients suffering from the Grand-mal seizure disorder. The implementation is based on the novel slope based detection (SBD) algorithm to achieve start and end of seizure detection. The proposed SBD algorithm is verified experimentally using a full FPGA implementation with patients' recordings from Physionet Children Hospital Boston (CHB)-MIT EEG database with real-time seizure, information display on the Android phone through a low-power Bluetooth link. The patient-specific detection with specific threshold results in sensitivity, specificity, system latency, and detection latency of 91.2%, 93.6%, 0.5s, and 29.25 s, respectively, using the CHB-MIT EEG database.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123855319","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: 5
Wireless intracranial pressure monitoring system based on an air pressure sensor 基于气压传感器的无线颅内压监测系统
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325210
Zeliang Wu, Hanjun Jiang, Yanshu Guo, Chun Zhang, Wen Jia, Zhihua Wang
{"title":"Wireless intracranial pressure monitoring system based on an air pressure sensor","authors":"Zeliang Wu, Hanjun Jiang, Yanshu Guo, Chun Zhang, Wen Jia, Zhihua Wang","doi":"10.1109/BIOCAS.2017.8325210","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325210","url":null,"abstract":"A novel wireless intracranial pressure (ICP) monitoring system based on air pressure sensing is proposed in this work. Compared to the conventional implantable wireless ICP systems, the proposed system has the advantage of low damage to brain tissues and high measurement accuracy. A prototype device has been built with a commercial digital air pressure sensor and a dedicated SoC in 0.18μm CMOS which consists of the sensor interface, wireless transceiver and control logic. Experimental results show that the prototype implantable ICP device has achieved a resolution of 0.2 mmHg @ 9 samples per second, and a battery life of > 1 week.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060467","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
Ultrasonic wireless powering link of visual cortical prosthesis implant 视觉皮质假体植入物的超声无线供电链路
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325115
Banafsaj Jaafar, J. Neasham, E. G. Chester, P. Degenaar
{"title":"Ultrasonic wireless powering link of visual cortical prosthesis implant","authors":"Banafsaj Jaafar, J. Neasham, E. G. Chester, P. Degenaar","doi":"10.1109/BIOCAS.2017.8325115","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325115","url":null,"abstract":"This paper presents a design and implementation of an ultrasonic wireless energy transfer link to a visual cortical prosthesis implant device. Two ultrasonic transducers with 2 mm thickness and 12 mm diameter are implemented from scratch using Pz27 disc shape. The power transfer ultrasound link is demonstrated using 2 mm of tissue mimic in-vitro. The target voltage, required to operate the implant, of 1.8 V, 3.3 V and 5 V is achieved. The ultrasonic link and the overall system efficiencies are found to be 14.99% and 25% respectively. This system is found to be working in 36% of the FDA limit (720 mW/cm2).","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756610","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
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