Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525798
A. Škraba, Andrej Kolozvari, D. Kofjac, R. Stojanovic, V. Stanovov, E. Semenkin
The paper describes the development of the three prototypes which enable monitoring of heart pulse sensor data on the cloud. The prototypes are based on a) Bluetooth module, b) Low Energy Bluetooth module and c) ESP8266 Wi-Fi module. The client side implementation is developed by the application of JavaScript. Node.js was used on the server side with application of node-serialport library with Bluetooth modules. In the case where ESP8266 Wi-Fi module was used, the data was transmitted directly to the cloud. The three different prototypes were compared according to the power consumption and complexity of design. The code example is provided illustrating the approach to develop cloud based graphing interface for biomedical mobile monitoring.
{"title":"Streaming pulse data to the cloud with bluetooth LE or NODEMCU ESP8266","authors":"A. Škraba, Andrej Kolozvari, D. Kofjac, R. Stojanovic, V. Stanovov, E. Semenkin","doi":"10.1109/MECO.2016.7525798","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525798","url":null,"abstract":"The paper describes the development of the three prototypes which enable monitoring of heart pulse sensor data on the cloud. The prototypes are based on a) Bluetooth module, b) Low Energy Bluetooth module and c) ESP8266 Wi-Fi module. The client side implementation is developed by the application of JavaScript. Node.js was used on the server side with application of node-serialport library with Bluetooth modules. In the case where ESP8266 Wi-Fi module was used, the data was transmitted directly to the cloud. The three different prototypes were compared according to the power consumption and complexity of design. The code example is provided illustrating the approach to develop cloud based graphing interface for biomedical mobile monitoring.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133828808","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525799
T. Istomina, Viktor V. Istomin, N. Kosenok, T. Murashkina, E. Badeeva, A. V. Motin
The aim of the project is the development of the multidiagnostic system with remote access that carrying out the long-term rehabilitation of patients with postural deficits. The system allows the physician-rehabilitator to monitor the rehabilitation process based on the analysis of the dynamics of ECG, EEG, EMG and stabilograms with the implementation of biological feedback. There was proposed the addition to the system with fiber optic blood pressure measuring transducer using the tunnel effect in the nanometer range.
{"title":"Development of sensors and systems for remote multidiagnostics and rehabilitation for medicine","authors":"T. Istomina, Viktor V. Istomin, N. Kosenok, T. Murashkina, E. Badeeva, A. V. Motin","doi":"10.1109/MECO.2016.7525799","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525799","url":null,"abstract":"The aim of the project is the development of the multidiagnostic system with remote access that carrying out the long-term rehabilitation of patients with postural deficits. The system allows the physician-rehabilitator to monitor the rehabilitation process based on the analysis of the dynamics of ECG, EEG, EMG and stabilograms with the implementation of biological feedback. There was proposed the addition to the system with fiber optic blood pressure measuring transducer using the tunnel effect in the nanometer range.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122842443","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525783
A. Draganic, I. Orović, S. Stankovic, Xiumei Li, Zhi Wang
The procedure for the classification and reconstruction of randomly under-sampled signals transmitted through the communication channel, is proposed in this paper. The focus of this work is on the wireless communication signals that operate in the same frequency band and may interfere with each other. In the first stage, the separation of signal components is done by applying the concept of eigenvalue decomposition. Next, the compressive sensing approach is used to reduce the number of transmitted samples and to provide accurate signal reconstruction upon transmission. In the last step, the classification is done by observing the time-frequency characteristics of reconstructed separated components. The theory is proved by the experimental results.
{"title":"Reconstruction and classification of wireless signals based on compressive sensing approach","authors":"A. Draganic, I. Orović, S. Stankovic, Xiumei Li, Zhi Wang","doi":"10.1109/MECO.2016.7525783","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525783","url":null,"abstract":"The procedure for the classification and reconstruction of randomly under-sampled signals transmitted through the communication channel, is proposed in this paper. The focus of this work is on the wireless communication signals that operate in the same frequency band and may interfere with each other. In the first stage, the separation of signal components is done by applying the concept of eigenvalue decomposition. Next, the compressive sensing approach is used to reduce the number of transmitted samples and to provide accurate signal reconstruction upon transmission. In the last step, the classification is done by observing the time-frequency characteristics of reconstructed separated components. The theory is proved by the experimental results.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122843314","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525717
Ivana Milas, Bozidarka Radovic, Danilo Jankovic
A new audio watermarking algorithm based on Discrete Cosine Transformation (DCT) domain is presented. Watermark embedding procedure relies on probability density function (pdf) modeling. The proposed method ensures optimal detection for weak watermarks even when they are exposed to some common attacks such as noise addition and compression. The performance of this technique is evaluated in terms of Signal to Noise Ratio (SNR).
{"title":"A new audio watermarking method with optimal detection","authors":"Ivana Milas, Bozidarka Radovic, Danilo Jankovic","doi":"10.1109/MECO.2016.7525717","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525717","url":null,"abstract":"A new audio watermarking algorithm based on Discrete Cosine Transformation (DCT) domain is presented. Watermark embedding procedure relies on probability density function (pdf) modeling. The proposed method ensures optimal detection for weak watermarks even when they are exposed to some common attacks such as noise addition and compression. The performance of this technique is evaluated in terms of Signal to Noise Ratio (SNR).","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122941228","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525711
D. Tarasov
The paper describes back-to-front approach to precision low noise analog front end design. Good practice examples are given for active components selection, unusual approach to noise reduction is implemented. System performance and noise levels are evaluated and experimentally verified in situ.
{"title":"High dynamic range low cost DAQ system for precision instrumentation","authors":"D. Tarasov","doi":"10.1109/MECO.2016.7525711","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525711","url":null,"abstract":"The paper describes back-to-front approach to precision low noise analog front end design. Good practice examples are given for active components selection, unusual approach to noise reduction is implemented. System performance and noise levels are evaluated and experimentally verified in situ.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127683322","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525784
A. Draganic, I. Orović, S. Stankovic, Xiumei Li
Sparsity of the ISAR images is exploited with the aim to use the possibility of applying an under-sampling strategy as assumed by the compressive sensing approach. The signal sparsity is a desirable property that needs to be satisfied in order to reconstruct the signals and images from the compressive sensed data. It is assumed that certain amount of radar data is not available and the idea is to reconstruct the radar image from the rest of the data. The signal samples are observed in the spatial domain, and the reconstruction is based on the total variation minimization. The procedure is tested on both, synthetic and real ISAR image, showing satisfactory reconstruction quality with a small set of acquired samples.
{"title":"ISAR reconstruction from incomplete data using total variation optimization","authors":"A. Draganic, I. Orović, S. Stankovic, Xiumei Li","doi":"10.1109/MECO.2016.7525784","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525784","url":null,"abstract":"Sparsity of the ISAR images is exploited with the aim to use the possibility of applying an under-sampling strategy as assumed by the compressive sensing approach. The signal sparsity is a desirable property that needs to be satisfied in order to reconstruct the signals and images from the compressive sensed data. It is assumed that certain amount of radar data is not available and the idea is to reconstruct the radar image from the rest of the data. The signal samples are observed in the spatial domain, and the reconstruction is based on the total variation minimization. The procedure is tested on both, synthetic and real ISAR image, showing satisfactory reconstruction quality with a small set of acquired samples.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"129 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734911","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525704
Dmitry I. Ustukov, Y. Muratov, M. Nikiforov, V. Gurov
Algorithms of dense stereovision can be of great interest for designing computer vision systems of autonomous mobile objects. Modern FPGA are the ideal choice in case of designing high-performance special-purpose calculators with low power consumption. Nevertheless the synthesis of these algorithms in FPGA causes substantial difficulties (lack of crystal resources, delays in signal propagation, etc.). The article gives the review of methods and ideas implemented in case of synthesis of stereovision algorithms on FPGA XILINX XC7VX485T. The evaluation of crystal resources required for synthesis as well as the result of firmware operation in Virtex 7 v707 debugging kit are given.
{"title":"Implementing one of stereovision algorithms on FPGA","authors":"Dmitry I. Ustukov, Y. Muratov, M. Nikiforov, V. Gurov","doi":"10.1109/MECO.2016.7525704","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525704","url":null,"abstract":"Algorithms of dense stereovision can be of great interest for designing computer vision systems of autonomous mobile objects. Modern FPGA are the ideal choice in case of designing high-performance special-purpose calculators with low power consumption. Nevertheless the synthesis of these algorithms in FPGA causes substantial difficulties (lack of crystal resources, delays in signal propagation, etc.). The article gives the review of methods and ideas implemented in case of synthesis of stereovision algorithms on FPGA XILINX XC7VX485T. The evaluation of crystal resources required for synthesis as well as the result of firmware operation in Virtex 7 v707 debugging kit are given.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126621000","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525688
E. Žunić, Almir Djedovic, D. Boskovic
The aim of this work is to promote the application of computer science and skills in projecting web-based and mobile systems for training and improving in the field of biomedical engineering. The main role of such project system is reflected in unification and publishing educational contents in the fields of ECG signals, assigned for students and teachers of medicine and biomedical engineering. The system may also feature realistic ECG signals and support both learning and examination. The proper interpretation and detecting of different waves and intervals of electric heart activities are of primary interest for the application of computer systems in processing of the ECG signals. The presentation of this signal has been performed in several different ways, where each of them helps better understanding of certain anomaly that occurs in it. Several algorithms for the detection of QRS complex have been analyzed and compared, and the algorithm showing best results by several criteria, has been implemented. The additional possibility is the signal analysis in the form of heart rate variability. In order to be widely used, the application has been realized in the form of content management system (CMS). In this structure, the implemented system is a typical example of three-layer software architecture.
{"title":"Web-based and mobile system for training and improving in the field of electrocardiogram (ECG)","authors":"E. Žunić, Almir Djedovic, D. Boskovic","doi":"10.1109/MECO.2016.7525688","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525688","url":null,"abstract":"The aim of this work is to promote the application of computer science and skills in projecting web-based and mobile systems for training and improving in the field of biomedical engineering. The main role of such project system is reflected in unification and publishing educational contents in the fields of ECG signals, assigned for students and teachers of medicine and biomedical engineering. The system may also feature realistic ECG signals and support both learning and examination. The proper interpretation and detecting of different waves and intervals of electric heart activities are of primary interest for the application of computer systems in processing of the ECG signals. The presentation of this signal has been performed in several different ways, where each of them helps better understanding of certain anomaly that occurs in it. Several algorithms for the detection of QRS complex have been analyzed and compared, and the algorithm showing best results by several criteria, has been implemented. The additional possibility is the signal analysis in the form of heart rate variability. In order to be widely used, the application has been realized in the form of content management system (CMS). In this structure, the implemented system is a typical example of three-layer software architecture.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126393589","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525782
G. Laštovička-Medin
The role of CubeSat for education is well established. Nano satellites provides an appealing way for training students to space activities and more generally to complex technological projects, from fundamental and engineering science to project management and communication. Nano-satellites represent also an excellent alternative to instrumental testing. In this paper we explored the CubeSats as lab in space for biosciences such as astrobiology and astrochemistry.
{"title":"CubeSats as space labs for measurements of ubiquity of biological evolution","authors":"G. Laštovička-Medin","doi":"10.1109/MECO.2016.7525782","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525782","url":null,"abstract":"The role of CubeSat for education is well established. Nano satellites provides an appealing way for training students to space activities and more generally to complex technological projects, from fundamental and engineering science to project management and communication. Nano-satellites represent also an excellent alternative to instrumental testing. In this paper we explored the CubeSats as lab in space for biosciences such as astrobiology and astrochemistry.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124934280","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525713
Zivorad Mihajlovic, V. Milosavljevic, D. Vasiljević, A. Joza, V. Rajs, M. Zivanov
Specific requirements in the design of modern electronic devices have increased popularity of flexible printed circuits. In recent years, with the application of new materials and their printing on a flexible substrate, a large number of new flexible sensors have been developed. In this paper, the implementation of a device made by ink-jet printing on a flexible substrate is described. Fully flexible prototype is composed of sensors, microcontroller, wireless communication and energy harvesting power supply, which is suitable for wearable applications. Ultra-low-power microcontroller is used for reading data from sensors and for managing short range wireless communication. Supercapacitor and energy harvesting from photovoltaic cell are used to power device. The designed prototype is mounted on the back side of solar panel, which is also flexible. The paper describes the procedures used in design process and gives basic explanation of electronic subsystems. The first prototype proved to be a functional solution and can be efficiently used in applications with flexible sensors.
{"title":"Implementation of wearable energy harvesting wireless sensor node using ink-jet printing on flexible substrate","authors":"Zivorad Mihajlovic, V. Milosavljevic, D. Vasiljević, A. Joza, V. Rajs, M. Zivanov","doi":"10.1109/MECO.2016.7525713","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525713","url":null,"abstract":"Specific requirements in the design of modern electronic devices have increased popularity of flexible printed circuits. In recent years, with the application of new materials and their printing on a flexible substrate, a large number of new flexible sensors have been developed. In this paper, the implementation of a device made by ink-jet printing on a flexible substrate is described. Fully flexible prototype is composed of sensors, microcontroller, wireless communication and energy harvesting power supply, which is suitable for wearable applications. Ultra-low-power microcontroller is used for reading data from sensors and for managing short range wireless communication. Supercapacitor and energy harvesting from photovoltaic cell are used to power device. The designed prototype is mounted on the back side of solar panel, which is also flexible. The paper describes the procedures used in design process and gives basic explanation of electronic subsystems. The first prototype proved to be a functional solution and can be efficiently used in applications with flexible sensors.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518314","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}
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