Pub Date : 2019-11-01DOI: 10.1109/BIA48344.2019.8967462
L. Anishchenko, Ksenia Evteeva, L. Korostovtseva, M. Bochkarev, Y. Sviryaev
Bioradiolocation is a remote method for diagnostics by means of a radar. In particular, it may be used for respiratory rate determination. In this paper we are going to present a developed algorithm for detection of movement artefacts in a bioradar signal and further signal processing to obtain an information about respiratory rates for persons with sleep apnea at different positions of a human body during sleep.
{"title":"Respiratory Rate Determination during Sleep by CW Doppler Radar","authors":"L. Anishchenko, Ksenia Evteeva, L. Korostovtseva, M. Bochkarev, Y. Sviryaev","doi":"10.1109/BIA48344.2019.8967462","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967462","url":null,"abstract":"Bioradiolocation is a remote method for diagnostics by means of a radar. In particular, it may be used for respiratory rate determination. In this paper we are going to present a developed algorithm for detection of movement artefacts in a bioradar signal and further signal processing to obtain an information about respiratory rates for persons with sleep apnea at different positions of a human body during sleep.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"28 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78145356","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967464
M. Karova, I. Penev
The paper presents an algorithm for preprocessing the HTML code of email messages; this is used in email client applications (such as Gmail App and Microsoft Outlook). The purpose is to create an easy-to-use tool, automatically inserting pre-declared styles from the tag to tag of the HTML document. The algorithm implements the main steps of the language processing: lexical analysis, symbol table construction, parsing and generation of preprocessed HTML code. These steps are described in the paper. Experimental results of running the algorithm are presented.
{"title":"Algorithm for HTML Preprocessing in Email Messages","authors":"M. Karova, I. Penev","doi":"10.1109/BIA48344.2019.8967464","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967464","url":null,"abstract":"The paper presents an algorithm for preprocessing the HTML code of email messages; this is used in email client applications (such as Gmail App and Microsoft Outlook). The purpose is to create an easy-to-use tool, automatically inserting pre-declared styles from the tag to tag of the HTML document. The algorithm implements the main steps of the language processing: lexical analysis, symbol table construction, parsing and generation of preprocessed HTML code. These steps are described in the paper. Experimental results of running the algorithm are presented.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"11 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82266901","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967479
N. Grozev
Propagation measurements survey over Black Sea was performed between Crimea peninsula, Turkey and Bulgaria. Twenty one very high frequency range radio broadcasting transmitters were used, transmitting both, analog and digital signals from five different points. Eight propagation paths with path lengths from 265 to 484 km and different antenna heights were monitored almost simultaneously. Detailed data and results are provided and might be used for propagation model verification, or detailed evaluation of interference between stations, working in the same or adjacent frequency channels, to avoid unacceptable interference due to long-distance tropospheric propagation.
{"title":"Radiowave Propagation over Black Sea – Measurements Survey","authors":"N. Grozev","doi":"10.1109/BIA48344.2019.8967479","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967479","url":null,"abstract":"Propagation measurements survey over Black Sea was performed between Crimea peninsula, Turkey and Bulgaria. Twenty one very high frequency range radio broadcasting transmitters were used, transmitting both, analog and digital signals from five different points. Eight propagation paths with path lengths from 265 to 484 km and different antenna heights were monitored almost simultaneously. Detailed data and results are provided and might be used for propagation model verification, or detailed evaluation of interference between stations, working in the same or adjacent frequency channels, to avoid unacceptable interference due to long-distance tropospheric propagation.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"38 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78069942","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967448
A. Akbarimajd
Body weight support (BWS) unit is an important and crucial unit in modern rehabilitation systems. It can assist the patients with weak lower muscles and help quick recovery by compensating the gravitational forces acting on the legs by inserting an assisted force. Thus controlling of applied force to have smooth, fast and accurate response is an important issue. Different control structures have been proposed to control different BWS units. One of the neural network based controllers is NARMA-L2 that have provided good performance in identification and control of different applications. In this paper a NARMA-L2 controller is employed to force control of series elastic based BWS unit. Simulation results in MATLAB shows that the proposed controller has better control performance in comparison with two other recently used control structures.
体重支持单元(Body weight support unit, BWS)是现代康复系统中重要而关键的单元。它可以通过插入辅助力来补偿作用在腿部上的重力，从而帮助下肢肌肉无力的患者快速恢复。因此，如何控制施加力以获得平稳、快速和准确的响应是一个重要的问题。针对不同的BWS单元，提出了不同的控制结构。NARMA-L2是一种基于神经网络的控制器，在各种应用的识别和控制方面表现良好。本文采用NARMA-L2控制器对串联弹性BWS机组进行力控制。MATLAB仿真结果表明，与目前常用的两种控制结构相比，该控制器具有更好的控制性能。
{"title":"NARMA-L2 Controller for Series Elastic Based Body Weight Support System","authors":"A. Akbarimajd","doi":"10.1109/BIA48344.2019.8967448","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967448","url":null,"abstract":"Body weight support (BWS) unit is an important and crucial unit in modern rehabilitation systems. It can assist the patients with weak lower muscles and help quick recovery by compensating the gravitational forces acting on the legs by inserting an assisted force. Thus controlling of applied force to have smooth, fast and accurate response is an important issue. Different control structures have been proposed to control different BWS units. One of the neural network based controllers is NARMA-L2 that have provided good performance in identification and control of different applications. In this paper a NARMA-L2 controller is employed to force control of series elastic based BWS unit. Simulation results in MATLAB shows that the proposed controller has better control performance in comparison with two other recently used control structures.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"13 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81548726","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967476
Benedikt Baldursson, Behnood Rasti, Karl S. Gudmundsson, D. Cojocaru, Kristinn Andersen, Saemundur E. Thorsteinsson
This paper proposes a non-invasive control system for electrical wheelchairs utilizing facial gestures of individuals captured by real-time monocular camera. The images are interpreted with a convolutional neural network that achieves up to ~99.5% overall accuracy. The control system uses an embedded system with a graphics processing unit for predicting real-time throughput with fast inference time. This solution offers great versatility, where the user can make a gesture to depict a command of his choice.
{"title":"Gesture Interpretation Control System Using Convolutional Neural Networks","authors":"Benedikt Baldursson, Behnood Rasti, Karl S. Gudmundsson, D. Cojocaru, Kristinn Andersen, Saemundur E. Thorsteinsson","doi":"10.1109/BIA48344.2019.8967476","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967476","url":null,"abstract":"This paper proposes a non-invasive control system for electrical wheelchairs utilizing facial gestures of individuals captured by real-time monocular camera. The images are interpreted with a convolutional neural network that achieves up to ~99.5% overall accuracy. The control system uses an embedded system with a graphics processing unit for predicting real-time throughput with fast inference time. This solution offers great versatility, where the user can make a gesture to depict a command of his choice.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"43 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74881067","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967478
V. Aleksieva, H. Valchanov, D. Dinev
This paper presents a comparison study of proposed by the authors LiFi prototype with other similar LiFi prototypes. There are presented results about the influence of different environment factors on successful communication, such as sunlight illuminance, glass border and saline water. A comparative analysis between authors’ prototype and other devices is made. Criteria for this analysis are proposed. The obtained experimental results show that the proposed prototype is better than other studied devices.
{"title":"Comparison Study of Prototypes based on LiFi Technology","authors":"V. Aleksieva, H. Valchanov, D. Dinev","doi":"10.1109/BIA48344.2019.8967478","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967478","url":null,"abstract":"This paper presents a comparison study of proposed by the authors LiFi prototype with other similar LiFi prototypes. There are presented results about the influence of different environment factors on successful communication, such as sunlight illuminance, glass border and saline water. A comparative analysis between authors’ prototype and other devices is made. Criteria for this analysis are proposed. The obtained experimental results show that the proposed prototype is better than other studied devices.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81141800","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967457
V. Markova, T. Ganchev, Kalin Kalinkov
We present the overall design and the implementation of the CLAS dataset, a multimodal resource which was purposely developed in support of research and technology development (RTD) activities oriented towards the automated recognition of some specific states of mind. Although the particular focus of our research is on the states of mind associated with negative emotions, mental strain and high cognitive effort, the CLAS dataset could offer an adequate support to research of a wider scope, such as general studies on attention assessment, cognitive load assessment, emotion recognition, as well as stress detection. The dataset consists of synchronized recordings of physiological signals, such as Electrocardiography (ECG), Plethysmography (PPG), ElectroDermal Activity (EDA), as well as accelerometer data, and metadata of 62 healthy volunteers, which were recorded while involved in three interactive tasks and two perceptive tasks. The interactive tasks aim to elicit different types of cognitive effort and included solving sequences of Math problems, Logic problems and the Stroop test. The perceptive tasks make use of images and audio-video stimuli, purposely selected to evoke emotions in the four quadrants of the arousal-valence space. The joint analysis of success rates in the interactive tasks and the information acquired through the questionnaire and the physiological recordings enables for a multifaceted evaluation of specific states of mind. These results are important for the advancement of research on efficient human-robot collaborations and general research on intelligent human-machine interaction interfaces.
{"title":"CLAS: A Database for Cognitive Load, Affect and Stress Recognition","authors":"V. Markova, T. Ganchev, Kalin Kalinkov","doi":"10.1109/BIA48344.2019.8967457","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967457","url":null,"abstract":"We present the overall design and the implementation of the CLAS dataset, a multimodal resource which was purposely developed in support of research and technology development (RTD) activities oriented towards the automated recognition of some specific states of mind. Although the particular focus of our research is on the states of mind associated with negative emotions, mental strain and high cognitive effort, the CLAS dataset could offer an adequate support to research of a wider scope, such as general studies on attention assessment, cognitive load assessment, emotion recognition, as well as stress detection. The dataset consists of synchronized recordings of physiological signals, such as Electrocardiography (ECG), Plethysmography (PPG), ElectroDermal Activity (EDA), as well as accelerometer data, and metadata of 62 healthy volunteers, which were recorded while involved in three interactive tasks and two perceptive tasks. The interactive tasks aim to elicit different types of cognitive effort and included solving sequences of Math problems, Logic problems and the Stroop test. The perceptive tasks make use of images and audio-video stimuli, purposely selected to evoke emotions in the four quadrants of the arousal-valence space. The joint analysis of success rates in the interactive tasks and the information acquired through the questionnaire and the physiological recordings enables for a multifaceted evaluation of specific states of mind. These results are important for the advancement of research on efficient human-robot collaborations and general research on intelligent human-machine interaction interfaces.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"62 2 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73247375","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 : 2019-11-01DOI: 10.1109/BIA48344.2019.8967463
G. Spasova
The article discusses the problem of segmented sky in images of water areas. The discovery of contours of water sources in an image is related to the separation of the sky as an air mass, not a water source. Sky and water have RGB in the blue rock. An algorithm that differentiates the sky from the water is implemented. The application was implemented on MATLAB and tested on various images.
{"title":"A method for distinguishing sky from water in an image","authors":"G. Spasova","doi":"10.1109/BIA48344.2019.8967463","DOIUrl":"https://doi.org/10.1109/BIA48344.2019.8967463","url":null,"abstract":"The article discusses the problem of segmented sky in images of water areas. The discovery of contours of water sources in an image is related to the separation of the sky as an air mass, not a water source. Sky and water have RGB in the blue rock. An algorithm that differentiates the sky from the water is implemented. The application was implemented on MATLAB and tested on various images.","PeriodicalId":6688,"journal":{"name":"2019 International Conference on Biomedical Innovations and Applications (BIA)","volume":"104 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87580081","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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