Pub Date : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336416
Sajila D. Wickramaratne, Md Shaad Mahmud
Functional near-infrared spectroscopy (fNIRS) is a non-invasive, low-cost method used to study the brain's blood flow pattern. Such patterns can enable us to classify performed by a subject. In recent research, most classification systems use traditional machine learning algorithms for the classification of tasks. These methods, which are easier to implement, usually suffer from low accuracy. Further, a complex pre-processing phase is required for data preparation before implementing traditional machine learning methods. The proposed system uses a Bi-Directional LSTM based deep learning architecture for task classification, including mental arithmetic, motor imagery, and idle state using fNIRS data. Further, this system will require less pre-processing than the traditional approach, saving time and computational resources while obtaining an accuracy of 81.48%, which is considerably higher than the accuracy obtained using conventional machine learning algorithms for the same data set.
{"title":"A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS","authors":"Sajila D. Wickramaratne, Md Shaad Mahmud","doi":"10.1109/ICIIBMS50712.2020.9336416","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336416","url":null,"abstract":"Functional near-infrared spectroscopy (fNIRS) is a non-invasive, low-cost method used to study the brain's blood flow pattern. Such patterns can enable us to classify performed by a subject. In recent research, most classification systems use traditional machine learning algorithms for the classification of tasks. These methods, which are easier to implement, usually suffer from low accuracy. Further, a complex pre-processing phase is required for data preparation before implementing traditional machine learning methods. The proposed system uses a Bi-Directional LSTM based deep learning architecture for task classification, including mental arithmetic, motor imagery, and idle state using fNIRS data. Further, this system will require less pre-processing than the traditional approach, saving time and computational resources while obtaining an accuracy of 81.48%, which is considerably higher than the accuracy obtained using conventional machine learning algorithms for the same data set.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116242864","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336429
Y. Liu, Xinxin Yuan, Tingting Xiong, Chunya Wang
In The common olfactory system odor recognition is processed by the electronic nose collecting sensor data, but the odor data collection of substances is easily affected by the environment and the processing is complicated, which is prone to deviation. This paper proposes a method based on big data analysis. According to the different chemical structure characteristics of different odor substances, the BP neural network is used to build a model to classify and recognize similar odors, and compare it with the traditional PCA+LDA recognition method. The results show that the establishment of a similar odor recognition model can accurately classify substances with similar odors, and the BP neural network algorithm is used to identify different substances with a higher rate of odor recognition. This method is stable and simple, and can provide different ideas for odor identification.
{"title":"Research on Similar Odor Recognition Based on Big Data Analysis","authors":"Y. Liu, Xinxin Yuan, Tingting Xiong, Chunya Wang","doi":"10.1109/ICIIBMS50712.2020.9336429","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336429","url":null,"abstract":"In The common olfactory system odor recognition is processed by the electronic nose collecting sensor data, but the odor data collection of substances is easily affected by the environment and the processing is complicated, which is prone to deviation. This paper proposes a method based on big data analysis. According to the different chemical structure characteristics of different odor substances, the BP neural network is used to build a model to classify and recognize similar odors, and compare it with the traditional PCA+LDA recognition method. The results show that the establishment of a similar odor recognition model can accurately classify substances with similar odors, and the BP neural network algorithm is used to identify different substances with a higher rate of odor recognition. This method is stable and simple, and can provide different ideas for odor identification.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116261586","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336405
Y. Liu, Xinxin Yuan, Jinpeng Ren, Zixuan Lu
In order to improve the problem of unequal suspension positions in the traditional license plate recognition system, this paper introduces the convolutional neural network algorithm into the license plate recognition system, and conducts a series of tests and corrections to meet the current license plate recognition system. This paper proposes for the first time that the flood filling algorithm is applied to the preprocessing of the license plate image, the recognized contour is divided into regions, and then the license plate inclination angle is offset, and rough positioning and cutting are performed to make the vehicle shot from the side The picture can also fully identify the license plate, and finally judge according to the aspect ratio of the license plate and the standard aspect ratio, and get whether the recognized license plate is. The experimental results show that the model utilizes the advantages of convolutional neural network so that the model can recognize classification features more accurately.
{"title":"License Plate Recognition Algorithm Based on Convolutional Neural Network","authors":"Y. Liu, Xinxin Yuan, Jinpeng Ren, Zixuan Lu","doi":"10.1109/ICIIBMS50712.2020.9336405","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336405","url":null,"abstract":"In order to improve the problem of unequal suspension positions in the traditional license plate recognition system, this paper introduces the convolutional neural network algorithm into the license plate recognition system, and conducts a series of tests and corrections to meet the current license plate recognition system. This paper proposes for the first time that the flood filling algorithm is applied to the preprocessing of the license plate image, the recognized contour is divided into regions, and then the license plate inclination angle is offset, and rough positioning and cutting are performed to make the vehicle shot from the side The picture can also fully identify the license plate, and finally judge according to the aspect ratio of the license plate and the standard aspect ratio, and get whether the recognized license plate is. The experimental results show that the model utilizes the advantages of convolutional neural network so that the model can recognize classification features more accurately.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128860294","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336409
A. Masumi, Takashi Sato
Social conventions governs our social behavior in many ways, ranging from left- and right-hand traffic to a way of greeting. We sometimes find inefficient social conventions like bullying in a class are formed, where almost of the people in the group are at a disadvantage. Although such conventions can be disadvantageous for all the people in the group, why are those conventions formed and continue to be maintained? A conformity bias, behavioral tendency with which people take an action that a majority of the group take, can be one of key ingredients of this phenomena. In this study, we investigated the impact of the conformity bias to the formation of social convention with a multi-agent simulations. Analysing stationary states of the dynamics of the model, we found that the conformity bias can drive the formation of both of efficient and inefficient social convention depending on an extent of the bias.
{"title":"The formation of efficient and inefficient social convention driven by conformity bias","authors":"A. Masumi, Takashi Sato","doi":"10.1109/ICIIBMS50712.2020.9336409","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336409","url":null,"abstract":"Social conventions governs our social behavior in many ways, ranging from left- and right-hand traffic to a way of greeting. We sometimes find inefficient social conventions like bullying in a class are formed, where almost of the people in the group are at a disadvantage. Although such conventions can be disadvantageous for all the people in the group, why are those conventions formed and continue to be maintained? A conformity bias, behavioral tendency with which people take an action that a majority of the group take, can be one of key ingredients of this phenomena. In this study, we investigated the impact of the conformity bias to the formation of social convention with a multi-agent simulations. Analysing stationary states of the dynamics of the model, we found that the conformity bias can drive the formation of both of efficient and inefficient social convention depending on an extent of the bias.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121168394","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336407
Min Zhang, Y. Wan-jun, Naimeng Cang, Yu Tian, Jun-Yi Tang, Miao Zhang
With the rapid development of social economy, the frequency of fires is increasing day by day, and indoor fires in buildings are particularly harmful to humans. Aiming at the current situation, an indoor fire early warning system based on video surveillance and smoke sensing is proposed. Using video images to identify and monitor flames, and at the same time use smoke sensors to detect and prevent fires, and issue corresponding alarms to indoor fire conditions, which can increase the accuracy of fire identification and reduce waste of resources. It effectively reduces the false alarm rate and the false alarm rate, and improves the reliability of the entire fire warning system.
{"title":"Research on Indoor Fire Early Warning System Based on Video Image and Smoke Sensor","authors":"Min Zhang, Y. Wan-jun, Naimeng Cang, Yu Tian, Jun-Yi Tang, Miao Zhang","doi":"10.1109/ICIIBMS50712.2020.9336407","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336407","url":null,"abstract":"With the rapid development of social economy, the frequency of fires is increasing day by day, and indoor fires in buildings are particularly harmful to humans. Aiming at the current situation, an indoor fire early warning system based on video surveillance and smoke sensing is proposed. Using video images to identify and monitor flames, and at the same time use smoke sensors to detect and prevent fires, and issue corresponding alarms to indoor fire conditions, which can increase the accuracy of fire identification and reduce waste of resources. It effectively reduces the false alarm rate and the false alarm rate, and improves the reliability of the entire fire warning system.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126323644","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336393
Xin Zhao, Pin Qian, Na Lu, Yaoyao Li
With the increasing use of ultrasonic ranging syste ms, their requirements are also increasing, requiring more accur ate measuring equipment. A design scheme of ultrasonic ranging system based on STM32 single chip microcomputer is proposed. Compared with the traditional SCM(single chip microcomputer), the main frequency and timer frequency of STM32 are as high a s 72 MHz, which improves the resolution of time measurement. When the timer is started, the PWM channel is started to drive the ultrasonic transmitter and the capture channel is input to cap ture the echo signal, which improves the measurement accuracy. On the basis of fully analyzing the blind area and error of ultrasonic ranging, the double operation amplifying circuit and band pass filtering circuit are designed, and the peak time of echo signal is detected by software algorithm, which simplifies the circuit. Experimental results show that the measurement accuracy of the system is high and the blind area is as low as 25mm.
{"title":"Design and Experimental Study of High Precision Ultrasonic Ranging System","authors":"Xin Zhao, Pin Qian, Na Lu, Yaoyao Li","doi":"10.1109/ICIIBMS50712.2020.9336393","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336393","url":null,"abstract":"With the increasing use of ultrasonic ranging syste ms, their requirements are also increasing, requiring more accur ate measuring equipment. A design scheme of ultrasonic ranging system based on STM32 single chip microcomputer is proposed. Compared with the traditional SCM(single chip microcomputer), the main frequency and timer frequency of STM32 are as high a s 72 MHz, which improves the resolution of time measurement. When the timer is started, the PWM channel is started to drive the ultrasonic transmitter and the capture channel is input to cap ture the echo signal, which improves the measurement accuracy. On the basis of fully analyzing the blind area and error of ultrasonic ranging, the double operation amplifying circuit and band pass filtering circuit are designed, and the peak time of echo signal is detected by software algorithm, which simplifies the circuit. Experimental results show that the measurement accuracy of the system is high and the blind area is as low as 25mm.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124358707","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 : 2020-11-18DOI: 10.1109/iciibms50712.2020.9336197
Haokang Wen, F. Dai, Dejin Wang
With the development of computer vision systems, image enhancement has become an important research direction in computer vision. Image defogging technology is widely used in the systems of satellite remote sensing, aerial photography, target recognition and outdoor monitoring. People use image defogging technology to enhance or repair those low-quality pictures affected by fog and haze to improve visual effects and facilitate later image processing. This paper introduces the application field of image enhancement technology, and introduces the classic defogging algorithm in image defogging technology: the Retinex algorithm. In this paper, the algorithm is used to defog the pictures affected by smog in different scenes, and the advantages and disadvantages of the Retinex defogging algorithm are discussed according to the enhanced effect. Finally, this paper analyzes the effectiveness and practicality of using the Retinex algorithm for image enhancement in different scenes.
{"title":"A Survey of Image Dehazing Algorithm Based on Retinex Theory","authors":"Haokang Wen, F. Dai, Dejin Wang","doi":"10.1109/iciibms50712.2020.9336197","DOIUrl":"https://doi.org/10.1109/iciibms50712.2020.9336197","url":null,"abstract":"With the development of computer vision systems, image enhancement has become an important research direction in computer vision. Image defogging technology is widely used in the systems of satellite remote sensing, aerial photography, target recognition and outdoor monitoring. People use image defogging technology to enhance or repair those low-quality pictures affected by fog and haze to improve visual effects and facilitate later image processing. This paper introduces the application field of image enhancement technology, and introduces the classic defogging algorithm in image defogging technology: the Retinex algorithm. In this paper, the algorithm is used to defog the pictures affected by smog in different scenes, and the advantages and disadvantages of the Retinex defogging algorithm are discussed according to the enhanced effect. Finally, this paper analyzes the effectiveness and practicality of using the Retinex algorithm for image enhancement in different scenes.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122025798","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336417
Dandan Zhang, Lan Chen, Yajun Wu
In this paper, a high-precision Fast Fourier Transform algorithm is provided. Using the IP core provided in ISE, a software developed by Xilinx company, 16384 points of discrete data are calculated by Fast Fourier Transform. Using ISE, the simulation operation of FAST Fourier Transform of IEEE-754 floating point data and traditional fixed-point data was carried out, and the simulation results were compared and analyzed with those of MATLAB. In order to improve the precision of Fast Fourier Fransform, a comparative study is carried out from the aspects of operation time, resource consumption and precision. The simulation results show that the accuracy of IEEE-754 single precision floating-point simulation is significantly higher than that of fixed-point simulation. Therefore, IEEE 754 can greatly improve the operation accuracy of Fast Fourier Transform.
{"title":"Research on High Precision FFT Algorithm Based on FPGA","authors":"Dandan Zhang, Lan Chen, Yajun Wu","doi":"10.1109/ICIIBMS50712.2020.9336417","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336417","url":null,"abstract":"In this paper, a high-precision Fast Fourier Transform algorithm is provided. Using the IP core provided in ISE, a software developed by Xilinx company, 16384 points of discrete data are calculated by Fast Fourier Transform. Using ISE, the simulation operation of FAST Fourier Transform of IEEE-754 floating point data and traditional fixed-point data was carried out, and the simulation results were compared and analyzed with those of MATLAB. In order to improve the precision of Fast Fourier Fransform, a comparative study is carried out from the aspects of operation time, resource consumption and precision. The simulation results show that the accuracy of IEEE-754 single precision floating-point simulation is significantly higher than that of fixed-point simulation. Therefore, IEEE 754 can greatly improve the operation accuracy of Fast Fourier Transform.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126299364","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336426
Lanjun Liang, Huailin Zhao
The paper designs an automatic control system for restaurant food delivery based on PLC, including the mechanical structure and automatic control system design. The mechanical structure of the system includes horizontal delivery subsystems and a vertical delivery subsystem. The automatic control system includes PLC control and the human-machine interface, which realizes the entire system's automation. At the end of the paper, we analyze the whole system's reliability and economy to reflect the characteristics and practicability of the automatic control system.
{"title":"Design Of The Automatic Control System For Restaurant Food Delivery Based On PLC","authors":"Lanjun Liang, Huailin Zhao","doi":"10.1109/ICIIBMS50712.2020.9336426","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336426","url":null,"abstract":"The paper designs an automatic control system for restaurant food delivery based on PLC, including the mechanical structure and automatic control system design. The mechanical structure of the system includes horizontal delivery subsystems and a vertical delivery subsystem. The automatic control system includes PLC control and the human-machine interface, which realizes the entire system's automation. At the end of the paper, we analyze the whole system's reliability and economy to reflect the characteristics and practicability of the automatic control system.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"24 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013203","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 : 2020-11-18DOI: 10.1109/ICIIBMS50712.2020.9336398
Leonel E. Medina, Manuel Villalobos-Cid, Arturo Álvarez, P. Chaná-Cuevas
The increasing number of hospitalizations due to the ongoing pandemic has brought medical devices to the forefront of clinical management. For instance, mechanical ventilation is managed via administration of analgesia in combination with neuromuscular blocking agents, and hence, Neuromuscular Blockade Monitoring (NBM) devices are often needed in intensive care units. However, NBM devices are costly and, consequently, not widely available across low- and middle-income countries. Here, we present a prototype of an acceleromyography-based NBM device that we built using low-cost, over-the-counter, open-source software and hardware. Our prototype includes an accelerometer to record finger movement in response to electrical stimulation delivered by a TENS unit, and is able to detect muscle twitches in real-time to calculate and display metrics of the Train-of-Four (ToF) protocol used in clinics. Experimental measurements in a healthy subject suggest that our prototype can be used to quantify clinical variables in an apparently reliable manner, and so this prototype shows great promise in being able to transition into higher developing stages.
{"title":"Design of a low-cost neuromuscular blockade monitoring device","authors":"Leonel E. Medina, Manuel Villalobos-Cid, Arturo Álvarez, P. Chaná-Cuevas","doi":"10.1109/ICIIBMS50712.2020.9336398","DOIUrl":"https://doi.org/10.1109/ICIIBMS50712.2020.9336398","url":null,"abstract":"The increasing number of hospitalizations due to the ongoing pandemic has brought medical devices to the forefront of clinical management. For instance, mechanical ventilation is managed via administration of analgesia in combination with neuromuscular blocking agents, and hence, Neuromuscular Blockade Monitoring (NBM) devices are often needed in intensive care units. However, NBM devices are costly and, consequently, not widely available across low- and middle-income countries. Here, we present a prototype of an acceleromyography-based NBM device that we built using low-cost, over-the-counter, open-source software and hardware. Our prototype includes an accelerometer to record finger movement in response to electrical stimulation delivered by a TENS unit, and is able to detect muscle twitches in real-time to calculate and display metrics of the Train-of-Four (ToF) protocol used in clinics. Experimental measurements in a healthy subject suggest that our prototype can be used to quantify clinical variables in an apparently reliable manner, and so this prototype shows great promise in being able to transition into higher developing stages.","PeriodicalId":243033,"journal":{"name":"2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134142725","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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