Pub Date : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990297
Worapong Narongwongwathana, P. Punyabukkana, W. Kitisomprayoonkul, W. Chonnaparamutt
The stroke patient needs to get an assessment for planning the recovery process, which is used to prepare an appropriate rehabilitation. Fugl-Meyer assessment is a popular protocol that covers all levels of physical conditions, but generally the protocol must be used by an expert for an accurate result. Furthermore, the assessment takes a long time period to be done. So, this research presents a novel assessment system, which called "Wearable Assessment Arm Motion: WAAM". The system has an aim to assist the therapist work and to reduce the assessment time. WAAM is designed as a device to measure the movement of a 7 DOF-link. Madgwick algorithm and vectorization are used severity to calculate the joint angle. The process of assessment based on Fugl-Meyer assessment for upper extremity in motor function. And the score classification is a logic-based. The result shows the error for the joint calculation as 2.45 degrees and the accuracy for score classification as 96 percentage.
中风患者需要得到一个评估计划的恢复过程，这是用来准备一个适当的康复。Fugl-Meyer评估是一种流行的方案，涵盖了所有水平的身体状况，但通常必须由专家使用该方案才能获得准确的结果。此外，评估需要很长时间才能完成。因此，本研究提出了一种新的评估系统，称为“Wearable assessment Arm Motion: WAAM”。该系统的目的是协助治疗师的工作，减少评估时间。WAAM被设计成一种测量7自由度连杆运动的装置。采用Madgwick算法和矢量化算法对关节角进行严重性计算。基于Fugl-Meyer评价上肢运动功能的评定过程。而分数分类是基于逻辑的。结果表明，联合计算误差为2.45度，分数分类准确率为96%。
{"title":"WAAM: Wearable Assessment Arm Motion System","authors":"Worapong Narongwongwathana, P. Punyabukkana, W. Kitisomprayoonkul, W. Chonnaparamutt","doi":"10.1109/BMEiCON47515.2019.8990297","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990297","url":null,"abstract":"The stroke patient needs to get an assessment for planning the recovery process, which is used to prepare an appropriate rehabilitation. Fugl-Meyer assessment is a popular protocol that covers all levels of physical conditions, but generally the protocol must be used by an expert for an accurate result. Furthermore, the assessment takes a long time period to be done. So, this research presents a novel assessment system, which called \"Wearable Assessment Arm Motion: WAAM\". The system has an aim to assist the therapist work and to reduce the assessment time. WAAM is designed as a device to measure the movement of a 7 DOF-link. Madgwick algorithm and vectorization are used severity to calculate the joint angle. The process of assessment based on Fugl-Meyer assessment for upper extremity in motor function. And the score classification is a logic-based. The result shows the error for the joint calculation as 2.45 degrees and the accuracy for score classification as 96 percentage.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129147549","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/BMEiCON47515.2019.8990351
Jaroonrut Prinyakupt, K. Roongprasert
This research aims to design a prototype for verification of the temperature and relative humidity inside the infant incubator and to improve the accuracy of the sensor, as well as allowing the prototype to monitor temperature and relative humidity via IoT for teaching in medical instrumentation calibration topic. The designed device composed of 3 main parts: 1) Input consists of 5 DS18B20 temperature sensors and 1 DHT22 humidity sensor, 2) The processor part used NodeMCU (ESP8266) board which programming with Arduino IDE and 3) The display was divided into two parts: IoT and data logger to save data into external memory before published data to thingspeak.com. The designed device was set in the water bath together with OM-CP Data Logger tested on 5 to 40° C to find temperature error for each sensor at each temperature value. The prototype was reprogrammed with compensation the error equations of each sensor in the program and then retest with the infant incubator temperature 32- 40°C. The result found that the error values were highly decreased. Performance testing of the designed device in the infant incubator was compared to the Incubator Analyzer Brand Fluke Biomedical INCU II based on IEC 60601-2-19 test on 32° C and 36° C. The pattern of the temperature changes inside infant incubator of the prototype device compared with the standard device was closely same for both temperatures. The average temperatures and relative humidity measured from the prototype device on Steady Temperature Condition (STC) were had approximate acceptable values compared to mean values obtained from the standard instrument. All temperatures reading from the prototype were different from the standard device temperature less than 0.5°C, and the relative humidity reading from the prototype was different from relative humidity reading from the standard device of less than 5 %.
{"title":"Verification Device for Temperature and Relative Humidity Inside the Infant Incubator via IoT","authors":"Jaroonrut Prinyakupt, K. Roongprasert","doi":"10.1109/BMEiCON47515.2019.8990351","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990351","url":null,"abstract":"This research aims to design a prototype for verification of the temperature and relative humidity inside the infant incubator and to improve the accuracy of the sensor, as well as allowing the prototype to monitor temperature and relative humidity via IoT for teaching in medical instrumentation calibration topic. The designed device composed of 3 main parts: 1) Input consists of 5 DS18B20 temperature sensors and 1 DHT22 humidity sensor, 2) The processor part used NodeMCU (ESP8266) board which programming with Arduino IDE and 3) The display was divided into two parts: IoT and data logger to save data into external memory before published data to thingspeak.com. The designed device was set in the water bath together with OM-CP Data Logger tested on 5 to 40° C to find temperature error for each sensor at each temperature value. The prototype was reprogrammed with compensation the error equations of each sensor in the program and then retest with the infant incubator temperature 32- 40°C. The result found that the error values were highly decreased. Performance testing of the designed device in the infant incubator was compared to the Incubator Analyzer Brand Fluke Biomedical INCU II based on IEC 60601-2-19 test on 32° C and 36° C. The pattern of the temperature changes inside infant incubator of the prototype device compared with the standard device was closely same for both temperatures. The average temperatures and relative humidity measured from the prototype device on Steady Temperature Condition (STC) were had approximate acceptable values compared to mean values obtained from the standard instrument. All temperatures reading from the prototype were different from the standard device temperature less than 0.5°C, and the relative humidity reading from the prototype was different from relative humidity reading from the standard device of less than 5 %.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124463112","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/BMEiCON47515.2019.8990221
K. Ohtani, M. Baba
The refractive index of a solution correlates closely with its concentration. Estimating the concentration of a solution from its refractive index is an extremely important technique in a wide variety of fields ranging from medicine to food and industry. In this study, we propose a non-contact measuring method for obtaining the refractive index of a solution using an optical angle sensor. Our approach is based on an inverse ray tracing technique. We formulate inverse ray tracing expressions for simultaneous measurement of the refractive index of a solution and its level. We construct a prototype, and examine the validity of the proposed method.
{"title":"Liquid Refractive Index Measurement Based on Inverse Raytracing Using an Optical Angle Sensor","authors":"K. Ohtani, M. Baba","doi":"10.1109/BMEiCON47515.2019.8990221","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990221","url":null,"abstract":"The refractive index of a solution correlates closely with its concentration. Estimating the concentration of a solution from its refractive index is an extremely important technique in a wide variety of fields ranging from medicine to food and industry. In this study, we propose a non-contact measuring method for obtaining the refractive index of a solution using an optical angle sensor. Our approach is based on an inverse ray tracing technique. We formulate inverse ray tracing expressions for simultaneous measurement of the refractive index of a solution and its level. We construct a prototype, and examine the validity of the proposed method.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127976637","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/BMEiCON47515.2019.8990255
Somprasonk Gabbualoy, Solos Punkabut, P. Phasukkit, S. Tungjitkusolmun
Monaural beats in this studied was generated by the principles of binaural beats which both of principle is same but monaural beats is not via headphone. Nevertheless, many previous researches used the binaural beats to create a new frequency of via headphone only. Which that might be make the listener or patient feel uncomfortable. So, for using a non-contact, in this research will be presented a method that was developed for induce brain waves on human based on monaural beats that were transmitted through the speakers which was improved by theory of low frequency. Principle of music and audio engineering were used for designed a laboratory test size 2.60 x 4.03 x 3 meter together with the frequency of 131.81 Hz and 121.81 Hz that were generated and transmitted via audio speakers. Then we will detect the frequency with specific microphones and software. For measure up the brain waves, 25 subjects will be wearing EEG (Electroencephalography) headset and collect data to analysis in MATLAB base on biomedical engineering technique. From the result we found that the monaural beats can be sent to the subjects. In addition, it also modulation the brain signal of subjects.
本研究中的单耳节拍是由双耳节拍原理产生的，两种原理相同，但单耳节拍不是通过耳机产生的。然而，许多先前的研究仅通过耳机使用双耳节拍来创建一个新的频率。这可能会让听者或病人感到不舒服。因此，在本研究中，我们将提出一种利用非接触式扬声器传输的单耳节拍对人体进行脑电波感应的方法，该方法在低频理论基础上进行了改进。利用音乐和音频工程原理，设计了一个尺寸为2.60 x 4.03 x 3米的实验室测试，并通过音频扬声器产生和传输131.81 Hz和121.81 Hz的频率。然后我们会用特定的麦克风和软件来检测频率。为了测量脑电波，25名受试者将佩戴EEG(脑电图)头戴设备，并基于生物医学工程技术在MATLAB中采集数据进行分析。结果表明，单耳节拍可以被发送给被试。此外，它还调节被试的大脑信号。
{"title":"Laboratory design for Reduce Brainwaves Frequency by using Monaural beats","authors":"Somprasonk Gabbualoy, Solos Punkabut, P. Phasukkit, S. Tungjitkusolmun","doi":"10.1109/BMEiCON47515.2019.8990255","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990255","url":null,"abstract":"Monaural beats in this studied was generated by the principles of binaural beats which both of principle is same but monaural beats is not via headphone. Nevertheless, many previous researches used the binaural beats to create a new frequency of via headphone only. Which that might be make the listener or patient feel uncomfortable. So, for using a non-contact, in this research will be presented a method that was developed for induce brain waves on human based on monaural beats that were transmitted through the speakers which was improved by theory of low frequency. Principle of music and audio engineering were used for designed a laboratory test size 2.60 x 4.03 x 3 meter together with the frequency of 131.81 Hz and 121.81 Hz that were generated and transmitted via audio speakers. Then we will detect the frequency with specific microphones and software. For measure up the brain waves, 25 subjects will be wearing EEG (Electroencephalography) headset and collect data to analysis in MATLAB base on biomedical engineering technique. From the result we found that the monaural beats can be sent to the subjects. In addition, it also modulation the brain signal of subjects.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444914","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/BMEiCON47515.2019.8990269
Y. Pititeeraphab, C. Pintavirooj
Palm-dorsa vein pattern, was a new technology for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of palm-dorsa vein pattern identification By using the pattern of palm-dorsa vein of the hand in each person to extraction. We use radius distance methods to find the position of the the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of concave point. We use these reference points to detect regions of interest. The sample images are acquired from the simple and low-cost acquisition system. The experimental results demonstrate the efficiency of the proposed method.
{"title":"Biometric Authentication Using Palm Dorsal Vein Patterns","authors":"Y. Pititeeraphab, C. Pintavirooj","doi":"10.1109/BMEiCON47515.2019.8990269","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990269","url":null,"abstract":"Palm-dorsa vein pattern, was a new technology for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of palm-dorsa vein pattern identification By using the pattern of palm-dorsa vein of the hand in each person to extraction. We use radius distance methods to find the position of the the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of concave point. We use these reference points to detect regions of interest. The sample images are acquired from the simple and low-cost acquisition system. The experimental results demonstrate the efficiency of the proposed method.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129258498","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/BMEiCON47515.2019.8990332
Chayapol Chaiyanan, B. Kaewkamnerdpong
Attention Deficit Hyperactivity Disorder (ADHD) is a neurological disorder that affects many people in the world. Many researchers had speculated that behavior therapy could be used to treat people with ADHD. One of the promising behavioral therapy to help patients train their brains to focus, impulse control and executive functions is neurofeedback therapy. Using neurofeedback, therapists can learn how to influence patients’ brain activity by adjusting the training regimen according to the feedback brainwave. According to past research, it was speculated that implicit learning and children with ADHD could have an atypical relationship. The aim of this paper is to analyze brainwave, electroencephalogram signal (EEG), of healthy people while they perform cognitive tasks to identify when a patient achieves an implicit learning event. Once the event is temporally identified, a pattern in the brainwave could be extracted which can potentially help in designing the neurofeedback treatment to help people with ADHD by training the brain to regular evoking the implicit learning brain state.
{"title":"A Study on Implicit Learning EEG using Sample Entropy to Further Development for ADHD Therapy","authors":"Chayapol Chaiyanan, B. Kaewkamnerdpong","doi":"10.1109/BMEiCON47515.2019.8990332","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990332","url":null,"abstract":"Attention Deficit Hyperactivity Disorder (ADHD) is a neurological disorder that affects many people in the world. Many researchers had speculated that behavior therapy could be used to treat people with ADHD. One of the promising behavioral therapy to help patients train their brains to focus, impulse control and executive functions is neurofeedback therapy. Using neurofeedback, therapists can learn how to influence patients’ brain activity by adjusting the training regimen according to the feedback brainwave. According to past research, it was speculated that implicit learning and children with ADHD could have an atypical relationship. The aim of this paper is to analyze brainwave, electroencephalogram signal (EEG), of healthy people while they perform cognitive tasks to identify when a patient achieves an implicit learning event. Once the event is temporally identified, a pattern in the brainwave could be extracted which can potentially help in designing the neurofeedback treatment to help people with ADHD by training the brain to regular evoking the implicit learning brain state.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"343 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115451533","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/BMEiCON47515.2019.8990182
Kantaphon Meechart, S. Auethavekiat, V. Sa-Ing
The chicken industry ranks tenth in the world in term of output in the world meat market. Red blood cell (RBC) count is one of the basic health screening protocol required in an exported meat industry. However, the human’s automated blood analyzer cannot be applied to avian RBC, because the shape of avian blood (ellipse) is different from the mammal one (circle). In this paper, we propose 2-stage thresholding technique for automatic avian RBC counting. First, the blood smear slide is binarized into RBC and non-RBC area by applying Otsu thresholding. Then, image morphology and Otsu thresholding are reapplied to detect the blood nucleus. After that, the connected component analysis is applied to count the number of RBC. The experiment demonstrated that the proposed technique was simple and provided the count with error rate (2.23%) much less than the clinically acceptable value (5%).
{"title":"An Automatic Detection for Avian Blood Cell based on Adaptive Thresholding Algorithm","authors":"Kantaphon Meechart, S. Auethavekiat, V. Sa-Ing","doi":"10.1109/BMEiCON47515.2019.8990182","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990182","url":null,"abstract":"The chicken industry ranks tenth in the world in term of output in the world meat market. Red blood cell (RBC) count is one of the basic health screening protocol required in an exported meat industry. However, the human’s automated blood analyzer cannot be applied to avian RBC, because the shape of avian blood (ellipse) is different from the mammal one (circle). In this paper, we propose 2-stage thresholding technique for automatic avian RBC counting. First, the blood smear slide is binarized into RBC and non-RBC area by applying Otsu thresholding. Then, image morphology and Otsu thresholding are reapplied to detect the blood nucleus. After that, the connected component analysis is applied to count the number of RBC. The experiment demonstrated that the proposed technique was simple and provided the count with error rate (2.23%) much less than the clinically acceptable value (5%).","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618254","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/BMEiCON47515.2019.8990250
R. Uwamahoro, K. Sundaraj, I. Subramaniam
Muscular-skeletal system is responsible for the movement, force and posture of the human body. It is prone to damage due to frequent engagement in different tasks. Moreover, the loss of body limb limits its proper function. Muscle mechanics provides vital information on the current status of muscular-skeletal system. It plays an extensive role in the screening of the performance rate of muscles in different activities that they undergo. This paper intends to provide an understanding of muscle mechanics in terms of mechanomyography (MMG) signals in muscle function assessment and assistive technology for upper limb. Besides analyzing the application of MMG, signal acquisition, processing, contamination, associated characteristic parameters, as well as their application in functional rehabilitation and prosthesis control are also highlighted. Due to the noise generated from adjacent muscles and body movement, future projection of advanced rendering techniques are presented here. This has also been disclosed by a death of literature that has proven required accuracy on upper limb assistive technology, lost motor functions recovery and clinical practice.
{"title":"Analysis of upper limb rehabilitation using muscle mechanics: current and future perspectives using Mechanomyography signals","authors":"R. Uwamahoro, K. Sundaraj, I. Subramaniam","doi":"10.1109/BMEiCON47515.2019.8990250","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990250","url":null,"abstract":"Muscular-skeletal system is responsible for the movement, force and posture of the human body. It is prone to damage due to frequent engagement in different tasks. Moreover, the loss of body limb limits its proper function. Muscle mechanics provides vital information on the current status of muscular-skeletal system. It plays an extensive role in the screening of the performance rate of muscles in different activities that they undergo. This paper intends to provide an understanding of muscle mechanics in terms of mechanomyography (MMG) signals in muscle function assessment and assistive technology for upper limb. Besides analyzing the application of MMG, signal acquisition, processing, contamination, associated characteristic parameters, as well as their application in functional rehabilitation and prosthesis control are also highlighted. Due to the noise generated from adjacent muscles and body movement, future projection of advanced rendering techniques are presented here. This has also been disclosed by a death of literature that has proven required accuracy on upper limb assistive technology, lost motor functions recovery and clinical practice.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"50 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114126056","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/BMEiCON47515.2019.8990323
Ratchaphon Khaemphukhiao, P. Phasukkit
This paper proposes a system for measuring rate of respiration of Newborn Phantom in a child incubator without contact with radar. In modern medicine, this non-contact system tends to replace the old systems that use contact measurement. The system of radar uses a 24 GHz continuous signal module, which has a region. that can detect breathing more clearly than low frequency. In addition, we have introduced the GMM technique to perform the signal segmentation for increasing the accuracy of the rate by compare with the contact signal to achieve 100% results.
{"title":"Segmentation of 24GHz RF Respiration Signal Using GMM","authors":"Ratchaphon Khaemphukhiao, P. Phasukkit","doi":"10.1109/BMEiCON47515.2019.8990323","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990323","url":null,"abstract":"This paper proposes a system for measuring rate of respiration of Newborn Phantom in a child incubator without contact with radar. In modern medicine, this non-contact system tends to replace the old systems that use contact measurement. The system of radar uses a 24 GHz continuous signal module, which has a region. that can detect breathing more clearly than low frequency. In addition, we have introduced the GMM technique to perform the signal segmentation for increasing the accuracy of the rate by compare with the contact signal to achieve 100% results.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126962392","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/BMEiCON47515.2019.8990234
Kajornvut Ounjai, S. Kobayashi, J. Lauwereyns
It has been well established in previous research that predictive information has a large impact on decision-making in a variety of cognitive paradigms. Less is known about how predictive cues influence the sensory, perceptual and affective processes toward a subjective choice. Here, we designed an evaluative decision-making paradigm, with naturalistic food images as stimuli, using predictive cues to measure pupil dilation during information processing toward a subjective rating. In each trial, we used a predictive cue to generate an expectation about the upcoming target image. The color of the cue indicated the predictive validity (either 100% or 50% reliability); the shape of the cue indicated the predicted valence of the target image (either appetitive or aversive). We also varied the length of the delay between the predictive cue and the target image (either 1s or 9s). The participants were asked to rate the target food images on a continuous scale from -10 to 10 using a joystick. The results showed a difference in pupil dilation in response to the predictive cue as a function of the predicted valence, with more constriction following negative cues. The dilation was unaffected by color. There was also a notable difference in pupil dilation during the target image viewing as a function of the actual valence, with more constriction for appetitive images. The apparent contradiction in dilation as a function of item category may be due to the level of arousal, with complementary or opposing functions for valence during expectation versus actual sensory and perceptual processing. Future research is required to establish the exact relationship with arousal in order to uncover the underlying mechanisms of this novel finding.
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