Pub Date : 2018-10-01DOI: 10.1109/LSC.2018.8572075
M. Ghislieri, V. Agostini, M. Knaflitz
The modular organization of the central nervous system (CNS) during motor tasks was widely assessed by means of muscle synergies. The aim of this work was to assess the impact of the Signal-to-Noise Ratio (SNR) on muscle synergies extracted from synthetic surface electromyographic (sEMG) signals that simulate the muscle activity of the lower limb during walking. To evaluate the effect of the SNR, the similarity between the weights vectors and the activation coefficients extracted from real sEMG signals and from simulated sEMG signals at different values of SNR was computed. Results reveal that muscle synergy extraction is strongly dependent upon the quality of the sEMG signals simulated.
{"title":"The Effect of Signal-to-Noise Ratio on Muscle Synergy Extraction","authors":"M. Ghislieri, V. Agostini, M. Knaflitz","doi":"10.1109/LSC.2018.8572075","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572075","url":null,"abstract":"The modular organization of the central nervous system (CNS) during motor tasks was widely assessed by means of muscle synergies. The aim of this work was to assess the impact of the Signal-to-Noise Ratio (SNR) on muscle synergies extracted from synthetic surface electromyographic (sEMG) signals that simulate the muscle activity of the lower limb during walking. To evaluate the effect of the SNR, the similarity between the weights vectors and the activation coefficients extracted from real sEMG signals and from simulated sEMG signals at different values of SNR was computed. Results reveal that muscle synergy extraction is strongly dependent upon the quality of the sEMG signals simulated.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286025","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572120
Elie Saad, W. Funnell, P. Kry, N. Ventura
Visualizing and simulating the real world by means of three-dimensional (3D) models is important in many fields, especially in science, technology, engineering and medicine (STEM). Exploiting the human senses, such as the sense of sight with head-mounted displays (HMDs) and the sense of touch with haptic devices, has helped in creating immersive virtual-reality (VR) experiences. However, HMDs and haptics have seldom been combined, and recently the technology has been advancing rapidly in both areas. The objective of this research was to develop a VR system which combines both a consumer-level HMD and a mid-level haptic device using a game-development platform. A proof-of-concept system was developed using the Oculus Rift HMD and the Phantom Premium 1.5 High Force haptic device. The system was implemented using the Unity 3D game engine and was tested with two 3D human anatomical models, a heart and part of a skull. The technical performance of the system was evaluated, and a small preliminary user evaluation was performed. Particular challenges and limitations of currently available hardware and software are also discussed.
利用三维模型对现实世界进行可视化和模拟在许多领域都很重要，特别是在科学、技术、工程和医学(STEM)领域。利用人类的感官，如头戴式显示器(hmd)的视觉和触觉设备的触觉，有助于创造沉浸式虚拟现实(VR)体验。然而，hmd和触觉很少结合在一起，最近该技术在这两个领域都得到了迅速的发展。这项研究的目的是开发一个VR系统，它结合了消费者级的头戴式显示器和使用游戏开发平台的中级触觉设备。使用Oculus Rift HMD和Phantom Premium 1.5 High Force触觉设备开发了一个概念验证系统。该系统使用Unity 3D游戏引擎实现，并使用两个3D人体解剖模型(心脏和部分头骨)进行测试。对系统的技术性能进行了评价，并进行了小规模的初步用户评价。还讨论了当前可用的硬件和软件的特殊挑战和限制。
{"title":"A Virtual-Reality System for Interacting with Three-Dimensional Models Using a Haptic Device and a Head-Mounted Display","authors":"Elie Saad, W. Funnell, P. Kry, N. Ventura","doi":"10.1109/LSC.2018.8572120","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572120","url":null,"abstract":"Visualizing and simulating the real world by means of three-dimensional (3D) models is important in many fields, especially in science, technology, engineering and medicine (STEM). Exploiting the human senses, such as the sense of sight with head-mounted displays (HMDs) and the sense of touch with haptic devices, has helped in creating immersive virtual-reality (VR) experiences. However, HMDs and haptics have seldom been combined, and recently the technology has been advancing rapidly in both areas. The objective of this research was to develop a VR system which combines both a consumer-level HMD and a mid-level haptic device using a game-development platform. A proof-of-concept system was developed using the Oculus Rift HMD and the Phantom Premium 1.5 High Force haptic device. The system was implemented using the Unity 3D game engine and was tested with two 3D human anatomical models, a heart and part of a skull. The technical performance of the system was evaluated, and a small preliminary user evaluation was performed. Particular challenges and limitations of currently available hardware and software are also discussed.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303609","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572169
Yasmina Souley Dossso, Amente Bekele, Shermeen Nizami, C. Aubertin, K. Greenwood, J. Harrold, J. Green
Detection and segmentation of people within a scene has been primarily applied to indoor imagery for surveillance systems and outdoor scenes for pedestrian detection. This paper proposes to leverage a similar semantic segmentation model for segmenting patients in the neonatal intensive care unit (NICU) during video-based monitoring. This will serve as part of a noncontact, non-invasive and unobtrusive system to monitor neonates by acquiring a relevant region-of-interest from overhead RGB-D video. This paper examines situations typical of the NICU environment to ensure generalization of the solution to all patient scenarios. Transfer learning is applied to a pre-trained convolutional neural network on three different patients. Promising results are observed when the model is tested on a new patient. Final testing accuracy of 93% demonstrates the potential of such algorithm to automatically determine a suitable region-of-interest for video-based patient monitoring.
{"title":"Segmentation of Patient Images in the Neonatal Intensive Care Unit","authors":"Yasmina Souley Dossso, Amente Bekele, Shermeen Nizami, C. Aubertin, K. Greenwood, J. Harrold, J. Green","doi":"10.1109/LSC.2018.8572169","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572169","url":null,"abstract":"Detection and segmentation of people within a scene has been primarily applied to indoor imagery for surveillance systems and outdoor scenes for pedestrian detection. This paper proposes to leverage a similar semantic segmentation model for segmenting patients in the neonatal intensive care unit (NICU) during video-based monitoring. This will serve as part of a noncontact, non-invasive and unobtrusive system to monitor neonates by acquiring a relevant region-of-interest from overhead RGB-D video. This paper examines situations typical of the NICU environment to ensure generalization of the solution to all patient scenarios. Transfer learning is applied to a pre-trained convolutional neural network on three different patients. Promising results are observed when the model is tested on a new patient. Final testing accuracy of 93% demonstrates the potential of such algorithm to automatically determine a suitable region-of-interest for video-based patient monitoring.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122762291","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572152
Meilin Zhu, Ching-Wen Hou, U. Obahiagbon, K. Anderson, J. Christen
Fluorescence- based lateral flow immunoassays (LFIAs) remain relatively unexplored compared to colorimetric LFIAs for point-of-care (PoC) disease diagnosis and health monitoring. For fluorescence-based LFIAs, a major challenge includes the auto-fluorescence of the nitrocellulose and nonspecific binding of fluorescent polystyrene microspheres. In this paper, we aim to characterize antibody-microsphere conjugates in a fluorescence-based serological assay on nitrocellulose. Factors such as coating concentration and quantity of microspheres were considered and their impacts on nonspecific binding and signal-to-noise ratio are discussed. Finally, we use the determined conditions for the antibody-microsphere conjugates to demonstrate the sensitivity of a proof-of-concept assay detecting antibodies to Epstein-Barr Nuclear Antigen-1 in pooled human plasma samples. A titration of the seropositive plasma samples demonstrated a titer approaching 1:1,000 using only 30 μL of diluted sample and a sample-to-result time of less than one hour.
{"title":"Characterizing Antibody-Microsphere Conjugates for Fluorescence-Based Lateral Flow Immunoassays","authors":"Meilin Zhu, Ching-Wen Hou, U. Obahiagbon, K. Anderson, J. Christen","doi":"10.1109/LSC.2018.8572152","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572152","url":null,"abstract":"Fluorescence- based lateral flow immunoassays (LFIAs) remain relatively unexplored compared to colorimetric LFIAs for point-of-care (PoC) disease diagnosis and health monitoring. For fluorescence-based LFIAs, a major challenge includes the auto-fluorescence of the nitrocellulose and nonspecific binding of fluorescent polystyrene microspheres. In this paper, we aim to characterize antibody-microsphere conjugates in a fluorescence-based serological assay on nitrocellulose. Factors such as coating concentration and quantity of microspheres were considered and their impacts on nonspecific binding and signal-to-noise ratio are discussed. Finally, we use the determined conditions for the antibody-microsphere conjugates to demonstrate the sensitivity of a proof-of-concept assay detecting antibodies to Epstein-Barr Nuclear Antigen-1 in pooled human plasma samples. A titration of the seropositive plasma samples demonstrated a titer approaching 1:1,000 using only 30 μL of diluted sample and a sample-to-result time of less than one hour.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127759207","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572060
N. Makaram, R. Swaminathan
The reduction in muscle force is a common symptom of several neuromuscular diseases. This phenomenon is called muscle fatigue. In normal subjects, it is generally reversible. Surface electromyography (sEMG) signals are commonly used to analyze muscle fatigue. These signals are nonlinear and nonstationary in nature. In this work, an attempt is made to analyse sEMG signals in nonfatigue and fatigue conditions using the degree distribution of visibility graphs. The sEMG signals are recorded from the upper limb muscle namely the biceps brachii during dynamic contraction with a six-kilogram load. A total of 58 subjects volunteered for the study. The signals are preprocessed, and visibility graphs are constructed. The variation in the degree distribution is studied and characterized. The results indicate that the signals recorded are complex in nature. The degree distributions are distinct between nonfatigue and fatigue conditions. In fatigue, the percentage of higher degree nodes are more. Further, the decay rate of degree is larger in the case of nonfatigue indicating the signal is comparatively random. The statistical test indicates that the features extracted are significant with a $mathbf{p} < mathbf{0.005}$. It appears that this method of analysis would be useful for characterizing various neuromuscular conditions.
{"title":"Analysis of Muscle's Electrical Activity During Dynamic Fatiguing Exercise Using Visibility Graph and Degree Statistics","authors":"N. Makaram, R. Swaminathan","doi":"10.1109/LSC.2018.8572060","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572060","url":null,"abstract":"The reduction in muscle force is a common symptom of several neuromuscular diseases. This phenomenon is called muscle fatigue. In normal subjects, it is generally reversible. Surface electromyography (sEMG) signals are commonly used to analyze muscle fatigue. These signals are nonlinear and nonstationary in nature. In this work, an attempt is made to analyse sEMG signals in nonfatigue and fatigue conditions using the degree distribution of visibility graphs. The sEMG signals are recorded from the upper limb muscle namely the biceps brachii during dynamic contraction with a six-kilogram load. A total of 58 subjects volunteered for the study. The signals are preprocessed, and visibility graphs are constructed. The variation in the degree distribution is studied and characterized. The results indicate that the signals recorded are complex in nature. The degree distributions are distinct between nonfatigue and fatigue conditions. In fatigue, the percentage of higher degree nodes are more. Further, the decay rate of degree is larger in the case of nonfatigue indicating the signal is comparatively random. The statistical test indicates that the features extracted are significant with a $mathbf{p} < mathbf{0.005}$. It appears that this method of analysis would be useful for characterizing various neuromuscular conditions.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132773848","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572058
K. Shoji, T. Yamakawa, T. Sakata, Y. Ueda
A low-cost telemeter has been developed for heart rate variability analysis by using the R-R intervals of an electrocardiogram to detect heart disease. The decreasing detection rate of the R-wave in long-term measurements was attributed to inadequate gain from the electrocardiogram. An automatic gain readjustment function was therefore developed to address this problem. In this study, we evaluated the discrimination rules by using a gain readjustment function and calculated the improvement factor for R-wave detection. The function was installed on an Android smartphone and measured by using 25 healthy subjects. The measurement results showed that the detection rate of the R-wave was improved by 16.3 before and after gain readjustment. Furthermore, the measurement results revealed the need for multiple gain readjustments to ensure the required performance. The gain value was acquired for seven subjects to examine the variation in the electrocardiogram amplitude after 5 and 7 $mathbf{h}$ of measurement. Consequently, the electrocardiogram amplitude did not have adverse effects on the R-wave detection for the duration of these measurements.
{"title":"Robust R-Wave Detection Under Long-Term Measurement Using HRV Sensor System with Automatic Gain Readjustment","authors":"K. Shoji, T. Yamakawa, T. Sakata, Y. Ueda","doi":"10.1109/LSC.2018.8572058","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572058","url":null,"abstract":"A low-cost telemeter has been developed for heart rate variability analysis by using the R-R intervals of an electrocardiogram to detect heart disease. The decreasing detection rate of the R-wave in long-term measurements was attributed to inadequate gain from the electrocardiogram. An automatic gain readjustment function was therefore developed to address this problem. In this study, we evaluated the discrimination rules by using a gain readjustment function and calculated the improvement factor for R-wave detection. The function was installed on an Android smartphone and measured by using 25 healthy subjects. The measurement results showed that the detection rate of the R-wave was improved by 16.3 before and after gain readjustment. Furthermore, the measurement results revealed the need for multiple gain readjustments to ensure the required performance. The gain value was acquired for seven subjects to examine the variation in the electrocardiogram amplitude after 5 and 7 $mathbf{h}$ of measurement. Consequently, the electrocardiogram amplitude did not have adverse effects on the R-wave detection for the duration of these measurements.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"205 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133878042","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572095
Khyati A. Vyas, C. McGregor
Heart rate monitoring of the firefighters have begun to be used for job stress level assessment or firefighting training. However, resilience assessment and heart rate variability monitoring is not widely utilized on firefighters with limited feedback available through wearables. This paper presents an initial exploratory study that considers heart rate responses from firefighters in real life like emergency scenarios.
{"title":"The Use of Heart Rate for the Assessment of Firefighter Resilience: A Literature Review","authors":"Khyati A. Vyas, C. McGregor","doi":"10.1109/LSC.2018.8572095","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572095","url":null,"abstract":"Heart rate monitoring of the firefighters have begun to be used for job stress level assessment or firefighting training. However, resilience assessment and heart rate variability monitoring is not widely utilized on firefighters with limited feedback available through wearables. This paper presents an initial exploratory study that considers heart rate responses from firefighters in real life like emergency scenarios.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125041266","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572143
R. Mittmann, S. Magierowski, A. Refaey, E. Ghafar-Zadeh
DNA sequencing hardware is rapidly evolving into a mobile platform. Hand held technologies are capable of measuring the equivalent of a human genome every hour within a 5 W power window. Rapid event detection, as as a means of feature extraction for downstream processing or rapid pattern classification, is a critical computational function in this domain. The algorithmic and hardware design of an embedded event detector capable of serving in such a capacity is described in this paper. The device achieves a computational efficiency of 5600 MIPS/W while seeking 32 unique signal levels, a performance level capable of processing the equivalent of 1 human genome per hour within a 1 W power budget.
{"title":"A High-Speed Embedded Event Detector for Mobile DNA Sequencing","authors":"R. Mittmann, S. Magierowski, A. Refaey, E. Ghafar-Zadeh","doi":"10.1109/LSC.2018.8572143","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572143","url":null,"abstract":"DNA sequencing hardware is rapidly evolving into a mobile platform. Hand held technologies are capable of measuring the equivalent of a human genome every hour within a 5 W power window. Rapid event detection, as as a means of feature extraction for downstream processing or rapid pattern classification, is a critical computational function in this domain. The algorithmic and hardware design of an embedded event detector capable of serving in such a capacity is described in this paper. The device achieves a computational efficiency of 5600 MIPS/W while seeking 32 unique signal levels, a performance level capable of processing the equivalent of 1 human genome per hour within a 1 W power budget.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289829","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572273
Pradeep Balachandran, C. Carey
This paper asserts the importance of collaborative stakeholder participation and the need for a process measurement model to improve the performance of consensus building in standards development. A systems engineering based process behavior measurement model is proposed. The model is capable of detecting critical events and trends across the consensus building life cycle; thereby, improving the process performance in producing optimal outcomes. In this behavior model, the measures of specific attributes of the underlying consensus process are used to compute metrics that can be analyzed. They provide course and fine indicators process performance in terms of stability assessment, risk tracking and workflow evaluation. The proposed model may help guide an evidence-based metrics program for Standards Development Organizations (SDOs) to build equitable and accountable assessment platforms for stakeholder engagement in consesus standards development.
{"title":"Collaborative Model for Stakeholder Engagement in Consensus Standards Development","authors":"Pradeep Balachandran, C. Carey","doi":"10.1109/LSC.2018.8572273","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572273","url":null,"abstract":"This paper asserts the importance of collaborative stakeholder participation and the need for a process measurement model to improve the performance of consensus building in standards development. A systems engineering based process behavior measurement model is proposed. The model is capable of detecting critical events and trends across the consensus building life cycle; thereby, improving the process performance in producing optimal outcomes. In this behavior model, the measures of specific attributes of the underlying consensus process are used to compute metrics that can be analyzed. They provide course and fine indicators process performance in terms of stability assessment, risk tracking and workflow evaluation. The proposed model may help guide an evidence-based metrics program for Standards Development Organizations (SDOs) to build equitable and accountable assessment platforms for stakeholder engagement in consesus standards development.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121150893","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 : 2018-10-01DOI: 10.1109/LSC.2018.8572271
Prasanth Ganesan, E. Cherry, A. Pertsov, B. Ghoraani
Catheter ablation therapy involving isolation of pulmonary veins (PVs) remains the cornerstone procedure to treat AF. However, due to the sub-optimal success rates of PV isolation, there is a need for new ablation techniques to locate AF ablation targets known as rotors, outside of the PVs. In this paper, we developed a novel rotor-mapping algorithm that uses a conventional diagnostic catheter, Lasso, to locate a rotor source. The algorithm, called the Region of Rotor (ROR) Mapping, utilizes the characteristics of local bipolar electrograms to navigate the catheter's iterative placements while generating a map, overlaid on the atrial anatomy, that displays the potential rotor region. We evaluated the developed ROR mapping algorithm using a 2D simulation of AF on a tissue with heterogeneous conduction properties. The results demonstrated a significant success rate of 93% in accurately locating the region of the rotor with a mean distance of 1.4mm from the ground truth trajectory. The algorithm could play a critical role in mapping non-PV AF ablation targets and improving the outcome of AF ablation.
{"title":"Development of a Rotor-Mapping Algorithm to Locate Ablation Targets During Atrial Fibrillation","authors":"Prasanth Ganesan, E. Cherry, A. Pertsov, B. Ghoraani","doi":"10.1109/LSC.2018.8572271","DOIUrl":"https://doi.org/10.1109/LSC.2018.8572271","url":null,"abstract":"Catheter ablation therapy involving isolation of pulmonary veins (PVs) remains the cornerstone procedure to treat AF. However, due to the sub-optimal success rates of PV isolation, there is a need for new ablation techniques to locate AF ablation targets known as rotors, outside of the PVs. In this paper, we developed a novel rotor-mapping algorithm that uses a conventional diagnostic catheter, Lasso, to locate a rotor source. The algorithm, called the Region of Rotor (ROR) Mapping, utilizes the characteristics of local bipolar electrograms to navigate the catheter's iterative placements while generating a map, overlaid on the atrial anatomy, that displays the potential rotor region. We evaluated the developed ROR mapping algorithm using a 2D simulation of AF on a tissue with heterogeneous conduction properties. The results demonstrated a significant success rate of 93% in accurately locating the region of the rotor with a mean distance of 1.4mm from the ground truth trajectory. The algorithm could play a critical role in mapping non-PV AF ablation targets and improving the outcome of AF ablation.","PeriodicalId":254835,"journal":{"name":"2018 IEEE Life Sciences Conference (LSC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388078","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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