Conferences related to Sympathetic Division

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)

IEEE Healthcom 2018 aims at bringing together interested parties from around the world working in the healthcare field to exchange ideas, discuss innovative and emerging solutions, and develop collaborations.


2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

BHI is "informatics for smart, precision and preventive medicine."


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Periodicals related to Sympathetic Division

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Mechatronics, IEEE/ASME Transactions on

Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...



Most published Xplore authors for Sympathetic Division

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Xplore Articles related to Sympathetic Division

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Method for Detection and Quantification of Non-Invasive Skin Sympathetic Nerve Activity

2018 International Conference on System Science and Engineering (ICSSE), 2018

Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based ...


Beat-to-beat response patterns of spectral sympathetic estimators to the cold face test and their comparison to those of the active orthostatic test

2015 Computing in Cardiology Conference (CinC), 2015

We assessed the effects of cold face test (CFT) and active orthostatic test (AOT) on the RR intervals (RR), systolic pressure (SP) and maximal amplitude of arterial pressure first derivative (dmAP) time series of 25 healthy volunteers, and the instantaneous dynamics of their low-frequency powers (LFRR, LFSP and LFdmAP), to characterize their time course, and compare their performance as sympathetic ...


Performance of low-frequency power of the maximal amplitude of the first derivative of arterial pressure waveform as a cardiac sympathetic activity index

Computing in Cardiology 2014, 2014

We assessed the time-frequency spectra of the maximal amplitude of arterial pulse first derivative (dP/dtmax) series during four maneuvers provoking different sympathetic activity levels, and examined the relations between dP/dtmaxspectral measures and those of heart rate, systolic pressure (SP), and respiratory variabilities. Thirty healthy subjects performed 5-min maneuvers: lying, controlled breathing, standing (S) and exercise (E). Time-frequency spectra of RR ...


Performance of the low frequency power of pulse pressure variability as a sympathetic activity measure during supine rest, controlled breathing, standing and exercise

2015 Computing in Cardiology Conference (CinC), 2015

In 28 healthy volunteers, we assessed the effects of 5-min maneuvers that provoke different sympathetic and respiratory activities (supine rest (SR), controlled breathing (CB), standing (S) and exercise (E)) on the instantaneous low (LF) and high frequency (HF) powers of pulse (LF<sub>PP</sub>, HF<sub>PP</sub>), systolic (LF<sub>SP</sub>, HF<sub>SP</sub>), and diastolic pressures (LF<sub>DP</sub>, HF<sub>DP</sub>), to associate physiological correlates to LF<sub>PP</sub> and HF<sub>PP</sub>, and ...


A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity

IEEE Transactions on Biomedical Engineering, 2010

Electrodermal activity (EDA) is a sensitive index of sympathetic nervous system activity. Due to the lack of sensors that can be worn comfortably during normal daily activity and over extensive periods of time, research in this area is limited to laboratory settings or artificial clinical environments. We developed a novel, unobtrusive, nonstigmatizing, wrist-worn integrated sensor, and present, for the very ...


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Educational Resources on Sympathetic Division

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IEEE.tv Videos

APEC 2015: KeyTalks - More Electric Aircraft Challenges
Robotics History: Narratives and Networks Oral Histories: Tatsuo Arai
IROS TV 2019- Istituto Italiano di Tecnologia (IIT)- Human Centered Science and Technologies
IEEE ISTAS 2019 - Plenary 3 - Impact of IEEE Division VI Societies Panel
Life Sciences Grand Challenge Conference - Melur Ramasubramanian
FCC Spectrum Activities: Fueling the Internet of Things - Michael Ha - 5G World Forum Santa Clara 2018
Q&A with Arvind Kumar: IEEE Rebooting Computing Podcast, Episode 4
NSF's Platforms for Advanced Wireless Research (PAWR) - IEEE Future Networks Webinar
Brain Panelist - James Kozloski: 2016 Technology Time Machine
Enabling the Acceleration of Advanced Technology Adoption - Cengiz Alaettinoglu - IEEE Sarnoff Symposium, 2019
Internet of Things Panelist - Jeffrey Voas: 2016 Technology Time Machine
NIKSUN World Wide Security & Mobility Conference 2011 - Col. R Fellers
Platforms for Advanced Wireless Research - Nandagopal Thygaraj - Brooklyn 5G Summit 2018
Q&A Government Agencies Panel: 2016 International Conference on Rebooting Computing
Microfluidic diagnostics and other breakthrough technologies.
DOE-ASCR Activities Towards Rebooting Computing - Kelley Perry: 2016 International Conference on Rebooting Computing
Larson Collection interview with Alvin Weinberg
Spin Dynamics in Inhomogeneously Magnetized Systems - Teruo Ono: IEEE Magnetics Society Distinguished Lecture 2016
IEEE Life Sciences - Joseph M. Smith Interview
2013 IEEE Alexander Graham Bell Medal

IEEE-USA E-Books

  • Method for Detection and Quantification of Non-Invasive Skin Sympathetic Nerve Activity

    Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based on the concept of microneurography and applied to non-invasive SKNA recording via 4 steps of signal processing. Every parameters in procedures can be manually selected by users in order to meet requirements. After using these signal processing, the results obtained by this system show improved nerve burst morphology and trend. Intuitive nerve discharge pattern and occurrence frequency can be automatically generated. Verification of the method with the cold water pressor test data further established the reliability and usefulness of the system. This new method offered a convenient tool to evaluate SKNA for comprehensive and detailed application in neurocardiology. The analysis system may facilitate the study between SKNA and cardiac arrhythmia, thus advance the field of neurocardiology research.

  • Beat-to-beat response patterns of spectral sympathetic estimators to the cold face test and their comparison to those of the active orthostatic test

    We assessed the effects of cold face test (CFT) and active orthostatic test (AOT) on the RR intervals (RR), systolic pressure (SP) and maximal amplitude of arterial pressure first derivative (dmAP) time series of 25 healthy volunteers, and the instantaneous dynamics of their low-frequency powers (LFRR, LFSP and LFdmAP), to characterize their time course, and compare their performance as sympathetic markers as well as the magnitude of the sympathetic response evoked by each maneuver. All the variables studied displayed distinct instantaneous response patterns to each maneuver: while in CFT they increased to a plateau, in AOT they presented overshoots at the beginning and end of the test. In both tests, LFdmAP and LFSP dynamics were similar and strongly correlated, and presented a weak correlation with LFRR. Means of LFdmAP and LFSP in CFT were 7 times smaller than in AOT. Our findings support that LFSP and LFdmAP powers exhibit similar performance as noninvasive sympathetic markers and that all variables studied show distinctive beat-to-beat response patterns to each maneuver. Using the sympathetic response produced by AOT as reference, the one evoked by CFT is smaller.

  • Performance of low-frequency power of the maximal amplitude of the first derivative of arterial pressure waveform as a cardiac sympathetic activity index

    We assessed the time-frequency spectra of the maximal amplitude of arterial pulse first derivative (dP/dtmax) series during four maneuvers provoking different sympathetic activity levels, and examined the relations between dP/dtmaxspectral measures and those of heart rate, systolic pressure (SP), and respiratory variabilities. Thirty healthy subjects performed 5-min maneuvers: lying, controlled breathing, standing (S) and exercise (E). Time-frequency spectra of RR intervals (RR), SP, dP/dtmaxand respiration (Res) time series were estimated to compute their low-frequency powers (LFSP, LFdP/dtmax), high- frequency powers (HFRR, HFdP/dtmax, HFRes), and HFdP/dtmax-HFRestime-frequency coherence. While LFSPand LFdP/dtmaxincreased in S and E, HFRRand RR level decreased. Correlations of HFRRand RR level with LFdP/dtmaxwere very strong and greater than with LFSP. HFdP/dtmaxwas maximal in E and showed significant coherences with HFRes. LFdP/dtmaxand LFSPcorrectly indicate the increasing levels of sympathetic activation in S and E. Thus, LFdP/dtmaxpower can be considered a suitable noninvasive cardiac sympathetic activity-contractility index, complementary to LFSP, which is associated to vasomotor sympathetic activity. HFdP/dtmaxpower is originated by a mechanical respiratory effect.

  • Performance of the low frequency power of pulse pressure variability as a sympathetic activity measure during supine rest, controlled breathing, standing and exercise

    In 28 healthy volunteers, we assessed the effects of 5-min maneuvers that provoke different sympathetic and respiratory activities (supine rest (SR), controlled breathing (CB), standing (S) and exercise (E)) on the instantaneous low (LF) and high frequency (HF) powers of pulse (LF<sub>PP</sub>, HF<sub>PP</sub>), systolic (LF<sub>SP</sub>, HF<sub>SP</sub>), and diastolic pressures (LF<sub>DP</sub>, HF<sub>DP</sub>), to associate physiological correlates to LF<sub>PP</sub> and HF<sub>PP</sub>, and to test the interchangeability of those of systolic and diastolic pressures. Except for LF<sub>DP</sub> in E, LF<sub>PP</sub>, LF<sub>SP</sub> and LF<sub>DP</sub> powers increased progressively from CB to SR, S and E. LF<sub>SP</sub> and HF<sub>SP</sub> powers were greater than LF<sub>DP</sub> and HF<sub>DP</sub>. Correlations of both LF<sub>PP</sub> and HF<sub>PP</sub> were greater with LF<sub>SP</sub> and HF<sub>SP</sub>. Instantaneous coherences of respiration with HF<sub>PP</sub>, HF<sub>SP</sub> and HF<sub>DP</sub> were greater than 0.76. Sympathetic modulation is greater in LF<sub>SP</sub> than in LF<sub>DP</sub> and is smaller in LF<sub>PP</sub> than the respiratory modulation in HF<sub>PP</sub>. LF<sub>PP</sub> adequately marks the progressive sympathetic increases evoked by the maneuvers, mainly due to its greater resemblance with LF<sub>SP</sub>. LF<sub>DP</sub> is not a satisfactory sympathetic index. LF<sub>SP</sub> and HF<sub>SP</sub> are not interchangeable with LF<sub>DP</sub> and HF<sub>DP</sub> respectively.

  • A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity

    Electrodermal activity (EDA) is a sensitive index of sympathetic nervous system activity. Due to the lack of sensors that can be worn comfortably during normal daily activity and over extensive periods of time, research in this area is limited to laboratory settings or artificial clinical environments. We developed a novel, unobtrusive, nonstigmatizing, wrist-worn integrated sensor, and present, for the very first time, a demonstration of long-term, continuous assessment of EDA outside of a laboratory setting. We evaluated the performance of our device against a Food and Drug Administration (FDA) approved system for the measurement of EDA during physical, cognitive, as well as emotional stressors at both palmar and distal forearm sites, and found high correlations across all the tests. We also evaluated the choice of electrode material by comparing conductive fabric with Ag/AgCl electrodes and discuss the limitations found. An important result presented in this paper is evidence that the distal forearm is a viable alternative to the traditional palmar sites for EDA measurements. Our device offers the unprecedented ability to perform comfortable, long-term, and <i>in situ</i> assessment of EDA. This paper opens up opportunities for future investigations that were previously not feasible, and could have far-reaching implications for diagnosis and understanding of psychological or neurological conditions.

  • Continuous monitoring of electrodermal activity during epileptic seizures using a wearable sensor

    We present a novel method for monitoring sympathetic nervous system activity during epileptic seizures using a wearable sensor measuring electrodermal activity (EDA). The wearable sensor enables long-term, continuous EDA recordings from patients. Preliminary results from our pilot study suggest that epileptic seizures induce a surge in EDA. These changes are greater in generalized tonic-clonic seizures and reflect a massive sympathetic discharge. This paper offers a new approach for investigating the relationship between epileptic seizures and autonomic alterations.

  • Dynamics of autonomic activity during Mueller and Valsalva maneuvers assessed by time-frequency analysis of cardiovascular variability

    We compared the instantaneous dynamics of spectral measures of cardiovascular variability, estimated by a time-frequency distribution (TFD), during two opposite respiratory strains, Mueller (MM) and Valsalva maneuvers (VM), and evaluated the relations among systolic pressure (SP), RR intervals (RRi) and spectral indexes. From the power spectra of RRi and SP series, estimated by TFD, the high frequency power (HFRR), low to high frequency ratio and low frequency power of SP (LFSP) were computed. During both maneuvers the instantaneous dynamics of their spectral indexes were similar, being the changes 50% smaller in MM (p<;0.001). In phase II of both maneuvers the SP- HFRR, RRi-HFRRand LFSP-SP relations showed strong correlations that support the baroreflex participation in the two maneuvers, provide a better estimate of the vagal baroreflex sensitivity, and establish the contribution of vasomotor sympathetic outflow to the SP overshoot.

  • Monitoring of peripheral vascular condition using a log-linearized arterial viscoelastic index during endoscopic thoracic sympathectomy

    This paper proposes a novel technique to support the monitoring of peripheral vascular conditions using biological signals such as electrocardiograms, arterial pressure values and pulse oximetry plethysmographic waveforms. In this approach, a second-order log-linearized model (referred to here as a log- linearized peripheral arterial viscoelastic model) is used to describe the non-linear viscoelastic relationship between blood pressure waveforms and photo-plethysmographic waveforms. The proposed index enables estimation of peripheral arterial wall stiffness changes induced by sympathetic nerve activity. The validity of the method is discussed here based on the results of peripheral vascular condition monitoring conducted during endoscopic thoracic sympathectomy (ETS). The results of ETS monitoring showed significant changes in stiffness variations between the periods before and during the procedures observed (p &lt;; 0.01) as well as during and after them (p &lt;; 0.01), so that it was confirmed that sympathetic nerve activity is drastically decreased in the area around the monitoring site after the thoracic sympathetic nerve trunk on the monitoring side is successfully blocked. In addition, no change was observed in the values of the proposed index during the ETS procedure on the side opposite that of the monitoring site. The experimental results obtained clearly show the proposed method can be used to assess changes in sympathetic nerve activity during ETS.

  • Ambulatory Recording of Sleep Apnea Using Peripheral Arterial Tonometry

    Sleep related breathing disorders are common. A reliable diagnosis with relatively simple and portable methods is still needed. One approach is to make use of autonomous nervous system changes which accompany disordered breathing during sleep. The peripheral arterial tonometry (PAT) determines the peripheral arterial vascular tone using a plethysmographic method on the finger. The peripheral arterial tone is modulated by sympathetic activity, by peripheral blood pressure, and by the peripheral resistance of the vessels. We investigate a new ambulatory recording device which uses PAT, oximetry and actigraphy in order to detect sleep apnea. For this purpose we performed a comparative study on 21 patients referred to our sleep laboratory due to suspected sleep apnea. Of these 17 valid recordings were compared. The Watch- PAT was used in parallel with cardiorespiratory polysomnography and the validity was determined. The new system is able to detect apneas and hypopneas with a high reliability (r=0.89). It is very sensitive to arousals (r=0.77). Since arousal are not specific to sleep apnea the specifity of the new system could not be finally clarified in this study. We conclude that the new system is very well suited to perform control studies in patients with sleep apnea which are under therapy and require regular follow-up investigations to maintain a high CPAP compliance.

  • Heart Rate Variability and Autonomic Nerve Activities in Ambulatory Dogs

    Analysis of heart rate variability is a valuable method to investigate the sympathetic and parasympathetic function of the autonomic nervous system. Although such analyses can provide quantitative estimates of autonomic neural activity, simultaneous recording of neural activities and ECG will allow more direct investigation of neural modulation of heart rate. We developed a method that allows direct and long-term recording of neural activities and ECG using wireless device implanted in ambulatory dogs. The aim of this study was to investigate the relationship between autonomic neural firing and heart rate variability. In this study, HRV and neural activities were assessed for 5 continuous days. HRV was evaluated by calculating the mean and the standard deviation of inter-beat intervals in 24 hours. Neural activities were obtained by the sum of the filtered rectified neural signals after 200 Hz high-pass filtering to remove ECG interference. The plots showing HRV as a function of both the sympathetic and vagal activities will offer significant insights into neural modulation of heart rate in normal and diseased hearts



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