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https://www.readbyqxmd.com/read/28227931/long-range-correlations-in-amplitude-variability-of-hf-and-lf-components-of-heart-rate-variability
#1
Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono, Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono
For the assessment of autonomic nervous system activity based on heart rate variability (HRV) analysis, characteristics of high-frequency (HF; 0.15 to 0.4 Hz) and low-frequency (LF; 0.04 to 0.15 Hz) components have been widely employed. HF and LF band powers quantified by power spectral analysis have most commonly been used in the conventional studies; the physiological significance of these measures has also been extensively studied. However, nonlinear characteristics of HF and LF components have not been well established...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227818/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#2
Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Kevin S Xu, Brian Eriksson, Annamalai Natarajan
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227813/a-110-nw-in-channel-sigma-delta-converter-for-large-scale-neural-recording-implants
#3
M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin
Advancement in wireless and microsystems technology have ushered in new devices that can directly interface with the central nervous system for stimulating and/or monitoring neural circuitry. In this paper, we present an ultra low-power sigma-delta analog-to-digital converter (ADC) intended for utilization into large-scale multi-channel neural recording implants. This proposed design, which provides a resolution of 9 bits using a one-bit oversampled ADC, presents several desirable features that allow for an in-channel ADC scheme, where one sigma-delta converter is provided for each channel, enabling development of scalable systems that can interface with different types of high-density neural microprobes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227777/analysis-of-a-cardiovascular-model-for-the-study-of-the-autonomic-response-of-brugada-syndrome-patients
#4
Mireia Calvo, Virginie Le Rolle, Daniel Romero Perez, Nathalie Behar, Pedro Gomis, Philippe Mabo, Alfredo I Hernandez, Mireia Calvo, Virginie Le Rolle, Daniel Romero Perez, Nathalie Behar, Pedro Gomis, Philippe Mabo, Alfredo I Hernandez, Mireia Calvo, Daniel Romero Perez, Pedro Gomis, Philippe Mabo, Nathalie Behar, Alfredo I Hernandez, Virginie Le Rolle
This paper describes the integration of mathematical models of the cardiac electrical activity, the cardiovascular system and the baroreceptor reflex control of the autonomic nervous system, with a model representing a head-up tilt test. Sensitivity analyses are performed in order to determine those model parameters producing the greatest significant effects on heart rate and blood pressure. An optimization step is then applied to the most influential parameters in order to find the best model fit to real cardiac data obtained from a patient suffering from Brugada syndrome and a healthy subject, in supine and upright postures during a tilt test...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227701/heart-rate-reactivity-associated-to-positive-and-negative-food-and-non-food-visual-stimuli
#5
Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Leila Karhunen, Mika P Tarvainen, Pekka Kuoppa, Johanna Narvainen
Using food as a stimuli is known to cause multiple psychophysiological reactions. Heart rate variability (HRV) is common tool for assessing physiological reactions in autonomic nervous system. However, the findings in HRV related to food stimuli have not been consistent. In this paper the quick changes in HRV related to positive and negative food and non-food visual stimuli are investigated. Electrocardiogram (ECG) was measured from 18 healthy females while being stimulated with the pictures. Subjects also filled Three-Factor Eating Questionnaire to determine their eating behavior...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227626/design-and-prototyping-of-a-wristband-type-wireless-photoplethysmographic-device-for-heart-rate-variability-signal-analysis
#6
M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran, R Martinek, R Romero, C Soltanpur, S Cabrera, M Ghamari
Heart Rate Variability (HRV) signal analysis provides a quantitative marker of the Autonomic Nervous System (ANS) function. A wristband-type wireless photoplethysmographic (PPG) device was custom-designed to collect and analyze the arterial pulse in the wrist. The proposed device is comprised of an optical sensor to monitor arterial pulse, a signal conditioning unit to filter and amplify the analog PPG signal, a microcontroller to digitize the analog PPG signal, and a Bluetooth module to transfer the data to a smart device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227512/implantation-and-testing-of-wfma-stimulators-in-macaque
#7
Philip R Trovk, David Frim, Ben Roitberg, Vernon L Towle, Kazutaka Takahashi, Sungjae Suh, Martin Bak, Sam Bredeson, Zhe Hu, Philip R Trovk, David Frim, Ben Roitberg, Vernon L Towle, Kazutaka Takahashi, Sungjae Suh, Martin Bak, Sam Bredeson, Zhe Hu, Vernon L Towle, David Frim, Kazutaka Takahashi, Zhe Hu, Sam Bredeson, Martin Bak, Ben Roitberg, Sungjae Suh
Our on-going work to develop an intracortical visual prosthesis has motivated the design, fabrication, and testing of a Wireless Floating Microelectrode Array (WFMA) stimulator. This implantable device can be used for an electrical stimulation interface in the peripheral and the central nervous system. Previously, its use in a sciatic nerve rodent model was described. Here implantation of two WFMAs in motor cortex of two NHP (macaque - two devices/animal) is presented. Preliminary functional tests show the implanted devices to be fully functional with stimulation-induced motor movements obtained...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227509/development-of-a-brain-monitoring-system-for-multimodality-investigation-in-awake-rats
#8
Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Chunyan Li, Ping Wang, Kanokwan Limnuson, Amrit Chiluwal, Raj K Narayan, Chad Bouton
Multimodal brain monitoring is an important approach to gain insight into brain function, modulation, and pathology. We have developed a unique micromachined neural probe capable of real-time continuous monitoring of multiple physiological, biochemical and electrophysiological variables. However, to date, it has only been used in anesthetized animals due to a lack of an appropriate interface for awake animals. We have developed a versatile headstage for recording the small neural signal and bridging the sensors to the remote sensing units for multimodal brain monitoring in awake rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227435/gelatin-methacrylamide-hydrogel-with-graphene-nanoplatelets-for-neural-cell-laden-3d-bioprinting
#9
Wei Zhu, Brent T Harris, Lijie Grace Zhang, Wei Zhu, Brent T Harris, Lijie Grace Zhang, Wei Zhu, Brent T Harris, Lijie Grace Zhang
Nervous system is extremely complex which leads to rare regrowth of nerves once injury or disease occurs. Advanced 3D bioprinting strategy, which could simultaneously deposit biocompatible materials, cells and supporting components in a layer-by-layer manner, may be a promising solution to address neural damages. Here we presented a printable nano-bioink composed of gelatin methacrylamide (GelMA), neural stem cells, and bioactive graphene nanoplatelets to target nerve tissue regeneration in the assist of stereolithography based 3D bioprinting technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227338/surface-electromyography-based-muscle-fatigue-analysis-for-stroke-patients-at-different-brunnstrom-stages
#10
Yinjun Tu, Zhe Zhang, Xudong Gu, Qiang Fang, Yinjun Tu, Zhe Zhang, Xudong Gu, Qiang Fang, Qiang Fang, Zhe Zhang, Yinjun Tu, Xudong Gu
Muscle fatigue analysis has been an important topic in sport and rehabilitation medicine due to its role in muscle performance evaluation and pathology investigation. This paper proposes a surface electromyography (sEMG) based muscle fatigue analysis approach which was specifically designed for stroke rehabilitation applications. 14 stroke patients from 5 different Brunnstrom recovery stage groups were involved in the experiment and features including median frequency and mean power frequency were extracted from the collected sEMG samples for investigation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227284/on-the-pleasantness-of-a-haptic-stimulation-how-different-textures-can-be-recognized-through-heart-rate-variability-nonlinear-analysis
#11
Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi
The hedonic attributes of cutaneous elicitation play a crucial role in everyday life, influencing our behavior and psychophysical state. However, the correlation between such a hedonic aspect of touch and the Autonomic Nervous System (ANS)-related physiological response, which is intimately connected to emotions, still needs to be deeply investigated. This study reports on caress-like stimuli conveyed to the forearm of 32 healthy subjects through different fabrics actuated by a haptic device, which can control both the strength (i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227252/linear-methods-for-reducing-emg-contamination-in-peripheral-nerve-motor-decodes
#12
Zachary B Kagan, Suzanne Wendelken, David M Page, Tyler Davis, Douglas T Hutchinson, Gregory A Clark, David J Warren, Zachary B Kagan, Suzanne Wendelken, David M Page, Tyler Davis, Douglas T Hutchinson, Gregory A Clark, David J Warren, Gregory A Clark, Zachary B Kagan, David J Warren, David M Page, Suzanne Wendelken, Tyler Davis, Douglas T Hutchinson
Signals recorded from the peripheral nervous system (PNS) with high channel count penetrating microelectrode arrays, such as the Utah Slanted Electrode Array (USEA), often have electromyographic (EMG) signals contaminating the neural signal. This common-mode signal source may prevent single neural units from successfully being detected, thus hindering motor decode algorithms. Reducing this EMG contamination may lead to more accurate motor decode performance. A virtual reference (VR), created by a weighted linear combination of signals from a subset of all available channels, can be used to reduce this EMG contamination...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227162/a-non-linear-mapping-algorithm-shaping-the-control-policy-of-a-bidirectional-brain-machine-interface
#13
Fabio Boi, Marianna Semprini, Alessandro Vato, Fabio Boi, Marianna Semprini, Alessandro Vato, Fabio Boi, Marianna Semprini, Alessandro Vato
Motor brain-machine interfaces (BMIs) transform neural activities recorded directly from the brain into motor commands to control the movements of an external object by establishing an interface between the central nervous system (CNS) and the device. Bidirectional BMIs are closed-loop systems that add a sensory channel to provide the brain with an artificial feedback signal produced by the interaction between the device and the external world. Taking inspiration from the functioning of the spinal cord in mammalians, in our previous works we designed and developed a bidirectional BMI that uses the neural signals recorded form rats' motor cortex to control the movement of an external object...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227138/assessment-of-autonomic-neurodevelopment-in-the-mouse-fetuses-by-using-fetal-electrocardiography
#14
Ahsan H Khandoker, Thuraia Al Khoori, Takuya Ito, Rika Sugibayashi, Yoshitaka Kimura, Ahsan H Khandoker, Thuraia Al Khoori, Takuya Ito, Rika Sugibayashi, Yoshitaka Kimura, Thuraia Al Khoori, Yoshitaka Kimura, Rika Sugibayashi, Takuya Ito, Ahsan H Khandoker
Fetal Electrocardiography (FECG) offers unique capabilities for assessment of beat-to-beat fetal heart rate (FHR) and fetal heart rate variability (FHRV), which are indirect markers of autonomic nervous system, its development. In this study the fetal ECG signals, FHR and FHRV are successfully recorded to assess the neurodevelopment in fetal mice in the second and third trimester from days 12.5 to 18.5 by using direct insertion of fetal ECG electrodes in the uterine. FHR increases from day 12.5 till 15.5 reaching a plateau and then shows a sudden increase on the day 18...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227136/can-ppg-be-used-for-hrv-analysis
#15
N Pinheiro, R Couceiro, J Henriques, J Muehlsteff, I Quintal, L Goncalves, P Carvalho, N Pinheiro, R Couceiro, J Henriques, J Muehlsteff, I Quintal, L Goncalves, P Carvalho, P Carvalho, J Muehlsteff, L Goncalves, N Pinheiro, J Henriques, I Quintal, R Couceiro
Heart rate variability (HRV) represents one of the most promising markers of the autonomic nervous system (ANS) regulation. However, it requires the acquisition of the ECG signal in order to reliably detect the RR intervals, which is not always easily and comfortably available in personal health applications. Additionally, due to progress in single spot optical sensors, photoplethysmography (PPG) is an interesting alternative for heartbeat interval measurements, since it is a more convenient and a less intrusive measurement technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227101/high-density-penetrating-electrode-arrays-for-autonomic-nerves
#16
John Burns, Yee-Hsee Hsieh, Andrew Mueller, Juliette Chevallier, T S Sriram, Stephen J Lewis, Daniel Chew, Anil Achyuta, Jason Fiering, John Burns, Yee-Hsee Hsieh, Andrew Mueller, Juliette Chevallier, T S Sriram, Stephen J Lewis, Daniel Chew, Anil Achyuta, Jason Fiering, Daniel Chew, Yee-Hsee Hsieh, Andrew Mueller, Jason Fiering, T S Sriram, Juliette Chevallier, Stephen J Lewis, Anil Achyuta
Electrode arrays for recording and stimulation in the central nervous system have enabled numerous advances in basic science and therapeutic strategies. In particular, micro-fabricated arrays with precision size and spacing offer the benefit of accessing single neurons and permit mapping of neuronal function. Similar advances are envisioned toward understanding the autonomic nervous system and developing therapies based on its modulation, but appropriate electrode arrays are lacking. Here, we present for the first time, a multi-channel electrode array suitable for penetration of peripheral nerves having diameters as small as 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227073/a-model-based-method-to-measure-baroreflex-sensitivity
#17
Yu Meng, Zhipei Huang, Jiangkang Wu, Xinxia Cai, Yu Meng, Zhipei Huang, Jiangkang Wu, Xinxia Cai, Yu Meng, Jiangkang Wu, Xinxia Cai, Zhipei Huang
This paper proposes a model-based method to quantitatively measure baroreflex sensitivity in autonomic nervous regulation of cardiovascular system. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models dynamics of the baroreflex firing rate, solves parameters by optimization of measured blood pressure and heart rate variations. With this model, we can get the baroreflx sensitivity (BRS) inner indicators to evaluate the status of the autonomic nervous regulation system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227072/short-term-assessment-of-autonomic-nervous-system-as-a-potential-tool-to-quantify-pain-experience
#18
Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Jaro Karppinen, Arto J Hautala, Tapio Seppanen
Various pain conditions may result in altered autonomic nervous system regulation. We evaluated whether autonomic regulation, analyzed with short-term heart rate variability (HRV), differs between low back pain (LBP) patients and healthy controls. Additionally, we tested if short-term HRV recordings are feasible and informative in planning home monitoring of LBP patients. The study population consisted of 16 volunteers (8 LBP patients and 8 healthy subjects) (age 42±10 years, body mass index 26±4 kg/m(2), 7 men and 9 women)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227002/3d-limb-movement-tracking-and-analysis-for-neurological-dysfunctions-of-neonates-using-multi-camera-videos
#19
Irene Yu-Hua Gu, Grzegorz Sowulewski, Yixiao Yun, Anders Flisberg, Magnus Thordstein, Irene Yu-Hua Gu, Grzegorz Sowulewski, Yixiao Yun, Anders Flisberg, Magnus Thordstein, Irene Yu-Hua Gu, Grzegorz Sowulewski, Anders Flisberg, Yixiao Yun, Magnus Thordstein
Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection of limb movement anomalies associated with such neurological dysfunctions in infants is the first step towards early treatment for improving infant development. This paper addresses the issue of detecting and quantifying limb movement anomalies in infants through non-invasive 3D image analysis methods using videos from multiple camera views. We propose a novel scheme for tracking 3D time trajectories of markers on infant's limbs by video analysis techniques...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227000/missing-rri-interpolation-for-hrv-analysis-using-locally-weighted-partial-least-squares-regression
#20
Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano, Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano
The R-R interval (RRI) fluctuation in electrocardiogram (ECG) is called heart rate variability (HRV). Since HRV reflects autonomic nervous function, HRV-based health monitoring services, such as stress estimation, drowsy driving detection, and epileptic seizure prediction, have been proposed. In these HRV-based health monitoring services, precise R wave detection from ECG is required; however, R waves cannot always be detected due to ECG artifacts. Missing RRI data should be interpolated appropriately for HRV analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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