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https://www.readbyqxmd.com/read/28227992/modeling-and-design-of-antennas-for-implantable-telemetry-applications
#1
Arun Venkatasubramanian, Brandon Gifford, Arun Venkatasubramanian, Brandon Gifford, Brandon Gifford, Arun Venkatasubramanian
Incorporating an RF communications link in an implanted medical device can increase its range of applicability and improve quality of life for the patient. Developments in support electronics decrease design risk, but the implanted antenna remains a critical component of a communications link that operates at very low received power. Transmitted power is limited both by regulatory restrictions and, for most implanted devices, by power source capacity. Dielectric losses and wave trapping in the body result in transmission losses much greater than seen in free space communications...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#2
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K U Udhayakumar, Peng Li, Chandan Karmakar
Entropy measures like Approximate entropy (ApEn) and Sample entropy (SampEn) are well established tools to analyze Heart Rate Variability (HRV) data. Critical parameters involved in these computations namely embedding dimension m and tolerance r are in most cases assumed to be 2 and 0.2*signal SD (standard devaition) respectively. Such assumptions do not work fairly across data sets and thus create misleading results in many cases. Problems with r have been addressed with the advent of newer entropy measures like Permutation entropy (PE), Fuzzy entropy (FuzzyEn) and Distribution entropy (DistEn) that simply eliminate, modify or replace r from calculations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227845/high-performance-wearable-two-channel-hybrid-bci-system-with-eye-closure-assist
#3
Yubing Jiang, Hyeonseok Lee, Gang Li, Wan-Young Chung, Yubing Jiang, Hyeonseok Lee, Gang Li, Wan-Young Chung, Wan-Young Chung, Gang Li, Hyeonseok Lee, Yubing Jiang
Generally, eye closure (EC) and eye opening (EO)-based alpha blocking has widely recognized advantages, such as being easy to use, requiring little user training, while motor imagery (MI) is difficult for some users to have concrete feelings. This study presents a hybrid brain-computer interface (BCI) combining MI and EC strategies - such an approach aims to overcome some disadvantages of MI-based BCI, improve the performance and universality of the BCI. The EC/EO is employed to control the machine to switch in different states including forward, stop, changing direction motions, while the MI is used to control the machine to turn left or right for 90° by imagining the hands grasp motions when the system is switched into "changing direction" state...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227745/numerical-simulation-of-multipolar-configuration-and-prepulse-technique-to-obtain-spatially-reverse-recruitment-order
#4
Melissa Dali, Olivier Rossel, David Guiraud, Melissa Dali, Olivier Rossel, David Guiraud, Melissa Dali, Olivier Rossel, David Guiraud
In the context of functional electrical stimulation of peripheral nerves, the control of a specific motor or sensory functions may need selective stimulation to target the desired effect without others. In implanted stimulation, spatial selectivity is obtained using multipolar CUFF electrodes with specific spread of the current over each contact. Furthermore, electrical stimulation recruits large fibers before small ones, whereas the targeted function could be elicited by a specific fiber type i.e. fiber diameter...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227710/monitoring-of-paces-and-gaits-using-binary-pir-sensors-with-rehabilitation-treadmill
#5
Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Ting Zhang, Ishaq Unwala, Qingquan Sun, Jiang Lu, Sanobar Kadiwal, Fei Hu
Recently, rehabilitation treadmills are designed for helping injured persons such as stroke patients and injury athletes in the process of physical therapy. By monitoring the changes of paces and gaits, one can estimate the progress of rehabilitation. At present, most devices that can estimate paces and gaits are wearable and/or expensive. This paper presents an inexpensive, non-intrusive wireless binary sensor system for pace estimation and lower-extreme gait recognition with low data throughput and high energy efficiency...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227633/beacon-based-opportunistic-scheduling-in-wireless-body-area-network
#6
Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati, Yang Zhou, Zhengguo Sheng, Victor C M Leung, Peyman Servati
Wireless Body Area Networks (WBANs) are one of the key technologies that support the development of digital health care, which has attracted increasing attention in recent years. Compared with general Wireless Sensor Networks (WSNs), WBANs have more stringent requirements on reliability and energy efficiency. Though WBANs are applied within limited transmission range, the on-body channel condition can be very challenging because of blocking or absorbing of signal. In this paper, we are looking into the design of Medium Access Control (MAC) protocols and propose an opportunistic scheduling scheme by applying heuristic scheduling and dynamic superframe length adjustment to improve the system performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227593/an-rf-based-wearable-sensor-system-for-indoor-tracking-to-facilitate-efficient-healthcare-management
#7
Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui
To understand the utilization of clinical resources and improve the efficiency of healthcare, it is often necessary to accurately locate patients and doctors in a healthcare facility. However, existing tracking methods, such as GPS, Wi-Fi and RFID, have technological drawbacks or impose significant costs, thus limiting their applications in many clinical environments, especially those with indoor enclosures. This paper proposes a low-cost and flexible tracking system that is well suited for operating in an indoor environment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227586/inductive-power-transmission-to-millimeter-sized-biomedical-implants-using-printed-spiral-coils
#8
Ahmed Ibrahim, Mehdi Kiani, Ahmed Ibrahim, Mehdi Kiani, Ahmed Ibrahim, Mehdi Kiani
The operation frequency (f) has been a key parameter in optimizing wireless power transmission links for biomedical implants with millimeter (mm) dimensions. This paper studies the feasibility of using printed spiral coils (PSCs) for powering mm-sized implants with high power transmission efficiency (PTE) at different fps. Compared to wire-wound coils (WWCs), using a PSC in the implant side allows batch fabrication on rigid or flexible substrates, which can also be used as a platform for integrating implant components...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227554/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#9
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shuang Liu, Shenglong Jiang, Zhonapeng Wang, Dong Ming, Feng He, Qi Hongzhi, Weibo Yi
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227414/breast-lesion-detection-and-characterization-with-3d-features
#10
Arathi Sreekumari, K S Shriram, Vivek Vaidya, Arathi Sreekumari, K S Shriram, Vivek Vaidya, Vivek Vaidya, K S Shriram, Arathi Sreekumari
Automated Breast Ultrasound (ABUS) is highly effective as breast cancer screening adjunct technology. Automation can greatly enhance the efficiency of the clinician sifting through the quantum of data in ABUS volumes to spot lesions. We have implemented a fully automatic generic algorithm pipeline for detection and characterization of lesions on such 3D volumes. We compare a wide range of features for region description on their effectiveness at the dual goals of lesion detection and characterization. On multiple feature images, we compute region descriptors at lesion candidate locations obviating the need for explicit lesion segmentation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227380/efficient-rendering-of-digitally-reconstructed-radiographs-on-heterogeneous-computing-architectures-using-central-slice-theorem
#11
Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Ayman Eldeib, Mohamed Abdallah, Mohamed Alzanati, Marwan Abdellah
Digitally reconstructed radiographs (DRRs) play a significant role in modern clinical radiation therapy. They are used to verify patient alignments during image guided therapies with 2D-3D image registration. The generation of DRRs can be implemented intuitively in O(N(3)) relying on direct volume rendering (DVR) methods, such as ray marching. This complexity imposes certain limitations on the rendering performance if high quality DRR images are needed. Those DRRs can be alternatively generated in the k-space using the central slice theorem in O(N(2)logN)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227349/automated-embolic-signal-detection-using-adaptive-gain-control-and-classification-using-anfis
#12
Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Charturong Tantibundhit, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong
This work proposes an automated system for real-time high-accuracy detection of cerebral embolic signals (ES) to couple with transcranial Doppler ultrasound (TCD) devices in diagnosing a risk of stroke. The algorithm employs Adaptive Gain Control (AGC) approach to capture suspected ESs in real-time. Then, Adaptive Wavelet Packet Transform (AWPT) and Fast Fourier Transform (FFT) are used to extract from them features most efficiently representing ES, which determined by Sequential Feature Selection technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227112/estimation-of-macro-sleep-stages-from-whole-night-audio-analysis
#13
E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, D Ben Or, Y Zigel, M Halevi, E Dafna, A Tarasiuk
During routine sleep diagnostic procedure, sleep is broadly divided into three states: rapid eye movement (REM), non-REM (NREM) states, and wake, frequently named macro-sleep stages (MSS). In this study, we present a pioneering attempt for MSS detection using full night audio analysis. Our working hypothesis is that there might be differences in sound properties within each MSS due to breathing efforts (or snores) and body movements in bed. In this study, audio signals of 35 patients referred to a sleep laboratory were recorded and analyzed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227099/a-large-scale-detailed-neuronal-model-of-electrical-stimulation-of-the-dentate-gyrus-and-perforant-path-as-a-platform-for-electrode-design-and-optimization
#14
Clayton S Bingham, Kyle Loizos, Gene Yu, Andrew Gilbert, Jean-Marie Bouteiller, Dong Song, Gianluca Lazzi, Theodore W Berger, Clayton S Bingham, Kyle Loizos, Gene Yu, Andrew Gilbert, Jean-Marie Bouteiller, Dong Song, Gianluca Lazzi, Theodore W Berger, Kyle Loizos, Gene Yu, Theodore W Berger, Gianluca Lazzi, Jean-Marie Bouteiller, Clayton S Bingham, Dong Song, Andrew Gilbert
Owing to the dramatic rise in treatment of neurological disorders with electrical micro-stimulation it has become apparent that the major technological limitation in deploying effective devices lies in the process of designing efficient, safe, and outcome specific electrode arrays. The time-consuming and low-fidelity nature of gathering test data using experimental means and the immense control and flexibility of computational models, has prompted us and others to build models of electrical stimulation of neural networks that can be simulated in a computer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227095/a-small-portable-battery-powered-brain-computer-interface-system-for-motor-rehabilitation
#15
Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Ming Wang, An H Do, Zoran Nenadic, Colin M McCrimmon, Alireza Karimi-Bidhendi, Lucas Silva Lopes, Po T Wang, Charles Y Liu, Payam Heydari
Motor rehabilitation using brain-computer interface (BCI) systems may facilitate functional recovery in individuals after stroke or spinal cord injury. Nevertheless, these systems are typically ill-suited for widespread adoption due to their size, cost, and complexity. In this paper, a small, portable, and extremely cost-efficient (<;$200) BCI system has been developed using a custom electroencephalographic (EEG) amplifier array, and a commercial microcontroller and touchscreen. The system's performance was tested using a movement-related BCI task in 3 able-bodied subjects with minimal previous BCI experience...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227093/applicability-of-ssvep-based-brain-computer-interfaces-for-robot-navigation-in-real-environments
#16
Christina Farmaki, Georgios Christodoulakis, Vangelis Sakkalis, Christina Farmaki, Georgios Christodoulakis, Vangelis Sakkalis, Vangelis Sakkalis, Christina Farmaki, Georgios Christodoulakis
Brain-computer interfaces have been extensively studied and used in order to aid patients suffering from neuromuscular diseases to communicate and control the surrounding environment. Steady-state visual evoked potentials (SSVEP) constitute a very popular BCI stimulation protocol, due to their efficiency and quick response time. In this study, we developed a SSVEP-based BCI along with a low-cost custom radio-controlled robot-car providing live video feedback from a wireless camera mounted on the robot, serving as our testbed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227090/amplitude-based-beat-detection-for-atrial-fibrillation-in-pacemaker
#17
Seung Hwan Lee, Hyoun Seok Myoung, Chang Hoon Kang, Eue Keun Choi, Kyoung Joung Lee, Seung Hwan Lee, Hyoun Seok Myoung, Chang Hoon Kang, Eue Keun Choi, Kyoung Joung Lee, Chang Hoon Kang, Eue Keun Choi, Seung Hwan Lee, Kyoung Joung Lee, Hyoun Seok Myoung
Bradycardia is defined as a sinus rhythm of less than 60 beats per minute and atrial tachyarrhythmia including atrial fibrillation (AF) is frequently associated with bradycardia. Pacemaker is the only effective treatment for symptomatic bradycardia and automatic mode switching (AMS) function is built in pacemaker to switch mode in the presence of atrial tachyarrhythmia. AMS algorithms consider appropriate mode switching in case of undersensing or oversensing and this consideration makes their onset time and resynchronization time late...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227011/how-many-sleep-stages-do-we-need-for-an-efficient-automatic-insomnia-diagnosis
#18
Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed
Tools used by clinicians to diagnose and treat insomnia typically include sleep diaries and questionnaires. Overnight polysomnography (PSG) recordings are used when the initial diagnosis is uncertain due to the presence of other sleep disorders or when the treatment, either behavioral or pharmacologic, is unsuccessful. However, the analysis and the scoring of PSG data are time-consuming. To simplify the diagnosis process, in this paper we have proposed an efficient insomnia detection algorithm based on a central single electroencephalographic (EEG) channel (C3) using only deep sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227007/identification-of-blood-biomarkers-for-use-in-point-of-care-diagnosis-tool-for-alzheimer-s-disease
#19
E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, C Carroll, E Jammeh, E Ifeachor, S Pearson, P Zhao
Early diagnosis of Alzheimer's Disease (AD) is widely regarded as necessary to allow treatment to be started before irreversible damage to the brain occur and for patients to benefit from new therapies as they become available. Low-cost point-of-care (PoC) diagnostic tools that can be used to routinely diagnose AD in its early stage would facilitate this, but such tools require reliable and accurate biomarkers. However, traditional biomarkers for AD use invasive cerebrospinal fluid (CSF) analysis and/or expensive neuroimaging techniques together with neuropsychological assessments...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226985/the-letter-and-shape-drawing-lsd-test-an-efficient-and-systematised-approach-to-testing-of-visuospatial-function
#20
Michael Tenorio, Olugbenga A Williams, Maeve Leonard, Debbie White, Frank McKenna, Colum P Dunne, David Meagher, Chris Exton, Michael Tenorio, Olugbenga A Williams, Maeve Leonard, Debbie White, Frank McKenna, Colum P Dunne, David Meagher, Chris Exton, Debbie White, Olugbenga A Williams, Colum P Dunne, David Meagher, Michael Tenorio, Frank McKenna, Chris Exton, Maeve Leonard
The automation and systemisation of the next generation of cognitive assessment approaches have the potential to change how clinicians assess and interact with patients. This may be especially pertinent in the case of delirium, as current methods often rely on the subjective opinion of clinicians and specialists, with potential for the condition to be overlooked or misdiagnosed. Currently, one of the most commonly used tests, is the clock-drawing test, which has relatively wide appeal as a cognitive screening instrument due to its clinical utility and psychometric properties...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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