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https://www.readbyqxmd.com/read/28227996/a-novel-approach-for-chewing-detection-based-on-a-wearable-ppg-sensor
#1
Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Vasileios Papapanagiotou, Christos Diou, Lingchuan Zhou, Janet van den Boer, Monica Mars, Anastasios Delopoulos, Janet van den Boer, Vasileios Papapanagiotou, Lingchuan Zhou, Anastasios Delopoulos, Monica Mars, Christos Diou
Monitoring of human eating behaviour has been attracting interest over the last few years, as a means to a healthy lifestyle, but also due to its association with serious health conditions, such as eating disorders and obesity. Use of self-reports and other non-automated means of monitoring have been found to be unreliable, compared to the use of wearable sensors. Various modalities have been reported, such as acoustic signal from ear-worn microphones, or signal from wearable strain sensors. In this work, we introduce a new sensor for the task of chewing detection, based on a novel photoplethysmography (PPG) sensor placed on the outer earlobe to perform the task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227979/dispersion-entropy-for-the-analysis-of-resting-state-meg-regularity-in-alzheimer-s-disease
#2
Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Alberto Fernandez, Javier Escudero, Mostafa Rostaghi, Hamed Azami
Alzheimer's disease (AD) is a progressive degenerative brain disorder affecting memory, thinking, behaviour and emotion. It is the most common form of dementia and a big social problem in western societies. The analysis of brain activity may help to diagnose this disease. Changes in entropy methods have been reported useful in research studies to characterize AD. We have recently proposed dispersion entropy (DisEn) as a very fast and powerful tool to quantify the irregularity of time series. The aim of this paper is to evaluate the ability of DisEn, in comparison with fuzzy entropy (FuzEn), sample entropy (SampEn), and permutation entropy (PerEn), to discriminate 36 AD patients from 26 elderly control subjects using resting-state magnetoencephalogram (MEG) signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227918/longitudinal-wearable-tremor-measurement-system-with-activity-recognition-algorithms-for-upper-limb-tremor
#3
Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Claire Parnell, Thomas Wichmann, Stephen P DeWeerth, Jeonghee Kim
Assessments of tremor characteristics by movement disorder physicians are usually done at single time points in clinic settings, so that the description of the tremor does not take into account the dependence of the tremor on specific behavioral situations. Moreover, treatment-induced changes in tremor or behavior cannot be quantitatively tracked for extended periods of time. We developed a wearable tremor measurement system with tremor and activity recognition algorithms for long-term upper limb behavior tracking, to characterize tremor characteristics and treatment effects in their daily lives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227834/development-of-semi-chronic-microdrive-system-for-large-scale-circuit-mapping-in-macaque-mesolimbic-and-basal-ganglia-systems
#4
Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Kevin A Brown, Amy L Orsborn, Breonna Ferrentino, Bijan Pesaran, Shaoyu Qiao, Amy L Orsborn, Breonna Ferrentino, Kevin A Brown, Bijan Pesaran
The development of novel neurotechnologies for treating refractory neuropsychiatry disorders depends on understanding and manipulating the dynamics of neural circuits across large-scale brain networks. The mesolimbic pathway plays an essential role in reward processing and mood regulation and disorders of this pathway underlie many neuropsychiatric disorders. Here, we present the design of a customized semi-chronic microdrive array that precisely targets the anatomical structures of non-human primate (NHP) mesolimbic and basal ganglia systems...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227708/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#5
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Carlo M Noble, Abdul Q Javaid, Mary A Weitnauer, Russell Rosenberg
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227698/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#6
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Michael Breakspear, Ahmed Al-Ani, Tjeerd W Boonstra, Colleen K Loo
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227693/using-bioimpedance-spectroscopy-parameters-as-real-time-feedback-during-tdcs
#7
Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Miodrag Bolic, Herschel Caytak
An exploratory analysis is carried out to investigate the feasibility of using BioImpedance Spectroscopy (BIS) parameters, measured on scalp, as real-time feedback during Transcranial Direct Current Stimulation (tDCS). TDCS is shown to be a potential treatment for neurological disorders. However, this technique is not considered as a reliable clinical treatment, due to the lack of a measurable indicator of treatment efficacy. Although the voltage that is applied on the head is very simple to measure during a tDCS session, changes of voltage are difficult to interpret in terms of variables that affect clinical outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227679/wildcard-a-wearable-virtual-reality-storytelling-tool-for-children-with-intellectual-developmental-disability
#8
Mirko Gelsomini, Franca Garzotto, Daniele Montesano, Daniele Occhiuto, Mirko Gelsomini, Franca Garzotto, Daniele Montesano, Daniele Occhiuto, Daniele Montesano, Franca Garzotto, Mirko Gelsomini, Daniele Occhiuto
Our research aims at supporting existing therapies for children with intellectual and developmental disorders (IDD). The personal and social autonomy is the desired end state to be achieved to enable a smooth integration in the real world. We developed and tested a framework for storytelling and learning activities that exploits an immersive virtual reality viewer to interact with target users. We co-designed our system with experts from the medical sector, identifying features that allow patients to stay focused on exercises to perform...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227673/colorimetric-determinations-of-lithium-levels-in-drop-volumes-of-human-plasma-for-monitoring-patients-with-bipolar-mood-disorder
#9
M Qassem, M Hickey, P A Kyriacou, M Qassem, M Hickey, P A Kyriacou, M Qassem, M Hickey, P A Kyriacou
Lithium preparations are considered the most reliable form of mood stabilizing medication for patients with Bipolar disorder. Nevertheless, lithium is a toxic element and its therapeutic range is extremely narrow, with levels of 0.61.0 mEq considered normal, whereas levels above 1.5 mEq are toxic. Thus unfortunately, many patients reach toxic levels that lead to unnecessary complications. It is believed that personal monitoring of blood lithium levels would benefit patients taking lithium medication. Therefore, our aim is to develop a personal lithium blood level analyzer for patients with bipolar mood disorder, and we report here our initial results of a colorimetric-based method used to test drop-volumes of human plasma that had been spiked with lithium...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227574/automatic-sleep-stage-classification-using-ear-eeg
#10
Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm
Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227557/sudden-changes-in-walking-surface-compliance-evoke-contralateral-emg-in-a-hemiparetic-walker-a-case-study-of-inter-leg-coordination-after-neurological-injury
#11
Jeffrey Skidmore, Panagiotis Artemiadis, Jeffrey Skidmore, Panagiotis Artemiadis, Jeffrey Skidmore, Panagiotis Artemiadis
Gait impairment due to neurological disorders is a significant problem around the world. Despite the growing interest in using robotic devices for gait rehabilitation, their widespread use remains limited as there is no clear evidence that robot-assisted gait therapy is superior to traditional treadmill-based therapy. This work is a case study that focuses on investigating the existence of mechanisms of inter-leg coordination after neurological injury, and based on that, proposing novel methods for gait rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227495/vibrocv-a-computer-vision-based-vibroarthrography-platform-with-possible-application-to-juvenile-idiopathic-arthritis
#12
Andrew D Wiens, Sampath Prahalad, Omer T Inan, Andrew D Wiens, Sampath Prahalad, Omer T Inan, Andrew D Wiens, Omer T Inan, Sarnpath Prahalad
Vibroarthrography, a method for interpreting the sounds emitted by a knee during movement, has been studied for several joint disorders since 1902. However, to our knowledge, the usefulness of this method for management of Juvenile Idiopathic Arthritis (JIA) has not been investigated. To study joint sounds as a possible new biomarker for pediatric cases of JIA we designed and built VibroCV, a platform to capture vibroarthrograms from four accelerometers; electromyograms (EMG) and inertial measurements from four wireless EMG modules; and joint angles from two Sony Eye cameras and six light-emitting diodes with commercially-available off-the-shelf parts and computer vision via OpenCV...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227475/label-free-detection-of-sex-determining-region-y-sry-via-capacitive-biosensor
#13
Shilpa Sivashankar, Christos Sapsanis, Sumeyra Agambayev, Ulrich Buttner, Khaled Nabil Salama, Shilpa Sivashankar, Christos Sapsanis, Sumeyra Agambayev, Ulrich Buttner, Khaled Nabil Salama, Khaled Nabil Salama, Shilpa Sivashankar, Sumeyra Agambayev, Christos Sapsanis, Ulrich Buttner
In this work, we present for the first time, the use of a simple fractal capacitive biosensor for the quantification and detection of sex-determining region Y (SRY) genes. This section of genetic code, which is found on the Y chromosome, finds importance for study as it causes fetuses to develop characteristics of male sex-like gonads when a mutation occurs. It is also an important genetic code in men, and disorders involving the SRY gene can cause infertility and sexual malfunction that lead to a variety of gene mutational disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227458/study-of-phase-estimation-methods-to-analyse-cardiorespiratory-synchronization-in-osa-patients
#14
Jordi Sola-Soler, Beatriz F Giraldo, Jose A Fiz, Raimon Jane, Jordi Sola-Soler, Beatriz F Giraldo, Jose A Fiz, Raimon Jane, Beatriz F Giraldo, Raimon Jane, Jose A Fiz, Jordi Sola-Soler
Obstructive Sleep Apnea (OSA) is a sleep disorder highly prevalent in the general population. Cardiorespiratory Phase Synchronization (CRPS) is a form of non-linear interaction between respiratory and cardiovascular systems that was found to be reduced in severe OSA patients. The Hilbert Transform (HT) method was the recommended choice for estimating the respiratory phase in CRPS studies. But we have noticed that HT provides a phase that is aligned to the transition between the exhalation and the inhalation parts of different breathing cycles, instead of being aligned to the breathing onsets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227410/localized-mri-and-histological-image-correlation-in-a-canine-model-of-duchenne-muscular-dystrophy
#15
A Eresen, S McConnell, S M Birch, J F Griffin, J N Kornegay, J X Ji, A Eresen, S McConnell, S M Birch, J F Griffin, J N Kornegay, J X Ji, J X Ji, J F Griffin, S McConnell, S M Birch, A Eresen, J N Kornegay
Duchenne Muscular Dystrophy (DMD) is a fatal X-linked disorder. Therapeutic assessments currently require muscle biopsy to ascertain information about the status of disease progression. MRI shows potential to be used in place of muscle biopsy for therapeutic assessments. In this work, localized histological data and various MRI parameters were correlated in a canine model of DMD. The results indicate several MRI parameters may be useful as biomarkers of disease progression.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227408/structural-brain-network-analysis-in-schizophrenia-using-minimum-spanning-tree
#16
Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Ali Anjomshoa, Mahsa Dolatshahi, Fatemeh Amirkhani, Farzaneh Rahmani, Mehdi M Mirbagheri, Mohammad Hadi Aarabi, Mehdi M Mirbagheri, Mahsa Dolatshahi, Ali Anjomshoa, Farzaneh Rahmani, Fatemeh Amirkhani, Mohammad Hadi Aarabi
Schizophrenia is a mental disorder in which functional and structural brain networks are disrupted. Classical network analysis has been used by many researchers to quantify brain networks and to study the network changes in schizophrenia, but unfortunately metrics used in this classical method highly depend on the networks' density and weight; the comparisons made by this method are biased. The minimum spanning tree (MST) is an alternative method to solve this problem, but its usefulness in studying the schizophrenic brain network has not been examined yet...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227400/sulcal-curve-extraction-using-laplace-beltrami-eigenfunction-level-sets
#17
Rosita Shishegar, Mary Tolcos, David W Walker, Leigh A Johnston, Rosita Shishegar, Mary Tolcos, David W Walker, Leigh A Johnston, David W Walker, Mary Tolcos, Leigh A Johnston, Rosita Shishegar
The complexity of the human cortex is demonstrated in the intricate pattern of gyri and sulci that arise from the cortical folding process during development. Quantitative assessment of cortical folding is important in the definition of normal brain development and provides insight into neurodevelopmental disorders. In this work, a method for sulcal curve extraction is proposed that combines the advantages of previously proposed depth based and curvature based methods. The technique, derived from Laplace Beltrami eigenfunction level sets, maps mean curvature on the level sets, and incorporates depth information using extracted sulci and gyri, a characteristic previously attributed only to depth based methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227358/a-view-invariant-gait-cycle-segmentation-for-ambient-monitoring
#18
Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu
Gait analysis has many clinical applications in disease detection and treatment evaluation. Gait cycle segmentation is a critical component in gait analysis for timing the gait phases in evaluating many movement disorders. Computer vision techniques have been widely used in surveillance for security monitoring. They are nonintrusive and do not require cooperation from subjects. In this paper, we propose to leverage the videos from existing surveillance monitoring systems to provide long-term and ambient assessments of gait patterns from subjects' daily activity without the requirement of wearing a device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227351/video-based-depression-detection-using-local-curvelet-binary-patterns-in-pairwise-orthogonal-planes
#19
Anastasia Pampouchidou, Kostas Marias, Manolis Tsiknakis, Panagiotis Simos, Fan Yang, Guillaume Lemaitre, Fabrice Meriaudeau, Anastasia Pampouchidou, Kostas Marias, Manolis Tsiknakis, Panagiotis Simos, Fan Yang, Guillaume Lemaitre, Fabrice Meriaudeau, Fabrice Meriaudeau, Guillaume Lemaitre, Manolis Tsiknakis, Kostas Marias, Anastasia Pampouchidou, Panagiotis Simos, Fan Yang
Depression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227344/detection-of-mental-stress-due-to-oral-academic-examination-via-ultra-short-term-hrv-analysis
#20
R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James, R Castaldo, C James, W Xu, P Melillo, L Santamaria, L Pecchia
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minutes) HRV has been not. This study aims to detect mental stress using linear and non-linear HRV features extracted from 3 minutes ECG excerpts recorded from 42 university students, during oral examination (stress) and at rest after a vacation. HRV features were then extracted and analyzed according to the literature using validated software tools...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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