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Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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https://www.readbyqxmd.com/read/29060920/automated-lung-sound-analysis-for-detecting-pulmonary-abnormalities
#1
Shreyasi Datta, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal
Identification of pulmonary diseases comprises of accurate auscultation as well as elaborate and expensive pulmonary function tests. Prior arts have shown that pulmonary diseases lead to abnormal lung sounds such as wheezes and crackles. This paper introduces novel spectral and spectrogram features, which are further refined by Maximal Information Coefficient, leading to the classification of healthy and abnormal lung sounds. A balanced lung sound dataset, consisting of publicly available data and data collected with a low-cost in-house digital stethoscope are used...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060919/evaluating-the-use-of-neural-networks-and-acoustic-measurements-to-identify-laryngeal-pathologies
#2
Bruno Sodre, Marcelo Rosa, Ana Dassie-Leite
Nineteen acoustical measurements were related to 23 larynx conditions by artificial neural networks (ANNs) and principal component analysis. An exhaustive analysis (combining all possible sets of acoustical measurements as ANN inputs) showed a performance of 99.4% for accuracy and 90.3% for sensitivity and specificity in classifying voice signals into normal and non-normal larynx conditions. In the case of individual larynx condition identification, the general sensitivity drop significantly (6.4%), although some conditions were better identified (including "vocal nodules" and "cysts") then others, reaching 99...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060918/identification-of-chronic-heart-failure-using-linear-and-nonlinear-analysis-of-heart-sound
#3
Yineng Zheng, Xingming Guo
Chronic heart failure (CHF) is a cardiac condition caused by various of cardiac diseases in the end stage. This paper employed the linear and nonlinear approaches to analyze the heart sound (HS) signals from the patients with CHF. The linear approaches include the time and frequency domain analysis. The nonlinear parameters include largest Lyapunov exponent, correlation dimension, sample entropy and the width of multifractal spectrum, which describe the chaos, fractal characteristics and complexity of the HS signals...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060917/a-robust-dataset-agnostic-heart-disease-classifier-from-phonocardiogram
#4
Rohan Banerjee, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal, K M Mandana
Automatic classification of normal and abnormal heart sounds is a popular area of research. However, building a robust algorithm unaffected by signal quality and patient demography is a challenge. In this paper we have analysed a wide list of Phonocardiogram (PCG) features in time and frequency domain along with morphological and statistical features to construct a robust and discriminative feature set for dataset-agnostic classification of normal and cardiac patients. The large and open access database, made available in Physionet 2016 challenge was used for feature selection, internal validation and creation of training models...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060916/cough-sound-analysis-for-diagnosing-croup-in-pediatric-patients-using-biologically-inspired-features
#5
Roneel V Sharan, Udantha R Abeyratne, Vinayak R Swarnkar, Paul Porter
This paper aims to diagnose croup in children using cough sound signal classification. It proposes the use of a time-frequency image-based feature, referred as the cochleagram image feature (CIF). Unlike the conventional spectrogram image, the cochleagram utilizes a gammatone filter which models the frequency selectivity property of the human cochlea. This helps reveal more spectral information in the time-frequency image making it more useful for feature extraction. The cochleagram image is then divided into blocks and central moments are extracted as features...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060915/feature-extraction-techniques-for-low-power-ambulatory-wheeze-detection-wearables
#6
Jyotibdha Acharya, Arindam Basu, Wee Ser
Presence of wheezes in breathing sounds has been associated with several respiratory and pulmonary diseases. In this paper we present a novel low-complexity wheeze detection method based on frequency contour tracking for automatic wheeze detection. Two hardware friendly variants of the algorithm have also been proposed. Applying the proposed feature extraction algorithm we achieved very high classification accuracy (> 99%) at considerably low computational complexity (3×-6×) compared to earlier methods and the power consumption of the proposed method is shown to be significantly less (70×-100×) compared to `record and transmit' strategy in wearable devices...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060914/three-wavelength-method-for-the-optical-differentiation-of-methemoglobin-and-sulfhemoglobin-in-oxygenated-blood
#7
Spencer R Van Leeuwen, Gladimir V G Baranoski, Bradley W Kimmel
Methemoglobinemia and sulfhemoglobinemia are rare, but potentially life threatening, diseases that refer to an abnormal amount of methemoglobin or sulfhemoglobin in the blood, respectively. Unfortunately, blood samples containing abnormal quantities of methemoglobin or sulfhemoglobin have similar spectral characteristics. This makes it difficult to optically differentiate them and, hence, difficult to diagnose a patient with either disease. However, performing treatments for one of the diseases without a correct diagnosis can introduce increased risk to the patient...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060913/detection-of-generalized-tonic-clonic-seizures-using-short-length-accelerometry-signal
#8
Shitanshu Kusmakar, Chandan K Karmakar, Bernard Yan, Terence J O'Brien, Ramanathan Muthuganapathy, Marimuthu Palaniswami
Epileptic seizures are characterized by the excessive and abrupt electrical discharge in the brain. This asynchronous firing of neurons causes unprovoked convulsions which can be a cause of sudden unexpected death in epilepsy (SUDEP). Remote monitoring of epileptic patients can help prevent SUDEP. Systems based on wearable accelerometer sensors have shown to be effective in ambulatory monitoring of epileptic patients. However, these systems have a trade-off between seizure duration and the false alarm rate (FAR)...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060912/motion-oriented-noisy-physiological-signal-refining-using-embedded-sensing-platforms
#9
Jaeyeon Park, Woojin Nam, Tae Young Kim, Sukhoon Lee, Dukyong Yoon, JeongGil Ko
Recent improvements in data learning techniques have catalyzed the development of various clinical learning systems. However, for clinical applications, training from noisy data can cause significant misleading results, directly leading to potentially dangerous clinical decisions. Given its importance, this work targets to present a preliminary effort to identify corrupted vital sign data by analyzing the patient motions on hospital beds. Specifically, we design an embedded sensor-based motion detection platform to capture and categorize different noise-causing motion on intensive care unit beds through a pre-deployment study at the Ajou University Hospital...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060911/virtual-proprioception-for-eccentric-training
#10
Robert LeMoyne, Timothy Mastroianni
Wireless inertial sensors enable quantified feedback, which can be applied to evaluate the efficacy of therapy and rehabilitation. In particular eccentric training promotes a beneficial rehabilitation and strength training strategy. Virtual Proprioception for eccentric training applies real-time feedback from a wireless gyroscope platform enabled through a software application for a smartphone. Virtual Proprioception for eccentric training is applied to the eccentric phase of a biceps brachii strength training and contrasted to a biceps brachii strength training scenario without feedback...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060910/an-autonomous-medical-monitoring-system-validation-on-arrhythmia-detection
#11
A Lemkaddem, M Proenca, R Delgado-Gonzalo, Ph Renevey, I Oei, G Montano, J A Martinez-Heras, A Donati, M Bertschi, M Lemay
In this paper, we present a generic platform for autonomous medical monitoring and diagnostics. We validated the platform in the context of arrhythmia detection with publicly available databases. The big advantage of this platform is its capacity to deal with various types of physiological signals. Many pre-processing steps are performed to bring the input information into a uniform state that will be explored by a machine learning algorithm. Since this block plays a crucial role in the entire processing pipeline, three different methods were evaluated for detection and classification of anomalies...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060909/differential-effects-of-physical-and-psychological-stressors-on-electrodermal-activity
#12
A S Anusha, Jose Joy, S P Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
Stress being labelled by WHO as "the health epidemic of 21(st) century" need to be treated as a clarion call for devising strategies that aim at its early detection, for the reason that stress is the cause as well as the catalyst for several chronic human health disorders. The work reported here in is a progression towards the development of a stress detection system based on the electrodermal activity (EDA) in humans, which can further be incorporated into a wearable vital signs monitor. The utility of EDA as a potential physiological measure for classifying physical and psychological stressors is analyzed in this paper...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060908/preliminary-study-on-low-intensity-focused-ultrasound-system-for-neuromodulation
#13
Ju Hyung Lee, Hyun Ki Hong, Byeong-Wook Song, Yu Jin Jung, Young Cheol Na, Nam Hyun Kim, Bong-Soo Kim
A Prototype Low Intensity Focused Ultrasound for brain targeting in a rat model was developed and tested. Accordingly, were evaluated low intensity focused ultrasound accuracy and performance. By utilizing the Rat Brain, no death or necrosis of cells, it was confirmed that the energy is gathered at that targeted.
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060907/a-novel-sensor-for-measuring-temperature-profile-during-the-thermoablation
#14
Adam Bujnowski, Jerzy Wtorek
A novel approach for monitoring a temperature distribution inside a tissue during thermoablation is presented in the paper. A thermal profile is measured using a set of serially connected thermistors each bypassed by a capacitor. This technique allows a two-wire and simultaneous multi-point measurements using a multi-frequency measurement of electrical impedance. It is shown that application signals of appropriately selected frequency allows simultaneous measurement of temperature at five distinct points. This technique can be utilized in the assisting of a thermoablation process, and in other applications based on resistive or capacitive sensors...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060906/surface-modifications-of-human-tooth-using-nd-yag-laser-for-dental-applications
#15
Fatanah M Suhaimi, Nur Zarifha Zainol Alam, Suriani Mat Ariffin, Nurul Atiqah Abd Razak, Mohammad Khairul Azhar Abdul Razab
Ablation using Nd:YAG laser has potential in resulting a rough effect on tooth surfaces. The objective of this study is to perform a comparative evaluation of the roughness structure of enamel using the Cynosure Cynergy Nd:YAG laser and 37% phosphoric acid. The results obtained for laser-etched with a pulse width of 300ms show roughed and porous surface with greater depth. Both show remarkable graininess on the surface and fewer indentations. Comparison of the elemental compositions demonstrated that calcium has higher composition when exposed to laser-etch compared to acid-etch...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060905/effects-of-nd-yag-laser-for-the-controlled-and-localized-treatment-of-early-gastrointestinal-tumors-preliminary-in-vivo-study
#16
P Saccomandi, G Quero, G Costamagna, M Diana, J Marescaux
Endoscopic submucosal dissection (ESD) is a minimally invasive technique allowing for the removal of early gastrointestinal (GI) tumors, widely considered as a valid alternative to conventional surgery. However, ESD is technically demanding, and potentially severe complications, such as bleeding and perforation, may occur. Energy-based techniques (e.g., radiofrequency ablation) might offer a potential alternative to ESD. However, their use mandates the ability to predict the damage induced and to identify a "signature" of the complete ablation, without the need for a physical specimen...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060904/tapered-fiber-optic-applicator-for-laser-ablation-theoretical-and-experimental-assessment-of-thermal-effects-on-ex-vivo-model
#17
P Saccomandi, F M Di Matteo, E Schena, G Quero, C Massaroni, F Giurazza, G Costamagna, S Silvestri
Laser Ablation (LA) is a minimally invasive technique for tumor removal. The laser light is guided into the target tissue by a fiber optic applicator; thus the physical features of the applicator tip strongly influence size and shape of the tissue lesion. This study aims to verify the geometry of the lesion achieved by a tapered-tip applicator, and to investigate the percentage of thermally damaged cells induced by the tapered-tip fiber optic applicator. A theoretical model was implemented to simulate: i) the distribution of laser light fluence rate in the tissue through Monte Carlo method, ii) the induced temperature distribution, by means of the Bio Heat Equation, iii) the tissue injury, by Arrhenius integral...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060903/development-of-evaluation-methods-for-the-approval-and-review-of-intense-pulsed-light-ipl
#18
Seung-Youl Lee, Cho-Long Ju, Tae-Hee Lee, Hyeon-Su Na, In-Su Lee, Chang-Won Park
This Intense pulsed light (IPL) is skin therapy medical device to remove infection and lesion. The market size of IPL has increased because of increasing device users such as doctors, nurses, engineers, patients. Thus, the number of IPL approvals by Ministry of Food and Drug Safety (MFDS) has increased. However, since there are no standard and guideline for evaluation of IPL performance and safety, it is need to develop the evaluation method of IPL performance and safety for petitioners and examiners who are having difficulties in approval and review...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060902/detection-of-chewing-motion-in-the-elderly-using-a-glasses-mounted-accelerometer-in-a-real-life-environment
#19
Gert Mertes, Hans Hallez, Bart Vanrumste, Tom Croonenborghs
This paper describes a method of detecting an elderly person's chewing motion using a glasses mounted accelerometer. A real-life dataset was collected from 13 elderly adults, aged 65 or older, during meal times in a care facility. A supervised classifier is used to automatically distinguish between epochs of chewing and non-chewing activity. Results are compared to a lab dataset of 5 young to middle-aged adults captured in previous work. K-Nearest Neighbor, Random Forest and Support Vector Machine classifiers are evaluated...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060901/novel-features-from-autocorrelation-and-spectrum-to-classify-phonocardiogram-quality
#20
Deepan Das, Rohan Banerjee, Anirban Dutta Choudhury, Sakyajit Bhattacharya, Parijat Deshpande, Arpan Pal, Kayapanda M Mandana
Phonocardiogram (PCG) or auscultation via a stethoscope forms the basis of preliminary medical screening. But PCG recorded in an uncontrolled environment is inherently noisy. In this paper we have derived novel features from the spectral domain and autocorrelation waveforms. These are used to identify the quality of a PCG recording and accepting only diagnosable quality recordings for further analysis. These features proved to be robust irrespective of variations in devices and in data collection protocols employed to ensure consistent data quality...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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