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https://www.readbyqxmd.com/read/29148182/reliability-validity-and-minimal-detectable-change-of-computerised-respiratory-sounds-in-patients-with-chronic-obstructive-pulmonary-disease
#1
Ana Oliveira, Susan Lage, João Rodrigues, Alda Marques
INTRODUCTION: Computerised respiratory Sounds (CRS) are closely related to the movement of air within the tracheobronchial tree, and are promising outcome measures in patients with chronic obstructive pulmonary disease (COPD). However, CRS measurement properties have been poorly tested. OBJECTIVE: To assess the reliability, validity, and the minimal detectable changes (MDC) of CRS in patients with stable COPD. METHODS: Fifty patients (36♂, 67...
November 17, 2017: Clinical Respiratory Journal
https://www.readbyqxmd.com/read/29143446/realism-in-paediatric-emergency-simulations-a-prospective-comparison-of-in-situ-low-fidelity-and-centre-based-high-fidelity-scenarios
#2
Fenton O'Leary, Ioannis Pegiazoglou, Kathryn McGarvey, Ruza Novakov, Ingrid Wolfsberger, Jennifer Peat
OBJECTIVE: To measure scenario participant and faculty self-reported realism, engagement and learning for the low fidelity, in situ simulations and compare this to high fidelity, centre-based simulations. METHODS: A prospective survey of scenario participants and faculty completing in situ and centre-based paediatric simulations. RESULTS: There were 382 responses, 276 from scenario participants and 106 from faculty with 241 responses from in situ and 141 from centre-based simulations...
November 16, 2017: Emergency Medicine Australasia: EMA
https://www.readbyqxmd.com/read/29132198/clinical-features-of-snoring-patients-during-sedative-endoscopy
#3
Jung Wha Chung, Nayoung Kim, Jee Hye Wee, Jaebong Lee, Jongchan Lee, Soohoon Kwon, Young-Jae Hwang, Hyuk Yoon, Cheol Min Shin, Young Soo Park, Dong Ho Lee, Jin-Wook Kim
Background/Aims: Snoring is the sound of turbulence and vibration of the upper respiratory tissues and has been identified as a risk factor of obstructive sleep apnea (OSA) and cardiovascular disease. The aim of this study was to identify associated clinical factors in snoring patients undergoing sedative endoscopy. Methods: A total of 49 patients who snored during standard sedative endoscopy and 127 controls were prospectively enrolled from June 2015 to June 2016...
November 15, 2017: Korean Journal of Internal Medicine
https://www.readbyqxmd.com/read/29120036/rapid-assessment-with-physical-examination-in-dyspnoeic-cats-the-rapid-cat-study
#4
D Dickson, C J L Little, J Harris, M Rishniw
OBJECTIVES: To determine the underlying disease prevalence in acute feline dyspnoea and to examine whether historical and clinical examination findings can differentiate between acute cardiac and non-cardiac dyspnoea in cats in primary practice. MATERIALS AND METHODS: We prospectively enrolled cats presenting with dyspnoea for the first time to primary practice between June 1, 2011 and October 31, 2016. We collected signalment, historical and clinical data at presentation using a standard form...
November 9, 2017: Journal of Small Animal Practice
https://www.readbyqxmd.com/read/29119961/-the-effectiveness-of-the-improvement-of-health-in-the-schoolchildren-staying-in-a-country-summer-camp
#5
D N Lir, A Ya Perevalov
Organization of recreational activities in the children's camps is inseparable from the assessment of their effectiveness. AIM: The objective of the present study was to estimate the influence of the pastime of the children in a summer camp under the habitual climatic conditions and the resulting improvement of their health status including the body component composition and the functional state of the organism. MATERIAL AND METHODS: The study included 44 schoolchildren at the age from 9 to12 years...
2017: Voprosy Kurortologii, Fizioterapii, i Lechebnoĭ Fizicheskoĭ Kultury
https://www.readbyqxmd.com/read/29101633/numerical-study-of-dynamic-glottis-and-tidal-breathing-on-respiratory-sounds-in-a-human-upper-airway-model
#6
Jinxiang Xi, Zhaoxuan Wang, Khaled Talaat, Carri Glide-Hurst, Haibo Dong
BACKGROUND: Human snores are caused by vibrating anatomical structures in the upper airway. The glottis is a highly variable structure and a critical organ regulating inhaled flows. However, the effects of the glottis motion on airflow and breathing sound are not well understood, while static glottises have been implemented in most previous in silico studies. The objective of this study is to develop a computational acoustic model of human airways with a dynamic glottis and quantify the effects of glottis motion and tidal breathing on airflow and sound generation...
November 3, 2017: Sleep & Breathing, Schlaf & Atmung
https://www.readbyqxmd.com/read/29100262/comparison-of-the-effect-of-cold-drink-and-dexamethasone-and-their-combined-effect-on-children-with-croup
#7
Mojgan Faraji-Goodarzi, Nadereh Taee, Mehrnoosh Mohammadi-Kamalvand
Aims Croup is a clinical syndrome which included inspiratory stridor, coughing with a dog-like sound, noise obstruction and respiratory distress symptoms. This present study was conducted to compare the effects of cold drink and dexamethasone, and the effects of their co-administration on children's croup. Materials and Methods In this study, all patients with croup admitted to the emergency ward of Madani Hospital Khorramabad were divided through the simple randomized method into 3 groups after informed consents were taken from their parents...
November 3, 2017: Drug Research
https://www.readbyqxmd.com/read/29083268/advances-in-remote-respiratory-assessments-for-people-with-chronic-obstructive-pulmonary-disease-a-systematic-review
#8
Sidney Baroi, Renae J McNamara, David K McKenzie, Simon Gandevia, Matthew A Brodie
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality. Advances in remote technologies and telemedicine provide new ways to monitor respiratory function and improve chronic disease management. However, telemedicine does not always include remote respiratory assessments, and the current state of knowledge for people with COPD has not been evaluated. OBJECTIVE: Systematically review the use of remote respiratory assessments in people with COPD, including the following questions: What devices have been used? Can acute exacerbations of chronic obstructive pulmonary disease (AECOPD) be predicted by using remote devices? Do remote respiratory assessments improve health-related outcomes? MATERIALS AND METHODS: The review protocol was registered (PROSPERO 2016:CRD42016049333)...
October 30, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/29066881/entropy-change-of-biological-dynamics-in-copd
#9
REVIEW
Yu Jin, Chang Chen, Zhixin Cao, Baoqing Sun, Iek Long Lo, Tzu-Ming Liu, Jun Zheng, Shixue Sun, Yan Shi, Xiaohua Douglas Zhang
In this century, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of large amount of data in human physiological signals. Entropy is a key metric for quantifying the irregularity contained in physiological signals. In this review, we focus on how entropy changes in various physiological signals in COPD. Our review concludes that the entropy change relies on the types of physiological signals under investigation...
2017: International Journal of Chronic Obstructive Pulmonary Disease
https://www.readbyqxmd.com/read/29066290/phenotype-classification-using-the-combination-of-lung-sound-analysis-and-fractional-exhaled-nitric-oxide-for-evaluating-asthma-treatment
#10
Terufumi Shimoda, Yasushi Obase, Yukio Nagasaka, Sadahiro Asai
BACKGROUND: We report the utility of combining lung sound analysis and fractional exhaled nitric oxide (FeNO) for phenotype classification of airway inflammation in patients with bronchial asthma. We investigated the usefulness of the combination of the expiration-to-inspiration sound power ratio in the mid-frequency range (E/I MF) of 200-400 Hz and FeNO for comprehensively classifying disease type and evaluating asthma treatment. METHODS: A total of 233 patients with bronchial asthma were included...
October 21, 2017: Allergology International: Official Journal of the Japanese Society of Allergology
https://www.readbyqxmd.com/read/29064746/-kiss-myasthma-using-a-participatory-design-approach-to-develop-a-self-management-app-with-young-people-with-asthma
#11
S R Davis, D Peters, R A Calvo, S M Sawyer, J M Foster, L Smith
OBJECTIVE: Young people with asthma often lack engagement in self-management. Smartphone apps offer an attractive, immediate method for obtaining asthma information and self-management support. In this research we developed an evidence-based asthma app tailored to young people's needs, created using a participatory design approach to optimise user-engagement. This paper describes the participatory design process. METHODS: This multi-phased research included concept generation and ideation of app design by young people with asthma, and development of asthma information by the research team...
October 24, 2017: Journal of Asthma: Official Journal of the Association for the Care of Asthma
https://www.readbyqxmd.com/read/29062271/aminoglycoside-induced-cochleotoxicity-a-review
#12
REVIEW
Meiyan Jiang, Takatoshi Karasawa, Peter S Steyger
Aminoglycoside antibiotics are used as prophylaxis, or urgent treatment, for many life-threatening bacterial infections, including tuberculosis, sepsis, respiratory infections in cystic fibrosis, complex urinary tract infections and endocarditis. Although aminoglycosides are clinically-essential antibiotics, the mechanisms underlying their selective toxicity to the kidney and inner ear continue to be unraveled despite more than 70 years of investigation. The following mechanisms each contribute to aminoglycoside-induced toxicity after systemic administration: (1) drug trafficking across endothelial and epithelial barrier layers; (2) sensory cell uptake of these drugs; and (3) disruption of intracellular physiological pathways...
2017: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/29060916/cough-sound-analysis-for-diagnosing-croup-in-pediatric-patients-using-biologically-inspired-features
#13
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
#14
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/29060727/-you-sound-ill-take-the-day-off-automatic-recognition-of-speech-affected-by-upper-respiratory-tract-infection
#15
Nicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, Jarek Krajewski, Bjorn Schuller
A combination of passive, non-invasive and nonintrusive smart monitoring technologies is currently transforming healthcare. These technologies will soon be able to provide immediate health related feedback for a range of illnesses and conditions. Such tools would be game changing for serious public health concerns, such as seasonal cold and flu, for which early diagnosis and social isolation play a key role in reducing the spread. In this regard, this paper explores, for the first times, the automated classification of individuals with Upper Respiratory Tract Infections (URTI) using recorded speech samples...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060517/respiratory-sounds-classification-using-statistical-biomarker
#16
Ashok Mondal, Hong Tang
In this paper, we have proposed a new feature extraction technique based on statistical morphology of lung sound signal (LS). This work attempts to (i) generate certain intrinsic mode functions (IMFs), (ii) select a set of informative IMFs and (iii) extract relevant features from the selected IMFs and residue. Feature vector is formed by using the higher order moments: mean, standard deviation, skewness and kurtosis and employed as input to the classifier models for classification of three types of LS signals: crackle, wheeze and normal...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060470/detection-of-explosive-cough-events-in-audio-recordings-by-internal-sound-analysis
#17
B M Rocha, L Mendes, R Couceiro, J Henriques, P Carvalho, R P Paiva
We present a new method for the discrimination of explosive cough events, which is based on a combination of spectral content descriptors and pitch-related features. After the removal of near-silent segments, a vector of event boundaries is obtained and a proposed set of 9 features is extracted for each event. Two data sets, recorded using electronic stethoscopes and comprising a total of 46 healthy subjects and 13 patients, were employed to evaluate the method. The proposed feature set is compared to three other sets of descriptors: a baseline, a combination of both sets, and an automatic selection of the best 10 features from both sets...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060142/classification-of-voluntary-coughs-applied-to-the-screening-of-respiratory-disease
#18
Christian Infante, Daniel B Chamberlain, Rahul Kodgule, Richard Ribon Fletcher
Pulmonary and respiratory diseases (e.g. asthma, COPD, allergies, pneumonia, tuberculosis, etc.) represent a large proportion of the global disease burden, mortality, and disability. In this context of creating automated diagnostic tools, we explore how the analysis of voluntary cough sounds may be used to screen for pulmonary disease. As a clinical study, voluntary coughs were recorded using a custom mobile phone stethoscope from 54 patients, of which 7 had COPD, 15 had asthma, 11 had allergic rhinitis, 17 had both asthma and allergic rhinitis, and four had both COPD and allergic rhinitis...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29040453/detection-of-sputum-by-interpreting-the-time-frequency-distribution-of-respiratory-sound-signal-using-image-processing-techniques
#19
Jinglong Niu, Yan Shi, Maolin Cai, Zhixin Cao, Dandan Wang, Zhaozhi Zhang, Xiaohua Douglas Zhang
Motivation: Sputum in the trachea is hard to expectorate and detect directly for the patients who are unconscious, especially those in Intensive Care Unit (ICU). Medical staff should always check the condition of sputum in the trachea. This is time-consuming and the necessary skills are difficult to acquire. Currently, there are few automatic approaches to serve as alternatives to this manual approach. Results: We develop an automatic approach to diagnose the condition of the sputum...
October 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29035230/a-deep-machine-learning-method-for-classifying-cyclic-time-series-of-biological-signals-using-time-growing-neural-network
#20
Arash Gharehbaghi, Maria Linden
This paper presents a novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced performance. It is employed by a multiscale learning structure to classify cyclic time series (CTS), in which the dynamic contents of the time series are preserved in an efficient manner. This paper suggests a systematic procedure for finding the design parameter of the classification method for a one-versus-multiple class application...
October 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
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