A5026652585- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory and Cough-Related Research
- Phonocardiography and Auscultation Techniques
- Respiratory viral infections research
- Speech and Audio Processing
- Music and Audio Processing
- Pediatric health and respiratory diseases
- Mycobacterium research and diagnosis
- Emergency and Acute Care Studies
- Pneumonia and Respiratory Infections
- Diagnosis and treatment of tuberculosis
- Tuberculosis Research and Epidemiology
- Pneumothorax, Barotrauma, Emphysema
- Burkholderia infections and melioidosis
- Gastrointestinal disorders and treatments
- Advanced Data Compression Techniques
- Music Technology and Sound Studies
- Asthma and respiratory diseases
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Mobile Health and mHealth Applications
- Pharmacological Effects of Natural Compounds
Tampere University
2002
In this paper, we address the problem of computational auditory scene recognition and describe methods to classify scenes into predefined classes. By mean an environment using audio information only. The comprised tens everyday outside inside environments, such as streets, restaurants, offices, family homes, cars. Two completely different but almost equally effective classification systems were used: band-energy ratio features with 1-NN classifier Mel-frequency cepstral coefficients Gaussian...
Abstract Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
Background Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. Methods Participants aged 40 75 years with without symptoms who had no condition apart from COPD, bronchitis, emphysema were...
Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiological examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or inputs. Design setting A prospective cohort study using data from participants aged >12 years acute symptoms...
dysmotility symptoms score.A multivariate linear regression analysis revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
<b>Introduction:</b> Identifying exacerbations in patients with COPD is necessary to allow the implementation of timely and appropriate treatment but resource intensive may be confused other conditions. <b>Aim:</b> To determine accuracy exacerbation detection subjects aged over 40 years using a smartphone-based algorithm that analyses cough sounds patient-reported symptoms. <b>Methods:</b> A diagnostic model (index test) was developed five three-patient reported features (age, fever acute...
ABSTRACT Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiologic examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or radiology inputs. Design Setting A prospective cohort study using data from subjects aged over 12 years acute...
dysmotility symptoms score.A multivariate linear regression revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
Analysis of the National Health Insurance data has been actively carried out for purpose academic research and establishing scientific evidences health care service policy asthma.However, there a limitation accuracy extracted through conventional operational definition.Aim: To establish an definition that predicts asthma more accurately.Methods: From Jan 2017 to 2018, we patients with using in St. Paul's Hospital at Catholic University Korea.Among these, 10% were randomly sampled...
mucormycosis is an uncommon, life-threatening opportunistic fungal infection which affects immunocompromised patients such as diabetes, recipients of stem cell or organ transplant, and has worse outcomes in those with hematologic malignancy neutropenia.Methods: A 35 years old male patient uncontrolled type II Diabemellitus presented to casualty complaints cough associated thick dark brownish sputum for 1 month, fever, loss appetite weight since 15 days.His vitals were stable at the time...
ABSTRACT Background Rapid and accurate diagnosis of Chronic Obstructive Pulmonary Disease (COPD) is problematic in acute-care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid, smartphone-based algorithm for detection COPD, or absence acute respiratory infection, then evaluate diagnostic accuracy on an independent validation set. Methods Subjects aged 40-75 years with without symptoms disease who had no chronic condition apart...
ABSTRACT Acute Exacerbations of Chronic Obstructive Pulmonary Disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
<sec> <title>BACKGROUND</title> Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. </sec> <title>OBJECTIVE</title> The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. <title>METHODS</title> Participants aged 40 75 years with without symptoms who...