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https://www.readbyqxmd.com/read/28318077/the-effectiveness-of-familiar-auditory-stimulus-on-hospitalized-neonates-physiologic-responses-to-procedural-pain
#1
Elham Azarmnejad, Forogh Sarhangi, Mahrooz Javadi, Nahid Rejeh, Susan Amirsalari, Seyed Davood Tadrisi
Hospitalized neonates usually undergo different painful procedures. This study sought to test the effects of a familiar auditory stimulus on the physiologic responses to pain of venipuncture among neonates in intensive care unit. The study design is quasi-experimental. The randomized clinical trial study was done on 60 full-term neonates admitted to the neonatal intensive care unit between March 20 to June 20, 2014. The neonates were conveniently selected and randomly allocated to the control and the experimental groups...
March 20, 2017: International Journal of Nursing Practice
https://www.readbyqxmd.com/read/28269225/a-method-for-extracting-respiratory-frequency-during-blood-pressure-measurement-from-oscillometric-cuff-pressure-pulses-and-korotkoff-sounds-recorded-during-the-measurement
#2
Diliang Chen, Fei Chen, Alan Murray, Dingchang Zheng
Respiratory frequency is an important physiological feature commonly used to assess health. However, the current measurements involve dedicated devices which not only increase the medical cost but also make health monitoring inconvenient. Earlier studies have shown that respiratory frequency could be extracted from electrocardiography (ECG) signal, but little was done to assess the possibility of extracting respiratory frequency from oscillometric cuff pressure pulses (OscP) or Korotkoff sounds (KorS), which are normally used for measuring blood pressure and more easily accessible than the ECG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269103/effect-of-importance-sampling-on-robust-segmentation-of-audio-cough-events-in-noisy-environments
#3
Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Paul Lesso, Javier Escudero, Keshav Dahal, Pablo Casaseca-de-la-Higuera
This paper proposes a new cough detection system based on audio signals acquired from conventional smartphones. The system relies on local Hu moments to characterize cough events and a Λ-NN classifier to distinguish cough events from non-cough ones (speech, laugh, sneeze, etc.) and noisy sounds. To deal with the unbalance between classes, we employ Distinct-Borderline2 Synthetic Minority Oversampling Technique and a bespoke cost matrix. The system additionally features a post-processing module to avoid isolated false negatives and, this way, increases sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269094/resonance-based-respiratory-sound-decomposition-aiming-at-localization-of-crackles-in-noisy-measurements
#4
Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya
In this work, resonance based decomposition of lung sounds that aims to separate wheeze, crackle and vesicular sounds into three individual channels while automatically localizing crackles for both synthetic and real data is presented. Previous works focus on stationary-non stationary discrimination to separate crackles and vesicular sounds disregarding wheezes which are stationary as compared to crackles. However, wheeze sounds include important cues about the underlying pathology. Using two different threshold methods and synthetic sound generation scenarios in the presence of wheezes, resonance based decomposition performs 89...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269092/detection-of-crackle-events-using-a-multi-feature-approach
#5
L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva
The automatic detection of adventitious lung sounds is a valuable tool to monitor respiratory diseases like chronic obstructive pulmonary disease. Crackles are adventitious and explosive respiratory sounds that are usually associated with the inflammation or infection of the small bronchi, bronchioles and alveoli. In this study a multi-feature approach is proposed for the detection of events, in the frame space, that contain one or more crackles. The performance of thirty-five features was tested. These features include thirty-one features usually used in the context of Music Information Retrieval, a wavelet based feature as well as the Teager energy and the entropy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269044/detection-of-patients-considering-observation-frequency-of-continuous-and-discontinuous-adventitious-sounds-in-lung-sounds
#6
Naoki Nakamura, Masaru Yamashita, Shoichi Matsunaga
We propose an improved approach for distinguishing between healthy subjects and patients with pulmonary emphysema by the use of one stochastic acoustic model for continuous adventitious sounds and another for discontinuous adventitious sounds. These models are able to represent the spectral features of the adventitious sounds for the detection of abnormal respiration. However, abnormal respiratory sounds with unclassifiable spectral features are present among the continuous and discontinuous adventitious sounds and mixing noises...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268992/snoring-sound-classification-from-respiratory-signal
#7
Mehrnaz Shokrollahi, Shumit Saha, Peyman Hadi, Frank Rudzicz, Azadeh Yadollahi
Snoring is common in the general population and the irregularity could lead to the presence of Obstructive sleep apnea. Diagnosis of OSA could therefore be made by snoring sound analysis. However, there is still a shortage of robust methods to automatically detect snoring sounds without the need to calibrate for every individual. In this paper, a novel method based on neural network is proposed to classify breathing sound episodes from snoring and non-snoring sound segments. Our snore detection algorithm was applied to the tracheal sounds of nine individuals with different OSA severities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268774/distinguishing-obstructive-from-central-sleep-apneas-and-hypopneas-using-linear-svm-and-acoustic-features
#8
Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer
Sleep Apnea (SA) is a very common but underdiagnosed respiratory disorder. SA has 2 main types, obstructive and central sleep apnea (OSA and CSA, respectively). The distinction between the 2 types is important for proper clinical management. Our aim in this study was to deploy acoustic analysis of breath sounds to distinguish central from obstructive events. We recorded breath sounds from 29 patients from which 45 segments with obstructive only and 40 segments with central only respiratory events were isolated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268332/towards-an-unsupervised-device-for-the-diagnosis-of-childhood-pneumonia-in-low-resource-settings-automatic-segmentation-of-respiratory-sounds
#9
J Sola, F Braun, E Muntane, C Verjus, M Bertschi, F Hugon, S Manzano, M Benissa, A Gervaix
Pneumonia remains the worldwide leading cause of children mortality under the age of five, with every year 1.4 million deaths. Unfortunately, in low resource settings, very limited diagnostic support aids are provided to point-of-care practitioners. Current UNICEF/WHO case management algorithm relies on the use of a chronometer to manually count breath rates on pediatric patients: there is thus a major need for more sophisticated tools to diagnose pneumonia that increase sensitivity and specificity of breath-rate-based algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28266647/heart-rate-responses-induced-by-acoustic-tempo-and-its-interaction-with-basal-heart-rate
#10
Ken Watanabe, Yuuki Ooishi, Makio Kashino
Many studies have revealed the influences of music on the autonomic nervous system (ANS). Since previous studies focused on the effects of acoustic tempo on the ANS, and humans have their own physiological oscillations such as the heart rate (HR), the effects of acoustic tempo might depend on the HR. Here we show the relationship between HR elevation induced by acoustic tempo and individual basal HR. Since high tempo-induced HR elevation requires fast respiration, which is based on sympatho-respiratory coupling, we controlled the participants' respiration at a faster rate (20 CPM) than usual (15 CPM)...
March 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28227455/a-method-for-extracting-respiratory-frequency-during-blood-pressure-measurement-from-oscillometric-cuff-pressure-pulses-and-korotkoff-sounds-recorded-during-the-measurement
#11
Diliang Chen, Fei Chen, Alan Murray, Dingchang Zheng, Diliang Chen, Fei Chen, Alan Murray, Dingchang Zheng, Dingchang Zheng, Alan Murray, Fei Chen, Diliang Chen
Respiratory frequency is an important physiological feature commonly used to assess health. However, the current measurements involve dedicated devices which not only increase the medical cost but also make health monitoring inconvenient. Earlier studies have shown that respiratory frequency could be extracted from electrocardiography (ECG) signal, but little was done to assess the possibility of extracting respiratory frequency from oscillometric cuff pressure pulses (OscP) or Korotkoff sounds (KorS), which are normally used for measuring blood pressure and more easily accessible than the ECG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227328/effect-of-importance-sampling-on-robust-segmentation-of-audio-cough-events-in-noisy-environments
#12
Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Paul Lesso, Javier Escudero, Keshav Dahal, Pablo Casaseca-de-la-Higuera, Jesus Monge-Alvarez, Carlos Hoyos-Barcelo, Paul Lesso, Javier Escudero, Keshav Dahal, Pablo Casaseca-de-la-Higuera, Javier Escudero, Jesus Monge-Alvarez, Keshav Dahal, Carlos Hoyos-Barcelo, Pablo Casaseca-De-La-Higuera, Paul Lesso
This paper proposes a new cough detection system based on audio signals acquired from conventional smartphones. The system relies on local Hu moments to characterize cough events and a Λ-NN classifier to distinguish cough events from non-cough ones (speech, laugh, sneeze, etc.) and noisy sounds. To deal with the unbalance between classes, we employ Distinct-Borderline2 Synthetic Minority Oversampling Technique and a bespoke cost matrix. The system additionally features a post-processing module to avoid isolated false negatives and, this way, increases sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227315/resonance-based-respiratory-sound-decomposition-aiming-at-localization-of-crackles-in-noisy-measurements
#13
Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya, Sezer Ulukaya, Gorkem Serbes, Yasemin P Kahya
In this work, resonance based decomposition of lung sounds that aims to separate wheeze, crackle and vesicular sounds into three individual channels while automatically localizing crackles for both synthetic and real data is presented. Previous works focus on stationary-non stationary discrimination to separate crackles and vesicular sounds disregarding wheezes which are stationary as compared to crackles. However, wheeze sounds include important cues about the underlying pathology. Using two different threshold methods and synthetic sound generation scenarios in the presence of wheezes, resonance based decomposition performs 89...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227313/detection-of-crackle-events-using-a-multi-feature-approach
#14
L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva, L Mendes, I M Vogiatzis, E Perantoni, E Kaimakamis, I Chouvarda, N Maglaveras, J Henriques, P Carvalho, R P Paiva, I Chouvarda, P Carvalho, L Mendes, E Perantoni, R P Paiva, J Henriques, I M Vogiatzis, N Maglaveras, E Kaimakamis
The automatic detection of adventitious lung sounds is a valuable tool to monitor respiratory diseases like chronic obstructive pulmonary disease. Crackles are adventitious and explosive respiratory sounds that are usually associated with the inflammation or infection of the small bronchi, bronchioles and alveoli. In this study a multi-feature approach is proposed for the detection of events, in the frame space, that contain one or more crackles. The performance of thirty-five features was tested. These features include thirty-one features usually used in the context of Music Information Retrieval, a wavelet based feature as well as the Teager energy and the entropy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227259/detection-of-patients-considering-observation-frequency-of-continuous-and-discontinuous-adventitious-sounds-in-lung-sounds
#15
Naoki Nakamura, Masaru Yamashita, Shoichi Matsunaga, Naoki Nakamura, Masaru Yamashita, Shoichi Matsunaga, Naoki Nakamura, Masaru Yamashita, Shoichi Matsunaga
We propose an improved approach for distinguishing between healthy subjects and patients with pulmonary emphysema by the use of one stochastic acoustic model for continuous adventitious sounds and another for discontinuous adventitious sounds. These models are able to represent the spectral features of the adventitious sounds for the detection of abnormal respiration. However, abnormal respiratory sounds with unclassifiable spectral features are present among the continuous and discontinuous adventitious sounds and mixing noises...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227202/snoring-sound-classification-from-respiratory-signal
#16
Mehrnaz Shokrollahi, Shumit Saha, Peyman Hadi, Frank Rudzicz, Azadeh Yadollahi, Mehrnaz Shokrollahi, Shumit Saha, Peyman Hadi, Frank Rudzicz, Azadeh Yadollahi, Frank Rudzicz, Mehrnaz Shokrollahi, Azadeh Yadollahi, Peyman Hadi, Shumit Saha
Snoring is common in the general population and the irregularity could lead to the presence of Obstructive sleep apnea. Diagnosis of OSA could therefore be made by snoring sound analysis. However, there is still a shortage of robust methods to automatically detect snoring sounds without the need to calibrate for every individual. In this paper, a novel method based on neural network is proposed to classify breathing sound episodes from snoring and non-snoring sound segments. Our snore detection algorithm was applied to the tracheal sounds of nine individuals with different OSA severities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226965/distinguishing-obstructive-from-central-sleep-apneas-and-hypopneas-using-linear-svm-and-acoustic-features
#17
Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Devin Packer, T Douglas Bradley, Hisham Alshaer, Richard Hummel
Sleep Apnea (SA) is a very common but underdiagnosed respiratory disorder. SA has 2 main types, obstructive and central sleep apnea (OSA and CSA, respectively). The distinction between the 2 types is important for proper clinical management. Our aim in this study was to deploy acoustic analysis of breath sounds to distinguish central from obstructive events. We recorded breath sounds from 29 patients from which 45 segments with obstructive only and 40 segments with central only respiratory events were isolated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226493/towards-an-unsupervised-device-for-the-diagnosis-of-childhood-pneumonia-in-low-resource-settings-automatic-segmentation-of-respiratory-sounds
#18
J Sola, F Braun, E Muntane, C Verjus, M Bertschi, F Hugon, S Manzano, M Benissa, A Gervaix, J Sola, F Braun, E Muntane, C Verjus, M Bertschi, F Hugon, S Manzano, M Benissa, A Gervaix, F Hugon, C Verjus, A Gervaix, S Manzano, M Bertschi, E Muntane, M Benissa, J Sola, F Braun
Pneumonia remains the worldwide leading cause of children mortality under the age of five, with every year 1.4 million deaths. Unfortunately, in low resource settings, very limited diagnostic support aids are provided to point-of-care practitioners. Current UNICEF/WHO case management algorithm relies on the use of a chronometer to manually count breath rates on pediatric patients: there is thus a major need for more sophisticated tools to diagnose pneumonia that increase sensitivity and specificity of breath-rate-based algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28212147/monitoring-hospitalized-adult-patients-for-opioid-induced-sedation-and-respiratory-depression
#19
Carla R Jungquist, Kirsten Smith, Kelly L Wiltse Nicely, Rosemary C Polomano
: Opioid analgesics are commonly administered to hospitalized patients to treat acute pain, but these drugs put patients at risk for serious adverse events, such as unintended advancing sedation, respiratory depression, and death. Nurses play an important role in keeping patients safe by making clinical decisions about the frequency and intensity with which patients receiving IV and epidural opioids should be monitored. To make sound clinical judgments, nurses must be aware of the factors that place patients at elevated risk for adverse opioid-related effects and know how to screen and assess patients for these risks...
March 2017: American Journal of Nursing
https://www.readbyqxmd.com/read/28187791/primary-mediastinal-large-b-cell-lymphoma-in-a-woman-who-is-human-immunodeficiency-virus-positive-presenting-with-superior-vena-cava-syndrome-a-case-report
#20
Pedro Pallangyo, Paulina Nicholaus, Frederick Lyimo, Elikaanany Urio, Peter Kisenge, Mohamed Janabi
BACKGROUND: The risk of non-Hodgkin lymphoma is increased 200-fold in individuals seropositive for human immunodeficiency virus compared to those free from human immunodeficiency virus. Human immunodeficiency virus-associated non-Hodgkin lymphoma is known for its atypical presentation, aggressive ability, widespread involvement, poor response to chemotherapy, and high relapse potential which makes both the diagnosis and management a difficult undertaking especially in resource-poor settings...
February 11, 2017: Journal of Medical Case Reports
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