• Journal of Sensor Science and Technology
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• v.29 no.4
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• pp.249-254
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• 2020

It is difficult to control children who exhibit negative behavior in dental clinics. Various methods are used for preventing pediatric dental patients from being afraid and for eliminating the factors that cause psychological anxiety. However, when it is difficult to apply this routine behavioral control technique, sedation therapy is used to provide quality treatment. When the sleep anesthesia treatment is performed at the dentist's clinic, it is challenging to identify emergencies using the current breath detection method. When a dentist treats a patient that is under the influence of an anesthetic, the patient is unconscious and cannot immediately respond, even if the airway is blocked, which can cause unstable breathing or even death in severe cases. During emergencies, respiratory instability is not easily detected with first aid using conventional methods owing to time lag or noise from medical devices. Therefore, abnormal breathing needs to be evaluated in real-time using an intuitive method. In this paper, we propose a method for identifying abnormal breathing in real-time using an intuitive method. Respiration signals were measured using a 3M Littman electronic stethoscope when the patient's posture was supine. The characteristics of the signals were analyzed by applying the signal processing theory to distinguish abnormal breathing from normal breathing. By applying a short-time Fourier transform to the respiratory signals, the frequency range for each patient was found to be different, and the frequency of abnormal breathing was distributed across a broader range than that of normal breathing. From the wavelet transform, time-frequency information could be identified simultaneously, and the change in the amplitude with the time could also be determined. When the difference between the amplitude of normal breathing and abnormal breathing in the time domain was very large, abnormal breathing could be identified.

• Fire Science and Engineering
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• v.18 no.3
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• pp.95-102
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• 2004

This paper has analyzed compressed air-breathing that fire fighters use in Korea. And the local and the foreign standards for compressed air have been compared. Through the survey, it has been found that over 75% of all the respondents have ever had simple abnormal symptoms after wearing air respirators, and among the abnormal symptoms, nausea and headache are most frequent. Maintenance and exchange of compressor filters were poor and it can be another cause of abnormal symptom of fire fighters. Korea does'nt have any particular standards for compressed air-breathing, and the compressed air that is used by fire fighters is not different from air for industrial use. However, advanced countries like Europe, Canada and America, they have special standards for compressed air-breathing that fire fighters use. Through the analysis of components of the compressed air used in Korea, it has been found that all the samples have more water than the international standards.

• Journal of the korean academy of Pediatric Dentistry
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• v.46 no.1
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• pp.38-47
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• 2019

The most common cause of mouth breathing is obstacles caused by mechanical factors in upper airway. Mouth breathing could be consequently pathological cause of sleep-disordered breathing. Sleep-disordered breathing in children can cause growth disorders and behavioral disorders. The purpose of this study was to investigate relationship between upper airway and sleep-disordered breathing in children with mouth breathing. Twenty boys between 7 - 9 years old who reported to have mouth breathing in questionnaire were evaluated with clinical examination, questionnaires, lateral cephalometric radiographs, and portable sleep testing. This study assessed apnea-hypopnea index (AHI) and oxygen desaturation index (ODI) for the evaluation of sleep-disordered breathing and was done to investigate the correlation between these values and the upper airway width measured by lateral cephalometric radiographs. There was no significant correlation with the size of the tonsils (p = 0.921), but the adenoid hypertrophy was higher in the abnormal group than in the normal group (p = 0.008). In the classification according to AHI and ODI, retropalatal and retroglossal distance showed a statistically significant decrease in the abnormal group compared to the normal group (p = 0.002, p = 0.001). As AHI and ODI increased, upper airway width tended to be narrower. This indicates that mouth breathing could affect the upper airway, which is related to sleep quality.

• Journal of Sensor Science and Technology
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• v.14 no.6
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• pp.415-422
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• 2005

Using stretch sensors, a stuttering treatment training device that improve the abnormal breathing of stutterer was designed and developed. To improve stutterer's inadequate breathing method that is one of principal reason of stammering, the device estimates breathing method by checking the changes of the stretch sensor's resistances those are put on the chest and abdomen of user. And a vocal exercise program that carry out exercises only when the user maintains the abdominal breathing was designed. Using a PIC16C711 device that includes an A/D convertor, a main controller was designed and the vocal exercises software was developed using Director and C program with graphic user interface for user convenience. The controller sends the resistance data of sensors to PC through the serial port and the software verifies the breathing method. And the device was designed that the RTS (request to send) pin of serial port in PC is used as a power source so that it can work without any battery or other power source. Three stutterers have carried out the clinical experiments using the implemented device for two months and the results showed it was excellent to alleviate the stuttering.

• Korean Journal of Radiology
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• v.20 no.1
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• pp.50-57
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• 2019

In pediatric thoracic CT, respiratory motion is generally treated as a motion artifact degrading the image quality. Conversely, respiratory motion in the thorax can be used to answer important clinical questions, that cannot be assessed adequately via conventional static thoracic CT, by utilizing four-dimensional (4D) CT. However, clinical experiences of 4D thoracic CT are quite limited. In order to use 4D thoracic CT properly, imagers should understand imaging techniques, radiation dose optimization methods, and normal as well as typical abnormal imaging appearances. In this article, the imaging techniques of pediatric thoracic 4D CT are reviewed with an emphasis on radiation dose. In addition, several clinical applications of pediatric 4D thoracic CT are addressed in various thoracic functional abnormalities, including upper airway obstruction, tracheobronchomalacia, pulmonary air trapping, abnormal diaphragmatic motion, and tumor invasion. One may further explore the clinical usefulness of 4D thoracic CT in free-breathing children, which can enrich one's clinical practice.

• Journal of International Academy of Physical Therapy Research
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• v.10 no.2
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• pp.1750-1755
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• 2019

Background: Most of the previous researches on the abnormality of breathing pattern have focused on the silence of functional movements owing to such abnormality, however, have not been clearly identified the relationship between the abnormal breathing pattern on one hand and kinesiophobia and flexion relaxation phenomenon (FRP) on the other hand. Objective: To compare patients with chronic low back pain (CLBP) and healthy person in the abnormality of breathing pattern, kinesiophobia, and FRP during flexion and extension of the trunk. Design: Case-control study. Methods: The research subjects consisted of a group of 15 healthy adults and another group of 15 patients with CLBP. Capnography was used to measure the endtidal $CO_2$ ($EtCO_2$) and respiratory quotient (RQ). The muscle activity of multifidus and erector spinae of the subjects was measured during flexion and extension of the trunk to identify their FRP. The Nijmegen Questionnaire (NQ) and Tampa Scale of Kinesiophobia (TSK) were utilized to measure their breathing patterns and kinesiophobia, respectively. The Kolmogorov-Smirnov (K-S) test was conducted in order to analyze the normal distribution of the measured data. Their general characteristics were identified by the descriptive statistics and the independent t-test was performed to identify the differences between the two groups in terms of abnormality of breathing pattern, kinesiophobia, and FRP. The level of significance was set at ${\alpha}=.05$. Results: The patients with CLBP had significantly less $EtCO_2$ and shorter breathing hold time (BHT) than normal healthy person (p<.05). The patient with CLBP also had significantly greater kinesiophobia than healthy person (p<.05), and had less FRP than the healthy person (p<.01). Conclusions: These results suggest that the CLBP had greater abnormality of breathing pattern and kinesiophobia with less FRP than healthy person.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.99-107
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• 2023

Objective : To investigate the effects of thorax mobility exercises on thorax mobility, breathing pattern, and respiratory capacity in subjects with restricted thorax mobility. Methods : Thirteen subjects with restricted thorax mobility participated in this study. Measurement of thorax circumference using a tape measure (difference between inhalation and exhalation), breathing pattern (distance of rib cage elevation during breathing), and respiratory capacity was performed. Paired t-test was used to compare the thorax mobility, breathing pattern, and respiratory capacity between before and after thorax mobility excercise. Statiscal significance was set at .05. Results : There were significant differences in thorax mobility and breathing pattern, but no significant difference in respiratory capacity (p < .05). Conclusion : Based on the results of this study, thorax mobility exercise using the rib mobilization technique is considered to be a method that can improve thorax mobility and normalize abnormal breathing patterns that cause rib cage elevation.

• Sleep Medicine and Psychophysiology
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• v.18 no.2
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• pp.63-66
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• 2011

It has been controversial whether upper airway resistance syndrome (UARS) is a distinct syndrome or not since it was reported in 1993. The International Classification of Sleep Disorders classified UARS under obstructive sleep apnea syndrome (OSAS) in 2005. UARS can be diagnosed when the apnea-hypopnea index (AHI) is fewer than 5 events per hour, the simultaneously calculated respiratory disturbance index (RDI) is more than 5 events per hour due to abnormal non-apneic non-hypopneic respiratory events accompanying respiratory effort related arousals (RERAs), and oxygen saturation is greater than 92% at termination of an abnormal breathing event. Although esophageal pressure measurement remains the gold standard for detecting subtle breathing abnormality other than hypopnea and apnea, nasal pressure transducer has been most commonly used. RERAs include phase A2 of cyclical alternating patterns (CAPs) associated with EEG changes. Symptoms of OSAS can overlap with UARS, but chronic insomnia tends to be more common in UARS than in OSAS and clinical symptoms similar with functional somatic syndrome are also more common in UARS. In this journal, diagnostic and clinical differences between UARS and OSAS are reviewed.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1999.11a
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• pp.339-342
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• 1999

The equation of output voltage from the PVDF was derived. When impact force applied to the PVDF films of cantilever beam and one-end fixed, other-end supported beam structure, output voltage equation induced. Experimental output voltages by falling ball agreed quite well with induced theoretical data. This PVDF film showers to be in high possibility in a warning system of abnormal pulse rate and breathing, and in detecting impact force and/or mechanical energy.

• MALSORI
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• no.49
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• pp.135-144
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• 2004

In this paper, we make a study of classification normal from abnormal - normal, asthma through analysis of thoracic sound to take use thoracic sound detection system. Thoracic sound detection system has a function to store thoracic sound and analyze the data. The wave shape of thoracic sound is similar to noise and is systematically generated by inhalation and exhalation breathing, therefore, in this paper, to classify asthma sound in thoracic sound, we could discriminate between normal and abnormal case using level crossing rate(LCR) and spectrogram energy rate.