• 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.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.51-59
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• 2020

This study aimed to examine whether needs for scaling are associated with health behaviors in a representative sample of middle-aged Korean people. We examined 5120 individuals aged 40 to 64 years who participated in the Seventh Korea National Health and Nutrition Examination Survey. Multivariate logistic regression analysis was performed with adjustments for demographic variables and health status. This analysis revealed significant associations between needs for scaling and the following: current smoking, no visits to dental clinics, current drinking, non-oral checkups, and non-use of oral care products. As a result of a subgroup analysis, significant factors differed according to gender. As a result of this study, needs for scaling were associated with identified health behaviors and findings about health behaviors that are effective for maintaining and promoting periodontal health in middle-aged people were confirmed.