• Journal of Biomedical Engineering Research
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• v.36 no.5
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• pp.143-149
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• 2015

In this paper, we proposed a novel method for automatic detection for snoring and heart beat using a single piezoelectric sensor. For this study multi-rate signal processing technique was applied to detect snoring and heart beat from the single source signal. The sound event duration and intensity features were used to snore detection and heart beat was found by autocorrelation. The performance of the proposed method was evaluated on clinical database, which is the nocturnal piezoelectric snoring data of 30 patients that suffered obstructive sleep apnea. The method achieved sensitivity of 88.6%, specificity of 96.1% with accuracy of 95.6% for snoring and sensitivity of 94.1% and positive predictive value of 87.6% for heart beat, respectively. These results suggest that the proposed method can be a useful tool in sleep monitoring and sleep disordered breathing diagnosis.

• The Journal of the Convergence on Culture Technology
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• v.1 no.4
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• pp.107-111
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• 2015

Humans must restore tired bodies and minds during sleep. Sleep as much as eating a meal many people looking for a hospital can not sleep, but a matter of course. The smart phone is loaded in the most recent studies it has been conducted to provide a service to the patient or medical personnel U-healthcare in the field of smart phone-based medical applications as with a variety of sensors, including an acceleration sensor. In this paper, the aim of providing an Android-based applications to use a variety of sensors incorporated in the popularity of smart phones to induce normal water flow to recognize the user's action.

• Journal of Dental Anesthesia and Pain Medicine
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• v.17 no.1
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• pp.71-76
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• 2017

Drug-induced sleep endoscopy (DISE) is used to identify areas of upper airway obstruction, which occurs when patients with obstructive sleep apnea (OSA) snore. DISE enables effective diagnosis and appropriate treatment of the obstruction site. Among surgical treatment methods for OSA, maxillomandibular advancement surgery (MMA) is performed to move a jaw forward; the surgery has a high success rate for OSA treatment. In DISE, anesthetics such as propofol and midazolam must be administered to induce snoring while the patient is deeply sedated for an accurate diagnosis to be made. When inducing deep sedation in a patient with OSA, airway obstruction may increase, causing oxygen saturation to drop; airway interventions are necessary in such cases. Effective DISE and MMA surgery can be performed by administering propofol through target-controlled infusion while monitoring the bispectral index (BIS).

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.119-129
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• 2023

Sleep apnea causes various secondary disease such as hypertension, stroke, myocardial infarction, depression and cognitive impairment. Early detection and continuous management of sleep apnea are urgently needed since it causes cardio-cerebrovascular diseases. In this study, wearable device for monitoring respiration during sleep using PVDF film was developed to detect vibration through trachea caused by breathing, which determines normal breathing and sleep apnea. Variables such as respiration rate and apnea were extracted based on the detected breathing sound data, and a noise reduction algorithm was established to minimize the effect even when there is a noise signal. In addition, it was confirmed that irregular breathing patterns can be analyzed by establishing a moving threshold algorithm. The results show that the accuracy of the respiratory rate from the developed device was 98.7% comparing with the polysomnogrphy result. Accuracy of detection for sleep apnea event was 92.6% and that of the sleep apnea duration was 94.0%. The results of this study will be of great help to the management of sleep disorders and confirmation of treatment by commercialization of wearable devices that can monitor sleep information easily and accurately at home during daily life and confirm the progress of treatment.

• Anxiety and mood
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• v.9 no.2
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• pp.128-134
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• 2013

Objective : As treatments for breast cancer require long period of time, the patients need continuous monitoring and management of their health related quality of life. The purpose of this preliminary study is to explore the utility of monitoring quality of life using a mobile phone based application, which was developed to enable the patients to report daily quality of life more efficiently. Methods : Department of psychiatry, breast cancer center and U-health team of Asan Medical Center collaborated in developing a mobile application titled 'DugunDugun'. Through the application, patients with breast cancer receiving neo-adjuvant chemotherapy could report on various questions about their daily quality of life. We extracted and explored the daily basis of the data of sleep duration, number of awake, sleep satisfaction, mood and anxiety from nine patients who reported on the questionnaire for more than a month. Results : The longitudinal data collected using our mobile application well represented the characteristics of individual sleep patterns and daily emotional changes. Most of the patients showed high daily variations in the scores of their quality of life while their averaged scores were similar among patients. The patient with highest daily variations in the subjective sleep quality and daily emotional change had highest score corresponding to moderate depression in Beck Depression Inventory (BDI). Conclusion : The results suggest that mobile application could be a useful tool for monitoring and collecting the daily quality of life in the patients with breast cancer. We expect that mobile application could facilitate early detection and proper intervention for the cancer patients at psychological crisis.

• Journal of the korean academy of Pediatric Dentistry
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• v.49 no.4
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• pp.357-367
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• 2022

Sleep disordered breathing (SDB) is a disease characterized by repeated hypopnea and apnea during sleep due to complete or partial obstruction of upper airway. The prevalence of pediatric SDB is approximately 12 - 15%, and the most common age group is preschool children aged 3 - 5 years. Children show more varied presentations, from snoring and frequent arousals to enuresis and hyperactivity. The main cause of pediatric SDB is obstruction of the upper airway related to enlarged tonsils and adenoids. If SDB is left untreated, it can cause complications such as learning difficulties, cognitive impairment, behavioral problems, cardiovascular disease, metabolic syndrome, and poor growth. Pediatric dentists are in a special position to identify children at risk for SDB. Pediatric dentists recognize clinical features related to SDB, and they should screen for SDB by using the pediatric sleep questionnaire (PSQ), lateral cephalometry radiograph, and portable sleep monitoring test and refer to sleep specialists. As a therapeutic approach, maxillary arch expansion treatment, mandible advancement device, and lingual frenectomy can be performed. Pediatric dentists should recognize that prolonged mouth breathing, lower tongue posture, and ankyloglossia can cause abnormal facial skeletal growth patterns and sleep problems. Pediatric dentists should be able to prevent these problems through early intervention.

• Smart Structures and Systems
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• v.30 no.5
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• pp.433-446
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• 2022

Despite efforts to reduce unexpected accidents at confined construction sites, choking accidents continue to occur. Because of the poorly ventilated atmosphere, particularly in long, confined underground spaces, workers are subject to dangerous working conditions despite the use of artificial ventilation. Moreover, the traditional monitoring methods of using portable gas detectors place safety inspectors in direct contact with hazardous conditions. In this study, a long-range (LoRa)-based wireless safety monitoring system that features the network organization, fault-tolerant, power management, and a graphical user interface (GUI) was developed for underground construction sites. The LoRa wireless data communication system was adopted to detect hazardous gases and oxygen deficiency within a confined underground space with adjustable communication range and low power consumption. Fault tolerance based on the mapping information of the entire wireless sensor network was particularly implemented to ensure the reliable operation of the monitoring system. Moreover, a sleep mode was implemented for the efficient power management. The GUI was also developed to control the entire safety-monitoring system and to manage the measured data. The developed safety-monitoring system was validated in an indoor testing and at two full-scale water pipeline construction sites.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.101-112
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• 2009

The purpose of this study is to find out the preference and the needs of old womens on the life support appliances i.e. medication dispenser, video phone, activity monitor and sleep monitor. The appliances may be improved reflecting the result of the questionnaire asking about the preferred functions and designs. The respondents were 141 female seniors of 65 years and older, living in Ulsan city or Cheongju city, Korea. Following is the list of results. (1) The medication dispenser, responded as highly preferred, met some worries over the troubles by power stoppage especially while one is out, letting her forget the medication time. (2) The video phone was worried over the cases of hearing failure by small sound, and watching failure by weakening sight. (3) The activity monitor, like the medication dispenser, was worried about the troubles while one is out or out of the monitoring scope, its expense, and the privacy, (4) The sleep monitor met the worries over the inadequacy for the sleeping mat on the floor and the emission of electromagnetic waves. (5) The preferred designs were (1) white or red standing medication dispenser, (2) wall-mounted video phone working by voice, (3) metal activity monitor sensor with white or yellow bracelet.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.3
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• pp.136-142
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• 2014

Distinct features in heart rate signals during the driver's wake and sleep states could provide an initiative for the development of a safe driving systems such as drowsiness detecting sensor in a smart wheel. We measured ECG from health subjects ($23.5{\pm}2.5$ in age) during the wake and drowsiness states. The proposed method is able to detect R waves and R-R interval calculation in the ECG even when the signal includes in abnormal signals. Heart rate variability(HRV) was investigated for the time domain and frequency domains. The STD HR(0.029), NN50(0.044) and VLF power(0.0018) of the RR interval series of the subjects were significantly different from those of the control group (p < 0.05). In conclusion, there are changes in heart rate from wake to drowsiness that are potentially to be detected. The results in our study could be useful for the development of drowsiness detection sensors for effective real-time monitoring.

• Korean Journal of Occupational Health Nursing
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• v.28 no.2
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• pp.94-103
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• 2019

Purpose: This study aimed to investigate variables affecting health-related quality of life of manufacturing industry workers. Methods: We used data from 200 survey questionnaires collected from a vehicle manufacture factory located in Ulsan metropolitan area. The participants were manufacturing workers. The data were analyzed using t-test, one-way analysis of variance, and $Scheff{\acute{e}}^{\prime}s$ test to identify differences among variables. Pearson's correlation coefficient and stepwise multiple regression were used to identify variables that affected health-related quality of life. Results: The findings revealed that occupational stress and quality of sleep were statistically significant variables of the physical component score with an explanatory power of 42.2%. Occupational stress, depression, and religion were statistically significant variables of the mental component score with an explanatory power of 43.3%. Conclusion: Continuous monitoring and appropriate intervention for occupational stress, quality of sleep, and depression are needed to improve manufacturing workers' health-related quality of life.