• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.439-441
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• 2021

The number of bedsores patients is increasing every year due to the aging society, and the importance of bedsores management is emerging as a burden on nurses due to the pandemic situation of COVID-19. Curses are a disease that causes ulcers due to floating posture, and it is a disease that is burdensome for nurses to periodically change their body position. Therefore, this study proposes a system that can reduce the burden on nurses by detecting the risk of inducing bedsores and monitoring the status of calls in real time. Through this system, it will be possible to increase nursing work by solving the difficulties of nursing in the bedsores of nurses.

• CELLMED
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• v.13 no.12
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• pp.45.1-45.5
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• 2023

Objective: A case report on the improvement of dementia by Ortho-Cellular Nutrition Therapy. Methods: A Korean woman in her 80s was suffering from dementia. Results: Dementia improved after being treated with OCNT. Conclusion: OCNT may help alleviate symptoms of dementia.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.619-625
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• 2023

In this paper, the remote care of medical beds with multiple body pressure sensors is described. Falling is one of the factors that seriously threaten the safety of patients and harm their health. In this study, a new bed was developed to overcome this. The bed system consists of a keyboard that can operate, a keyboard controller that manages the movement of the keyboard, a sensor that measures body pressure, a sensor controller that transmits and receives sensor values, a main controller that checks it and operates automatically or manually according to the algorithm, and a server that oversees all these information. The bed system checks the patient's location through a sensor and wirelessly alerts the server through the main controller when the patient determines that there is a risk of falling, so that the nurse or nurse can recognize the patient's dangerous condition. The server may receive state data transmitted from the wired/wireless terminal to monitor whether the bed system is operating normally. The controller of the keyboard operates a keyboard-type mechanism and automatically controls the prevention of bedsores connected by body pressure sensors to physically separate the area to which the patient's pressure is applied to prevent bedsores. The main controller checks the presence of the patient's bed and transmits it to the server. In conclusion, the proposed system can smart monitor the user's state and perform remote care.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.25 no.1
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• pp.67-77
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• 2018

Purpose: The purpose of this study was to compare the efficiency of general ward nurses in hospitals using Data Envelopment Analysis (DEA). Methods: Participants were 30 nurses working at a general ward. Input variables were labor cost and time of direct nursing. Output variables were prevention rate of medication error and bedsores, and patient satisfaction. These variables were extracted using literature review and CVI of an expert group. Data were collected from September 18 to October 7, 2017. Data were analyzed using EMS 3.1 program for DEA and descriptive statistics. Results: The average efficiency score of 30 nurses was 0.986, which was very high over all. In the super-efficiency analysis of 11 nurses, their efficiency ranged from 1.0 to 1.047. In addition, when the current output was fixed, the labor cost of nurses did not affect efficiency. Conclusion: This study attempted a new approach concerning performance evaluation of nurses using DEA. This method was useful during appraisal of nurses. We suggest that various input and output variables that were not considered in this study should be added to develop a integrative performance analysis model for nurses.

• Journal of Korean Academy of Nursing
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• v.43 no.2
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• pp.287-295
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• 2013

Purpose: The purpose of this study was to identify vancomycin-resistant enterococcus (VRE) colonization rate in patients admitted to the intensive care unit (ICU), associated risk factors and clinical outcomes for VRE colonization. Methods: Of the 7,703 patients admitted to the ICUs between January, 2008 and December, 2010, medical records of 554 VRE colonized and 503 uncolonized patients were reviewed retrospectively. To analyzed the impact of colonization on patients' clinical outcomes, 199 VRE colonized patients were matched with 199 uncolonized patients using a propensity score matching method. Results: During the study period, 567 (7.2%) of the 7,703 patients were colonized with VRE. Multivariate analysis identified the following independent risk factors for VRE colonization: use of antibiotics (odds ratio [OR]=3.33), having bedsores (OR=2.92), having invasive devices (OR=2.29), methicillin-resistant Staphylococcus aureus co-colonization (OR=1.84), and previous hospitalization (OR=1.74). VRE colonized patients were more likely to have infectious diseases than uncolonized patients. VRE colonization was associated with prolonged hospitalization and higher mortality. Conclusion: Strict infection control program including preemptive isolation for high-risk group may be helpful. Further research needs to be done to investigate the effects of active surveillance program on the incidence of colonization or infection with VRE in the ICU.

• The Journal of Korea Robotics Society
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• v.15 no.3
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• pp.269-276
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• 2020

As we become an aging society, the number of elderly patients continues to increase. Pressure sores that can easily occur in patients with trauma cause serious socio-economic problems. In general, prevention of bedsores through predicting the patient's posture is being developed. Developed method usually use artificial intelligence techniques to estimate the patient's posture by measured pressure images in the mattress. In this method, it has a problem the reduction of estimation accuracy when posture of patient is changed. Therefore, it is necessary to use the filter of pressure images in the position transition of patient. In this paper, we propose an algorithm to predict the patient's posture, and an algorithm to reduce the ambiguity that can occur in the patient's posture transition section. By obtaining stable data through this algorithm, learning/prediction stability of the neural network can be expected, and prediction performance is improved accordingly. Through experiments, the effectiveness of the algorithm was verified.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.1-7
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• 2022

The number of patients with many complications grows with the increase of aging population. As the elders and severely ill patients spend most of their time in bed, it leads to Pressure Injuries (PI) such as bedsores. Unfortunately, there is no method to automatically detect changes in patient's posture which leads to the need for a caregiver every set of times when the patient needs to be moved. Many studies are conducted to solve this inefficient problem. Yet, these studies require costly devices or use methods that disturb patient's sleeping environment. Those methods are mostly hard to implement in practice due to these reasons. We propose a method to detect posture using a three-axis acceleration sensor from the wrist band. We developed a wearable watch that measures sleep-related data. We analyzed 40 people's sleep data with a wearable module and watch to measure their postures such as supine, left-side, and right-side. Then, we compared the classified posture from the watch with the wearable module and achieved 90% accuracy. Therefore, we concluded that only by using the wearable watch, we can detect the sleeping position without any new equipment or system to diagnose the patients without discomfort during their daily lives.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.402-409
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• 2019

Patients with dementia or elderly patients who can not move at all by themselves are at a high risk of falls and bedsore due to lack of caregivers. In this paper, to solve this problem, we propose an algorithm to determine the patient's lying postures by discriminating the main body parts such as head, shoulders, and hips based on the pressure intensity sensed at regular intervals. A smart mat with a lattice structure in which a pressure sensor is arranged so that the body part can be discriminated irrespective of the physical characteristics has been implemented. It consists of two modules of $7{\times}7$ array size. Each module consists of 49 FSR-406 sensors and independently senses pressure. For each module, the body part corresponding to the upper body or the lower body is sequentially discriminated by using a pressure distribution such as a cumulative pressure sum using a filter. The proposed algorithm can identify five lying positions by examining the inclusion relationship between body parts belonging to layer-1 such as head, shoulder, and hip area.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.89-95
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• 2021

Pressure sores are an unresolved human challenge. In this study, a keyboard-type medical bed was developed and a body pressure sensor was installed to provide a method to control the keyboard so that the pressure sores do not reach the critical pressure. For this, a keyboard-type mattress using a 4bar link is developed, and a method of controlling the height adjustment of the keyboard within the critical pressure through a body pressure sensor is used. There is a feeling of discomfort in the body when the keyboard is raised and lowered from pressure sores, which is an important factor: pressure x time, and only time control is performed, but if the proposed method is used, pressure is controlled within the critical pressure, thereby preventing bedsores in a comfortable state. The effectiveness and validity of the developed medical bed system were verified through theories and experiments.

• Research in Community and Public Health Nursing
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• v.9 no.2
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• pp.280-290
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• 1998

This study was carried out to idenify the health problems and needs of crippled persons in order to develop a community based rehabilitation service program through public health center. Information on health problems and needs were obtained from 120 crippled persons staying at home by questionaire and a measuring ADL. The results were summarized as follows 1. Among 120 subjects, male crippled (70.3%) outnumbered female crippled (29.7%). Many crippled persons belonged to the 40-49 age group (33.6%) while others were over 60 years (17.4%). There were 36.8% crippled persons with an elementary education, 26.5% had completed high school, 14.5% had completed middle school. 31% of the crippled persons were employed but most of them had unskilled jobs. 80% of the respondents replied that their monthly income was under 800,000 won. 2. The major causes of their handicap were due to acquired factors(92%) such as accidents, in fectious & communicable diseases and chronic diseases rather than congenital factors(8%). Crippled persons who belong to the first grade of disabilities were 14.8%, the second grade 35.7%, the third grade 21.7%, the forth grade 12.2%, the fifth grade 12.2% and the sixth grade 3.5%. 3. This study measured the degree of the ADL of crippled persons by a modified Barthel Index including 11 items. 73.5% of them were fully independent, 8.5% required minimal help, 2.7% required moderate help, 6.0% required substantial help and 9.4% were unable to perform task. In response to the 11 items of ADL, crippled persons required more help in stair climbing, ambulation and bathing than in other items. 4. In responding to concerning health problems, 10.3% of the subjects replied with incontinence, 8.5% malnutrition, 7.6% fecal incontinence and bedsores 2.6%. Chronic diseases which needs treatment were chronic pain(61.0 %), hypertension(16.5%) and diabetes(16.5%) 5. To the question of what type of rehabilitation services subjects required, chronic diseases management(52.1%) and physical therapy (41.2%) were the highest. The most important social welfare services subjects required were economics support (51.3%) and introductions to job opportunities(42%).