• Title/Summary/Keyword: Medical accidents.

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Characteristics of Burn Types, Causes, and Treatment in Hospitalized Female Patients with Industrial Injuries (화상으로 입원한 여성 근로자의 화상유형 및 발생원인, 치료적 특성)

  • Kim, Ji-Na;Kang, Hee Sun
    • Korean Journal of Occupational Health Nursing
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    • v.25 no.2
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    • pp.85-95
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    • 2016
  • Purpose: The purpose of this study was to examine the burn characteristics of female patients hospitalized in a burn center. Methods: This is a retrospective descriptive study. The subjects were 222 female patients aged over 19 years old having burn injuries from work sites between January 1, 2012 and December 31, 2014. Data were collected using electronic medical records about the burn-related characteristics. The data were analyzed descriptively. Results: Many of the subjects were in their forties and fifties. Most subjects showed burns with an area of less than 10% of the body surface with a severity of second degree. Scalding burns were the most frequent. Contact burns were usually of third-degree severity and occurred on hands and wrists. Flame burns affected the largest body surface area and frequently occurred on the face and mainly caused by explosion of a stove or kitchen gas. Chemical burns frequently occurred on the lower limbs. Conclusion: Female workers are exposed to the hazards of burn injuries in industrial accidents. Types of burn differ depending on the workplace conditions. Therefore, preventative measures for burn injuries should be established in accordance with the characteristics of each industry to which female workers belong.

Machine Learning based Speech Disorder Detection System (기계학습 기반의 장애 음성 검출 시스템)

  • Jung, Junyoung;Kim, Gibak
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.253-256
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    • 2017
  • This paper deals with the implementation of speech disorder detection system based on machine learning classification. Problems with speech are a common early symptom of a stroke or other brain injuries. Therefore, detection of speech disorder may lead to correction and fast medical treatment of strokes or cerebrovascular accidents. The speech disorder system can be implemented by extracting features from the input speech and classifying the features using machine learning algorithms. Ten machine learning algorithms with various scaling methods were used to discriminate speech disorder from normal speech. The detection system was evaluated by the TORGO database which contains dysarthric speech collected from speakers with either cerebral palsy or amyotrophic lateral sclerosis.

Development of a Control Strategy for a Multifunctional Myoelectric Prosthesis

  • Kim Seung-Jae;Choi Hwasoon;Youm Youngil
    • Journal of Biomedical Engineering Research
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    • v.26 no.4
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    • pp.243-249
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    • 2005
  • The number of people who have lost limbs due to amputation has increased due to various accidents and diseases. Numerous attempts have been made to provide these people with prosthetic devices. These devices are often controlled using myoelectric signals. Although the success of fitting myoelectric signals (EMG) for single device control is apparent, extension of this control to more than one device has been difficult. The lack of success can be attributed to inadequate multifunctional control strategies. Therefore, the objective of this study was to develop multifunctional myoelectric control strategies that can generate a number of output control signals. We demonstrated the feasibility of a neural network classification control method that could generate 12 functions using three EMG channels. The results of evaluating this control strategy suggested that the neural network pattern classification method could be a potential control method to support reliability and convenience in operation. In order to make this artificial neural network control technique a successful control scheme for each amputee who may have different conditions, more investigation of a careful selection of the number of EMG channels, pre-determined contractile motions, and feature values that are estimated from the EMG signals is needed.

Survey on Health Care and Household Safety Management for Vulnerable Children (취약계층 영유아의 건강과 안전관리 실태조사)

  • Nam, Hye Kyung
    • Journal of muscle and joint health
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    • v.21 no.3
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    • pp.246-254
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    • 2014
  • Purpose: This study aims to provide baseline data on children's health care and household safety management in one region and to support implementation of customized visiting health care services for children. Methods: 51 children and their caregivers from socially vulnerable group and 69 children and their caregivers from general group are selected as research participants. Data were collected through home visiting survey by 10 professional nurses. Results: Children from socially vulnerable group are at higher risks of poor health care and safety accidents in households than general group. Rates of taking developmental screening tests, medical check-up remain considerably low in vulnerable social group. Regarding home safety, vulnerable children are more likely to be exposed to unsafe conditions. Conclusion: These results indicate that in order to promote health care and safety conditions for vulnerable children, it is necessary to implement customized visiting health care programs which actually can reach vulnerable households and meet their demands. These findings can be used as baseline data to develop customized visiting health care programs for children.

Evaluation of the Efficiency of General Nursing Units using Data Envelopment Analysis (DEA) (일 종합병원 병동 간호단위의 간호효율성 평가-자료포락분석의 적용)

  • Lee, Soo-Youn;Lim, Ji-Young
    • Journal of Home Health Care Nursing
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    • v.18 no.2
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    • pp.118-125
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    • 2011
  • Purpose: The aim of this study was to evaluate the efficiency of nursing units in a hospital using DEA. Methods: Data were collected using the medical information system of a general hospital in a city. Input variables were number of nurses, number of nurse-aides, number of beds, and overhead costs. Output variables included number of admitted patients, rate of bed utilization, satisfaction of discharged patients, and prevention rate of safety accidents and sores. EMS Window version 3.1 was used to measure the efficiency score and descriptive statistics were applied to analyze the general characteristics of variables. Results: The average efficiency score of 18 general nursing units was approximately .99. Nine nursing units had a 1.00 efficiency score. Conclusion: Our findings reveal that nursing units operated very efficiently. To increase efficiency of inefficient nursing units, we recommend results of the DEA slack analysis as a benchmark of the most efficient nursing unit.

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A Study on Work Sectors of the Private Investigator Service (민간조사제도의 업무영역 연구)

  • Park, Ok-Cheol;Kim, Rag-Ki
    • Journal of the Society of Disaster Information
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    • v.7 no.3
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    • pp.229-239
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    • 2011
  • The private investigator service in Korea is to protect our legal market from personal right, creation of job, legal opening via OECD and FTA as well as the prevention of negative private investigation such as service center and private investigator operated without any control. Therefore, this study compares the civil research systems of advanced countries, reviews the legal process to introduce private investigator service as well as considers the previous studies to suggest the work sectors of private investigator service appropriate to Korea. As a result, it distinguished the private investigation work into corporate, finance, insurance, medical service, Cyber, traffic accidents, intellectual property right, lost and forensic science.

Sound System Analysis for Health Smart Home

  • CASTELLI Eric;ISTRATE Dan;NGUYEN Cong-Phuong
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.237-243
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    • 2004
  • A multichannel smart sound sensor capable to detect and identify sound events in noisy conditions is presented in this paper. Sound information extraction is a complex task and the main difficulty consists is the extraction of high­level information from an one-dimensional signal. The input of smart sound sensor is composed of data collected by 5 microphones and its output data is sent through a network. For a real time working purpose, the sound analysis is divided in three steps: sound event detection for each sound channel, fusion between simultaneously events and sound identification. The event detection module find impulsive signals in the noise and extracts them from the signal flow. Our smart sensor must be capable to identify impulsive signals but also speech presence too, in a noisy environment. The classification module is launched in a parallel task on the channel chosen by data fusion process. It looks to identify the event sound between seven predefined sound classes and uses a Gaussian Mixture Model (GMM) method. Mel Frequency Cepstral Coefficients are used in combination with new ones like zero crossing rate, centroid and roll-off point. This smart sound sensor is a part of a medical telemonitoring project with the aim of detecting serious accidents.

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Status of Occupational Health Management in Some Small-Scale-Industries (일부 소규모 사업장의 산업보건 실태)

  • Hwang, Moon Jeong
    • Korean Journal of Occupational Health Nursing
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    • v.8 no.2
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    • pp.169-175
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    • 1999
  • The study was purposed to know the status of health management in small-scale-industries which have less than 50 employees. A total of 330 small-scale-industries were surveyed by nurses and industrial-hygienists who were affiliated with industrial health care agency from January, 1993 to December, 1994. The contents of survey include status of work environment, occupational accident and its disease availability, protective evice, health education and settlements. The results were as follows: 1. The number of industrial accidents(death, injury arid occup. disease) in 1994 was 83 which was reduced from that of the 1993 which was 126. 2. As a result of the measurement of work environment the excessive ratio of permitted criteria was reduced to 20.6% in 1994 from 264% in 1993, and the improvement ratio of work environment was increased to 39.5% in 1994 from 29.7% in 1993. 3. The contents of health education at work place were as follows: general disease(25.4%), work environment(20.2%), protective device(16.7%), disease prevension(14.2%), occupational disease(85%), and health promotion(8.3%). 4. In terms of industrial safty and prevention of occupational disease, only 10.6% was satisfactory or excellent, and the 89.4% was poor, inadequate or required reexamination.

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A Case of Metallic Foreign Body in Maxillary Sinus (장기간 체류된 상악동 금속이물 1례)

  • Jung Dae-Gun;Lee Dong-Mok;Kim Myung-Won;Park So-Young;Kim Byung-Guk
    • Korean Journal of Bronchoesophagology
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    • v.10 no.1 s.19
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    • pp.55-57
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    • 2004
  • On occasion there were reports of foreign body of paranasal sinuses. Most common site is the maxillary sinus. But it is very rare to experience a long-term foreign body in maxillary sinus. There are two types of maxillary foreign bodies according to etiology, one is caused by various traumatic accidents, and the other is iatrogenic cause which mainly retaining gauze or medical instruments after sinus operation or teeth extraction. We experienced an interesting case of over fifty yews resided metal foreign body in maxillary sinus caused sinusitis, and report with a brief literature review.

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Perspective on Bioterrorism in the United States (미국의 생물테러대책에 관한 고찰)

  • Kang, Young-gil;Kwon, Jeong- hoon
    • Journal of the Society of Disaster Information
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    • v.5 no.1
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    • pp.10-27
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    • 2009
  • The fear briefly became reality in the U.S. after 9/11, as man-made anthrax spores were found in letters and in east coast post offices on a number of occasions. Anthrax attacks must be related to the terrorist attacks of September 11. These two accidents changed the situation completely. Characteristics are summarized as belows. First, it is necessary for all countries to create each own appropriate countermeasures against bioterrorism. In addition, it is urgent to consider countermeasures focusing on bioterror characteristics that terrorists may use biological agents because they can be extremely difficult to detect and do not cause illness for several hours to several days. Otherwise, those attacks will also show the panic and very real danger posed by the release of such toxins on an unsuspecting public. Second, it is crucial to manage the result thoroughly. A biological weapon is useful to a terrorist group mainly as a method of creating mass panic and disruption to a society. Because it is not easy to predict and collect information about how terrorists utilize pathogenic microbe as well as terror measures in their activities, more realistic approach should be taken to reduce damage. Third, to expand investment in research and development is necessary. Considering advances in microbiology and genetic engineering lately, it is likely that new pathogenic microbe would be created by the enemy. For that matter, it is imperative that medical countermeasures should be devised.

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