• Title/Summary/Keyword: Abnormal Diagnosis

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Diagnosis and treatment of abnormal dental pain

  • Fukuda, Ken-ichi
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.16 no.1
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    • pp.1-8
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    • 2016
  • Most dental pain is caused by an organic problem such as dental caries, periodontitis, pulpitis, or trauma. Diagnosis and treatment of these symptoms are relatively straightforward. However, patients often also complain of abnormal dental pain that has a non-dental origin, whose diagnosis is challenging. Such abnormal dental pain can be categorized on the basis of its cause as referred pain, neuromodulatory pain, and neuropathic pain. When it is difficult to diagnose a patient's dental pain, these potential alternate causes should be considered. In this clinical review, we have presented a case of referred pain from the digastric muscle (Patient 1), of pulpectomized (Patient 2), and of pulpectomized pain (Patient 3) to illustrate referred, neuromodulatory, and neuropathic pain, respectively. The Patient 1 was advised muscle stretching and gentle massage of the trigger points, as well as pain relief using a nonsteroidal anti-inflammatory and the tricyclic antidepressant amitriptyline. The pain in Patient 2 was relieved completely by the tricyclic antidepressant amitriptyline. In Patient 3, the pain was controlled using either a continuous drip infusion of adenosine triphosphate or intravenous Mg2+ and lidocaine administered every 2 weeks. In each case of abnormal dental pain, the patient's diagnostic chart was used (Fig.2 and 3). Pain was satisfactorily relieved in all cases.

The Hurst Exponent of RR Intervals in MCG Heartbeat Time Series (MCG 시계열 신호에서 RR간격 분석)

  • Lee, Hyoung;Min, Joon-Young;Lee, In-Jung
    • Journal of Information Technology Applications and Management
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    • v.12 no.4
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    • pp.25-31
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    • 2005
  • We know that the Hurst Exponent (HE) is a real number in [0, 1] which denotes randomness of time series. in this research, we suggest non-linear analysis of human biological signals through HE. The feasibility of human biological signals using inductive incitement provides Some diagnosis for active treatment. In our experiment, we measured the heartbeat through the MCG, 29 healthy and 34 abnormal subjects ostensibly. The raw data of acupuncture incitement are supported by opinions of gross examination and pathological diagnosis. The mean values of HE are 0.345, 0.755 and 0.805 for the periods of before, during and after acupuncture treatment, respectively in case of abnormal subjects. On the other hand, the mean values, 0.808, 0.797 and 0.785 are for normal cases, correspondingly. From this data, we show that HE is very significant in abnormal controls according to an acupuncture incitement, and the incitement effect is evidently extracted in abnormal subjects. But, in normal subjects, the incitement effect is meaningless.

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Estimation of Visual Evoked Potentials Using Time-Frequency Analysis (시-주파수 분석법을 이용한 시각자극 유발전위에 관한 연구)

  • 홍석균;성홍모;윤영로;윤형로
    • Journal of Biomedical Engineering Research
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    • v.22 no.3
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    • pp.259-267
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    • 2001
  • The visual evoked potentials(VEPs) is used to assist in the diagnosis of specific disorders associated with involvement of the sensory visual pathways. The P100 latency is an important parameter which is diagnosis of optic nerve disorders. There are characteristics of latency delay, wave distortion, amplitude deduction in abnormal subjects. It is difficult to diagnose in the case of producing peak at the P100 latency. In this paper, difference of pattern between normal VEPs and abnormal VEPs using the Choi-Williams distribution method is studied. We observed the relationship about time and spectrum. The result shown that normal VEPs had maximum spectral value at 20Hz~26.7Hz and abnormal VEPs had maximum spectral value at 16.7Hz~20Hz. Also normal VEPs spectrum is higher than abnormal VEPs spectrum.

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Endoscopic features aiding the diagnosis of gastric mucosa-associated lymphoid tissue lymphoma

  • Park, Byung Sam;Lee, Si Hyung
    • Journal of Yeungnam Medical Science
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    • v.36 no.2
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    • pp.85-91
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    • 2019
  • The incidence of gastric mucosa-associated lymphoid tissue (MALT) lymphoma is increasing worldwide, but the diagnosis is difficult. Most patients are asymptomatic or complain of nonspecific gastrointestinal symptoms. As the endoscopic features of gastric MALT lymphoma are variable and nonspecific, the possibility of this condition may be overlooked during esophagogastroduodenoscopy, and it remain undiagnosed. Therefore, this condition needs to be considered when an abnormal mucosa is observed during this procedure. Biopsy performed during endoscopy is the primary diagnostic test, but false negative results are possible; large numbers of samples should be collected from both normal and abnormal mucosae. Endoscopic ultrasonography is useful to assess the depth of invasion and to predict the treatment response. After treatment, follow-up tests are required every 3 months until complete remission is achieved, and annually thereafter. Early diagnosis of gastric MALT lymphoma is difficult, and its diagnosis and follow-up require wide experience and competent endoscopic technique.

Abnormal state diagnosis model tolerant to noise in plant data

  • Shin, Ji Hyeon;Kim, Jae Min;Lee, Seung Jun
    • Nuclear Engineering and Technology
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    • v.53 no.4
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    • pp.1181-1188
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    • 2021
  • When abnormal events occur in a nuclear power plant, operators must conduct appropriate abnormal operating procedures. It is burdensome though for operators to choose the appropriate procedure considering the numerous main plant parameters and hundreds of alarms that should be judged in a short time. Recently, various research has applied deep-learning algorithms to support this problem by classifying each abnormal condition with high accuracy. Most of these models are trained with simulator data because of a lack of plant data for abnormal states, and as such, developed models may not have tolerance for plant data in actual situations. In this study, two approaches are investigated for a deep-learning model trained with simulator data to overcome the performance degradation caused by noise in actual plant data. First, a preprocessing method using several filters was employed to smooth the test data noise, and second, a data augmentation method was applied to increase the acceptability of the untrained data. Results of this study confirm that the combination of these two approaches can enable high model performance even in the presence of noisy data as in real plants.

Abnormality on Liver Function Test

  • Kang, Ki-Soo
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.16 no.4
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    • pp.225-232
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    • 2013
  • Children with abnormal liver function can often be seen in outpatient clinics or inpatients wards. Most of them have respiratory disease, or gastroenteritis by virus infection, accompanying fever. Occasionally, hepatitis by the viruses causing systemic infection may occur, and screening tests are required. In patients with jaundice, the tests for differential diagnosis and appropriate treatment are important. In the case of a child with hepatitis B virus infection vertically from a hepatitis B surface antigen positive mother, the importance of the recognition of immune clearance can't be overstressed, for the decision of time to begin treatment. Early diagnosis changes the fate of a child with Wilson disease. So, screening test for the disease should not be omitted. Non-alcoholic fatty liver disease, which is mainly discovered in obese children, is a new strong candidate triggering abnormal liver function. Muscular dystrophy is a representative disease mimicking liver dysfunction. Although muscular dystrophy is a progressive disorder, and early diagnosis can't change the fate of patients, it will be better to avoid parent's blame for delayed diagnosis.

On Definition of Dong(動) based on Literal Meaning, Literature written by Todo Yoshimasu and Case Reports (동(動)의 의미에 대한 고찰 - 사전적 의미, 문헌적 의미, 임상사례를 중심으로-)

  • Jeong, Seon-yeong
    • 대한상한금궤의학회지
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    • v.4 no.1
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    • pp.83-92
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    • 2012
  • Objective : The purpose of study is to define the term Dong(動) in diagnosis view. Method : To define term Dong(動), I refer to Korean, Chinese, Japanese dictionary and Todo Yoshimasu (吉益東洞)'s writing, Yakucho(藥徵) Houkyoku(方極). Next, I search for the diagnosis definition of Dong(動) in 11 case reports. Results : The diagnosis definitions of Dong(動) are two meanings. One is objective symptoms which are doctor can examine, trembling, movement, etc. The other is subjective symptoms which are patient's feeling, emotional problems, etc. It seperates 6 meanings concretely. Conclusions: (1) visible moving of a focus, (2) movement of a focus, (3) appearance of abnormal secretion, (4) abnormal change of focus, (5) feel like moving, (6) change of emotion beyond patient's control. 1~4 are objective symptoms which are doctor can examine, and 5~6 are subjective symptoms which are patient's feeling.

Abnormal Vibration Diagnosis of rotating Machinery Using Self-Organizing Feature Map (자기조직화 특징지도를 이용한 회전기계의 이상진동진단)

  • Seo, Sang-Yoon;Lim, Dong-Soo;Yang, Bo-Suk
    • 유체기계공업학회:학술대회논문집
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    • 1999.12a
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    • pp.317-323
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    • 1999
  • The necessity of diagnosis of the rotating machinery which is widely used in the industry is increasing. Many research has been conducted to manipulate field vibration signal data for diagnosing the fault of designated machinery. As the pattern recognition tool of that signal, neural network which use usually back-propagation algorithm was used in the diagnosis of rotating machinery. In this paper, self-organizing feature map(SOFM) which is unsupervised learning algorithm is used in the abnormal vibration diagnosis of rotating machinery and then learning vector quantization(LVQ) which is supervised teaming algorithm is used to improve the quality of the classifier decision regions.

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Condition Diagnosis of Air-conditioner Compressor by Waveform Analysis of AE Raw Signal (AE 원신호 파형분석에 의한 에어컨 컴프레서의 상태 진단)

  • 이감규;강익수;강명창;김정석
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.11
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    • pp.125-129
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    • 2004
  • For the diagnosis of compressor abnormal condition in air-conditioner, AE signal which is derived from wear condition, compressed air and assembly error is analyzed experimentally. The burst and continuous type AE signal occurred by metal contact and compressed air and AE raw signal of compressors were directly acquired in production line. After extracting samples according to waveforms, Early Life Test(ELT) is conducted and classified to normal and abnormal waveform. The efficient parameters of waveform pattern are investigated in time and frequency domain and the diagnosis algorithm of air-conditioner by Neural Network estimation is suggested.

Development of Vibration Diagnosis System for Rotating Machinery Onboard Ships (선내 회전장비의 이상진동 진단 시스템 개발)

  • 김극수;최수현;백일국
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.1067-1072
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    • 2001
  • In this study, the vibration diagnosis program for onboard machinery has been developed. The developed program includes signal monitoring module, system diagnosis module, and system modification module. The signal monitoring module is to monitor the vibration signal in time and frequency domains. And the system diagnosis module, which is developed by using Neural Network with error back propagation algorithm, can detect the abnormal symptom indicating the malfunction of the machinery onboard ships. The investigations of the developed system are presented through the experiment using Rotor Kit. Abnormal vibration signals are created by adding additional weight, manually misaligning the shaft, and loosening the bolts.

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