• Title/Summary/Keyword: onset time

Search Result 1,302, Processing Time 0.024 seconds

Effects of the Abbreviated Cognitive Behavioral Therapy for Chronic Insomniacs (만성불면증 환자에게 적용한 단기 인지행동중재의 효과)

  • Choi, Su-Jung;Yi, Young-Hee
    • Journal of Korean Critical Care Nursing
    • /
    • v.1 no.1
    • /
    • pp.19-31
    • /
    • 2008
  • Purpose: This study was conducted to exam the effects of the Abbreviated Cognitive Behavioral Therapy(ACBT) on chronic insomnia. Methods: Study was one-group interrupted time series study that involved 13 adults(mean age=51.7, aged 25-77 years) with chronic primary insomnia who visited sleep disorder clinic of S Hospital from November 2004 to October 2005. The subjects received 2-session individual ACBT with 2 week-interval($1^{st}$: 1.5- 2hrs, $2^{nd}$: 20-30min). To measure the subjective insomnia severity and sleep patterns, 3 times of insomnia severity index and sleep logs were completed(before ACBT, after ACBT, and 3-month after ACBT). The main outcomes were subjective insomnia severity and sleep patterns(sleep onset latency, waking after sleep onset, and total sleep time, sleep efficiency). The data were analyzed with SPSS 10.0 version program by Friedman test, Wilcoxon signed rank test with Bonferroni correction. Results: There were statistically significant decrease in insomnia severity index, sleep onset latency, and waking after sleep onset, and increase total sleep time and sleep efficiency. Conclusion: ACBT was effective in reducing subjective insomnia severity and improving sleep patterns. Sleep improvement was better sustained over time with ACBT.

  • PDF

Muscle Stiffness based Intent Recognition Method for Controlling Wearable Robot (착용형 로봇을 제어하기 위한 근경도 기반의 의도 인식 방법)

  • Yuna Choi;Junsik Kim;Daehun Lee;Youngjin Choi
    • The Journal of Korea Robotics Society
    • /
    • v.18 no.4
    • /
    • pp.496-504
    • /
    • 2023
  • This paper recognizes the motion intention of the wearer using a muscle stiffness sensor and proposes a control system for a wearable robot based on this. The proposed system recognizes the onset time of the motion using sensor data, determines the assistance mode, and provides assistive torque to the hip flexion/extension motion of the wearer through the generated reference trajectory according to the determined mode. The onset time of motion was detected using the CUSUM algorithm from the muscle stiffness sensor, and by comparing the detection results of the onset time with the EMG sensor and IMU, it verified its applicability as an input device for recognizing the intention of the wearer before motion. In addition, the stability of the proposed method was confirmed by comparing the results detected according to the walking speed of two subjects (1 male and 1 female). Based on these results, the assistance mode (gait assistance mode and muscle strengthening mode) was determined based on the detection results of onset time, and a reference trajectory was generated through cubic spline interpolation according to the determined assistance mode. And, the practicality of the proposed system was also confirmed by applying it to an actual wearable robot.

Design of Disease Prediction Algorithm Applying Machine Learning Time Series Prediction

  • Hye-Kyeong Ko
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.16 no.3
    • /
    • pp.321-328
    • /
    • 2024
  • This paper designs a disease prediction algorithm to diagnose migraine among the types of diseases in advance by learning algorithms using machine learning-based time series analysis. This study utilizes patient data statistics, such as electroencephalogram activity, to design a prediction algorithm to determine the onset signals of migraine symptoms, so that patients can efficiently predict and manage their disease. The results of the study evaluate how accurate the proposed prediction algorithm is in predicting migraine and how quickly it can predict the onset of migraine for disease prevention purposes. In this paper, a machine learning algorithm is used to analyze time series of data indicators used for migraine identification. We designed an algorithm that can efficiently predict and manage patients' diseases by quickly determining the onset signaling symptoms of disease development using existing patient data as input. The experimental results show that the proposed prediction algorithm can accurately predict the occurrence of migraine using machine learning algorithms.

Asymmetric effects of speaking rate on the vowel/consonant ratio conditioned by coda voicing in English

  • Ko, Eon-Suk
    • Phonetics and Speech Sciences
    • /
    • v.10 no.2
    • /
    • pp.45-50
    • /
    • 2018
  • The vowel/consonant ratio is a well-known cue for the voicing of postvocalic consonants. This study investigates how this ratio changes as a function of speaking rate. Seven speakers of North American English read sentences containing target monosyllabic words that contrasted in coda voicing at three different speaking rates. Duration measures were taken for the voice onset time (VOT) of the onset consonant, the vowel, and the coda. The results show that the durations of the onset VOT and vowel are longer before voiced codas, and that the durations of all segments increase monotonically as speaking rate decreases. Importantly, the vowel/consonant ratio, a primary acoustic cue for coda voicing, was found to pattern asymmetrically for voiced and voiceless codas; it increases for voiced codas but decreases for voiceless codas with the decrease in speaking rate. This finding suggests that there is no stable ratio in the duration of preconsonantal vowels that is maintained in different speaking styles.

Comparison of Forensic Demographic Characteristics, Interpersonal Problems, and Personality Disorders between Early and Late Onset Criminal Patients with Schizophrenia (범법 조현병 환자에서 발병연령에 따른 범죄인구특성과 대인관계문제 및 성격장애의 차이)

  • Cha, Seung Min;Choi, Jong Hyuk;Lee, Mi-Ji;Chee, Ik-Seung
    • Journal of the Korean society of biological therapies in psychiatry
    • /
    • v.24 no.3
    • /
    • pp.202-208
    • /
    • 2018
  • Objectives : The purpose of this study was to investigate the differences in forensic demographic characteristics, interpersonal problems and personality disorder between early and late onset criminal patients with schizophrenia. Methods : The participants included 187 inpatients with schizophrenia who had committed crimes. They filled out the Korean Inventory of Interpersonal Problem Personality Disorder Scales and Psychopathic Personality Inventory-Revised. They were divided into early onset group and late onset group according to onset age of schizophrenia at 26 years old(under 26 versus 26 and older) and forensic demographic characteristics, interpersonal problem and personality disorders including psychopathy were compared between two groups. Results : There were no differences in gender, education years and family history between the two groups. Early onset group was associated with lower age, earlier onset of age and earlier age at the time of the crime. Duration from onset to diagnosis was not different between the two groups. Duration from onset to crime and after diagnosis to crime was shorter in late onset group. There were no differences between the two groups in the interpersonal problems, personality disorder and psychopathic personality evaluation. Conclusion : These results suggested that there may be forensic demographic differences related to crime between early and later onset schizophrenia. Psychiatrists should consider the age at onset of schizophrenia when assessing the risk of violence in patients with schizophrenia. In the future. it will be needed other study of age classification such as admixture analysis.

Relationship between Circadian Variation in Ictus of Aneurysmal Subarachnoid Hemorrhage and Physical Activity

  • Lee, Jong Min;Jung, Na Young;Kim, Min Soo;Park, Eun Suk;Park, Jun Bum;Sim, Hong Bo;Lyo, In Uk;Kwon, Soon Chan
    • Journal of Korean Neurosurgical Society
    • /
    • v.62 no.5
    • /
    • pp.519-525
    • /
    • 2019
  • Objective : The circadian pattern of the onset time of aneurysmal subarachnoid hemorrhage (aSAH) has been reported by various authors. However, the effect of the degree of physical exertion on the circadian pattern has not been studied in detail. Therefore, we conducted this study to investigate the effect of physical exertion on the circadian pattern of aSAH. Methods : Of the 335 patients presenting with aSAH from January 2012 to December 2017, 234 patients with identifiable onset time and metabolic equivalent (MET) values were enrolled. The onset time of aSAH was divided into 4-hour intervals. The patient's physical exertion was then assessed on a scale between 1 and 8 METs using generally accepted MET values, and categorized into two groups-light exertion (1 to 4 METs) and moderate to heavy exertion (5 to 8 METs)-to determine the effect of the degree of physical exertion on the onset time distribution of aSAH. Multivariate analysis was used to calculate the odds ratio (OR) between the two groups to determine the effect of the degree of physical exertion on each set of time periods. Results : There was a definite bimodal onset pattern that peaked at 08:00-12:00 hours followed by 16:00-20:00 hours (p<0.001). MET values at all time intervals were found to be significantly higher than the night time (00:00-04:00 hours) values (p<0.031). The MET value distribution showed a unimodal pattern that slightly differed from the bimodal distribution of the onset time of aSAH. There were no significant differences in the ORs of each time interval according to the degree of the MET value. Conclusion : This study reaffirmed that aSAH occurs in a bimodal pattern, especially showing the highest prevalence in the morning. Although aSAH could be related to daily activity, there were no significant changes in diurnal variations affected by the degree of physical exertion.

Impact of an Early Hospital Arrival on Treatment Outcomes in Acute Ischemic Stroke Patients (급성 뇌경색 환자의 증상 발현 후 응급실 도착까지의 시간이 치료 결과에 미치는 영향)

  • Kwon, Young-Dae;Yoon, Sung-Sang;Chang, Hye-Jung
    • Journal of Preventive Medicine and Public Health
    • /
    • v.40 no.2
    • /
    • pp.130-136
    • /
    • 2007
  • Objectives : Recent educational efforts have concentrated on patient's early hospital arrival after symptom onset. The purpose of this study was to evaluate the time interval between symptom onset and hospital arrival and to investigate its relation with clinical outcomes for patients with acute ischemic stroke. Methods : A prospective registry of patients with signs or symptoms of acute ischemic stroke, admitted to the OO Medical Center through emergency room, was established from September 2003 to December 2004. The interval between symptom onset and hospital arrival was recorded for each eligible patient and analyzed together with clinical characteristics, medication type, severity of neurologic deficits, and functional outcomes. Results : Based on the data of 256 patients, the median interval between symptom onset and hospital arrival was 13 hours, and 22% of patients were admitted to the hospital within 3 hours after symptom onset. Patients of not-mild initial severity and functional status showed significant differences between arrival hours of 0-3 and later than 3 in terms of their functional outcomes on discharge. Logistic regression models also showed that arrival within 3 hours was a significant factor influencing functional outcome (OR=5.6; 95% CI=2.1, 15.0), in addition to patient's initial severity, old age, cardioembolism subtype, and referral to another hospital. Conclusions : The time interval between symptom onset and hospital arrival significantly influenced treatment outcome for patients with acute ischemic stroke, even after controlling for other significant clinical characteristics. The findings provided initiatives for early hospital arrival of patients and improvement of emergency medical system.

Pre- and In-Hospital Delay in Treatment and in-Hospital Mortality after Acute Myocardial Infarction

  • An, Kyuneh;Koh, Bongyeun
    • Journal of Korean Academy of Nursing
    • /
    • v.33 no.8
    • /
    • pp.1153-1160
    • /
    • 2003
  • Purpose. 1) To identify the time taken from symptom onset to the arrival at the hospital (pre-hospital delay time) and time taken from the arrival at the hospital to the initiation of the major treatment (in-hospital delay time) 2) to examine whether rapid treatment results in lower mortality. 3) to examine whether the pre- and in-hospital delay time can independently predict in-hospital mortality. Methods. A retrospective study with 586 consecutive AMI patients was conducted. Results. Pre-hospital delay time was 5.25 (SD=10.36), and in-hospital delay time was 1.10 (SD=1.00) hours for the thrombolytic therapy and 50.24 (SD=121.18) hours for the percutaneous transluminal coronary angio-plasty (PTCA). In-hospital mortality was the highest when the patients were treated between 4 to 48 hours after symptom onset using PTCA (p=.02), and when treated between 30 minutes and one hour after hospital arrival using thrombolytics (p=.01). Using a hierarchical logistic regression model, the pre- and in-hospital delay times did not predict the in-hospital mortality. Conclusion. Pre- and in-hospital delay times need to be decreased to meet the desirable therapeutic time window. Thrombolytics should be given within 30 minutes after arrival at the hospital, and PTCA should be initiated within 4 hours after symptom onset to minimize in-hospital mortality of AMI patients.

A Study to Estimate the Onset Time of an Impulsive Borehole Source (임펄시브형 시추공용 탄성파 송신신호 시작시간 측정에 관한 연구)

  • Lee, Doo-Sung
    • Geophysics and Geophysical Exploration
    • /
    • v.6 no.2
    • /
    • pp.71-76
    • /
    • 2003
  • Accurate estimation of the first arrival travel time is an essential task to obtain a high resolution velocity tomogram. Accuracy of the travel time estimation may be influenced by two factors; geological and mechanical. A serious mechanical factor is the source firing control problems. We found the control problems in the records generated by tome impulsive borehole sources. The problems are; irregular firing control and uncertainty in estimation of the absolute firing-times shown in records. Definitely, the time difference will introduce an error to the first arrival times, and accordingly; it will cause some distortion in the resulting velocity tomogram. A method to determine the firing time is suggested here. The method determines the optimum onset time by comparing the horizontal and the NMO velocity with various amount of delay time adjustment.

Glottal Area and Voice Onset Time

  • Kim, Dae-Won
    • MALSORI
    • /
    • no.15_18
    • /
    • pp.19-34
    • /
    • 1989
  • There is general agreement that voice onset time (VOT) is functionally related with the glottal opening at the moment of the oral release of a stop. However, systematic investigations of tempo 8n4 the place of articulation as affecting the glottal opening and VOT have relatively neglected. Various instrumental techniques were used to verify the claim with BrEng and korean speakers, under controlled experimental conditions, tempo being one of them. It was found that voiceless aspiration (i.e. VOT) is not simply a function of the glottal area at the moment of the oral release of a stop as it is normally defined in the existing literature. Within a given place of articulation and across temper VOT was generally insignificantly related to the glottal area. It is inferred that the glottal adduction onset time for the following vowel is actively control led by the speaker to meet aerodynamic requirements in relation to class (i.e. aspirated and unaspirated) and tempo. Some possible underlying physiological mechanisms for various phonetic aspects of intervocalic stops, associated with the glottal area and VOT, were discussed.

  • PDF