• 제목/요약/키워드: sleep delay

검색결과 75건 처리시간 0.036초

급성 뇌졸중 의심 환자의 병원 전 지연 원인 분석 (An analysis of the causes of prehospital delays in patients with suspected acute stroke)

  • 이남진;문준동
    • 한국응급구조학회지
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    • 제24권2호
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    • pp.27-38
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    • 2020
  • Purpose: Stroke is a time-sensitive disease that could have reduced complications and mortality with timely diagnosis and treatment. This study aimed to analyze the causes of delay in detecting the clinical signs and symptoms of stroke. Methods: This retrospective observational study analyzed the emergency medical services reports of suspected stroke patients with positive predictive values on the Cincinnati Prehospital Stroke Scale. The study was conducted in Daejeon, Republic of Korea from January 1, 2016 through December 31, 2017. Results: Prolonged prehospital time was associated with high blood pressure, history of cerebrovascular disease, and incidences during daily activities, and sleep. High blood pressure and complications from a previous stroke strongly associated with the prolonged stroke-detection phase (p<.05). Total prehospital time was shortened when patients had evident stroke symptoms, such as decreased level of consciousness, dysarthria, and hemiplegia (p<.05). There was no significant difference in gender or age as a factor that delayed the total prehospital time of the suspected stroke patients. Conclusion: Many patients did not recognize the early clinical symptoms and signs of a stroke. Furthermore, risk factors, such as high blood pressure and history of stroke, prolonged the total prehospital time. Therefore, we need targeted interventions that educate about warning symptoms of stroke, along with emphasis on the importance of emergency calls to substantially reduce the prehospital delays.

저전력 대기를 사용하는 OBS 망에서 에너지 절감을 위한 상태 천이 결정 알고리즘 (Transition Decision Algorithm for Energy Saving in OBS Network with LPI)

  • 강동기;양원혁;이기범;김영천
    • 한국통신학회논문지
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    • 제37권5B호
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    • pp.317-326
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    • 2012
  • 미래의 에너지 소비 문제를 해결하기 위하여 Green IT 에 대한 관심이 높아짐에 따라 네트워크 장치에서 발생하는 에너지 소비 문제를 해결하기 위한 연구가 활발히 진행되고 있다. 에너지 절감을 위하여 네트워크 장치는 저전력 대기 (Low Power Idle) 를 사용할 수 있다. 본 논문에서는 OBS 망에서 에너지 절감 효율을 높이기 위한 저전력 대기 적용에 관한 연구를 수행하였다. 기존의 저전력 대기와 관련된 많은 연구들은 에너지 절감을 위해 수면 시간을 최대화시키는 것에만 관심을 기울여 왔다. 그러나 장치 상태 변경 시 발생하는 상태 천이 오버헤드 (Transition overhead)는 저전력 대기의 에너지 절감율을 낮출 뿐 아니라 패킷 지연 시간을 증가시킴으로써 망의 QoS 를 하락시킬 수 있다. 따라서 본 논문에서는 저전력 대기에서 발생하는 불필요한 상태 천이 횟수를 감소시킴으로써 에너지 절감율 및 QoS 를 향상시킬 수 있는 상태 천이 결정 알고리즘 (Transition Decision algorithm)을 제안한다. 제안한 상태 천이 결정 알고리즘의 성능을 분석하기 위하여 OPNET 을 이용하여 OBS에지 라우터를 모델링하고 시뮬레이션을 수행하여 다양한 평가 지표를 기반으로 성능을 분석한다.

무선 센서 네트워크에서 최소파워구성 방법을 이용한 선택적 웨이트 컨트롤 알고리즘 (Selective weight control using minimum power configuration in wireless Sensor Network)

  • 박도욱;김종권
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (D)
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    • pp.677-680
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    • 2006
  • 이 논문은 무선 센서 네트워크에서 최소 파워 구성 방법을 이용하여 에너지를 효율적으로 사용하면서 네트워크의 수명을 늘리고 지연(delay)을 줄이는 방안을 제시한다. 지금까지 에너지를 효율적으로 사용하기 위해 topology control, power-aware routing, sleep management 방법을 각각 독립적으로 연구되었는데 최소파워 구성은 위의 3가지 방법을 통합 최적화하여 에너지 효율적 사용 문제에 접근한다. 이러한 최소파워 구성 방법을 이용하여 선택적 웨이트 컨트롤(Selective weight control) 알고리즘을 제안하여 네트워크 전체 수명을 연장시키고 지연을 줄일 수 있다. 이 알고리즘은 각 노드가 주기적으로 잔류에너지를 인접노드들과 공유하여 에너지 랭크(rank)값을 유지한 상태에서 최소 에너지 경로를 사용하면서 에너지가 주위 노드들보다 작아질 때는 에너지가 많은 노드가 경로에 포함이 되도록 하여 특정 노드가 에너지 고갈되지 않고 네트워크내의 각 노드가 고르게 에너지를 소모하게 한다.

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An Iterative Analysis of Single-Hop B-MAC Networks Under Poisson Traffic

  • Jung, Sung-Hwan;Choi, Nak-Jung;Kwon, Tae-Kyoung
    • Journal of Communications and Networks
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    • 제14권1호
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    • pp.40-50
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    • 2012
  • The Berkeley-medium access control (B-MAC) is a lightweight, configurable and asynchronous duty cycle medium access control (MAC) protocol in wireless sensor networks. This article presents an analytic modelling of single-hop B-MAC protocol under a Poisson traffic assumption.Our model considers important B-MAC parameters such as the sleep cycle, the two stage backoff mechanism, and the extended preamble. The service delay of an arriving packet and the energy consumption are calculated by an iterative method. The simulation results verify that the proposed analytic model can accurately estimate the performance of single-hop B-MAC with different operating environments.

무선 센서네트워크에서 비동기식 MAC 프로토콜의 성능분석을 위한 분석적 모델 (Analytic Model for Performance Evaluation of Asynchronous MAC Protocol in Wireless Sensor Networks)

  • 정성환;권태경
    • 대한산업공학회지
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    • 제35권4호
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    • pp.248-256
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    • 2009
  • In this paper, under saturated traffic condition in a single-hop wireless sensor network, we present an analytic model that evaluates the performance of asynchronous MAC protocol which uses a preamble technique. Our model considers the impact of several important factors such as sleep cycle, the backoff mechanism and the number of contending nodes. After obtaining the cumulative backoff time of a sending node and expected delay of a receiving node, an iterative algorithm is presented for calculating the performance measures such as expected energy consumption usage per packet and latency. Simulation results show that the proposed analytic model can accurately estimate the performance measures under saturated traffic conditions.

자율군집 IoT 플랫폼기반 실시간 생체신호 스트리밍 서비스 설계 (Design of Real time Vital Signal Streaming Service Based on Self-Organizing Internet of Things Platform)

  • 김현호;손태용;강순주
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제23권7호
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    • pp.434-439
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    • 2017
  • 수면장애로 고통을 받고 있는 사람들은 꾸준히 증가하고 있으며, 다양한 수면장애 원인이 존재한다. 따라서 수면장애를 겪고 있는 사람들에게 수면장애 원인을 진단하거나 수면상태 모니터링을 도와주는 수면 관련 헬스케어 산업이 각광받고 있다. 하지만 현재 서비스들은 모든 데이터를 원격지 서버로 전송해 서버에서 모든 것을 처리하는 단순 원격진료 서비스이기 때문에 데이터 집중현상에 취약하고, 원격지 피보호자의 다양한 생체 데이터를 동기화시켜 실시간으로 스트리밍하지 못한다는 단점이 있다. 이 문제를 해결하기 위해, 중앙 서버가 없는 자율군집형 분산 미들웨어 플랫폼을 이용하여 피보호자의 생체 데이터를 실시간으로 병원 혹은 보호자에게 스트리밍하는 서비스 구조를 제안한다. 제안하는 서비스 플랫폼의 기능 검증을 위해 스트리밍 요청에 따른 서비스 시작 소요시간과 평균 지연시간을 평가하고, 효과적인 스트리밍 서비스의 제공이 가능함을 확인하였다.

운동이 치매 환자의 수면 관련 인자, 치매 관련 인자에 미치는 영향 (Effects of Exercise on Sleep Quality and Dementia-related Factors of Dementia Patients)

  • 윤병곤;김종진;곽이섭
    • 생명과학회지
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    • 제29권6호
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    • pp.740-746
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    • 2019
  • 운동은 치매에 긍정적인 영향을 줄 수 있다고 잘 알려져 있다. 그러나 대부분의 치매 관련 연구에서는 치매의 증상 완화, 치매에 관한 다양한 치료 및 약물 치료에 대한 연구가 대부분이었다. 규칙적인 운동은 뇌 기능과 치매예방에 중요한 역할을 하지만, 치매와 뇌 기능에 대한 운동의 효과를 나타내는 연구는 부족한 실정이다. 본 연구에서는 운동이 수면 관련 인자(melatonin, serotonin), 치매 관련 인자(BDNF, beta-amyloid, IGF-1, Irisin, GLUT)에 미치는 영향에 대해 연구하고자 한다. 본 연구는 Myokine (Irisin, IGF-1), GLUT 및 Melatonin이 지구성 운동을 통한 BDNF 활성화를 통해 치매 증상을 개선하거나 지연시키는 중요한 인자라는 것을 밝혀냈다. 그러나 이러한 결과는 다양한 종류의 운동 유형, 형태, 기간 및 운동 강도 등에 따라 다른 결과가 나타나서 논란의 여지가 있다. 그러므로 추후 운동과 치매에 관한 기전적인 연구분석이 필요하다.

임상 간호사의 교대근무 기간이 circadian rhythm 변화에 미치는 영향 (Effect of Shift Interval for the Clinical Nurse on the Circadian Rhythm)

  • 황애란;정현숙;임영신;이혜원;김조자
    • 대한간호학회지
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    • 제21권2호
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    • pp.129-149
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    • 1991
  • Circadian rhythm is entrained in the 24-hour time interval by periodic factors in the environment, known as zeitgeber. But most rotating work schedules are outside the range of the entrainment of the pacemaker timing the human circadian sleep - wake cycle. It has been postulated that physiological and emotional disturbances occur in most human functions when the circadian rhythm is disturbed. So application of circadian principles to the design of shift schedules can aid in maintaining the temporal integrity of the circadian system and thereby minimize for the shift worker any detrimental consequences of circadian disruption. This study was a quasi-experimental study to test the effect of shift intervals for the clinical nurse on the circadian rhythm. Twenty nurses newly employed in general units of two hospitals were selected as an experimental group and twelve college nursing students as a control group. Both groups were selected according to an established criteria using a purposive sampling technique. Ten subjects were assigned to a weekly shift group and another ten to a biweekly shift group engaged in a semi -continuous shift schedule(sunday off) with a backward direction, that is, morning -evening - night shift. The control group worked a morning shift for 42 days. Oral temperature rhythm, waking tim, sleep - wake cycle, fatigue, and mental performance were measured during the experimental period. The data collection period was from April 30, 1990 to June 10, 1990. MANOVA, paired t-test, ANOVA, and Student Newman Keuls method were used for statistical analysis. The results are summarized as follows. 1. Phase delay in the acrophase of temperature rhythm was shown according to the backward rotating shift. A complete adaptation to work on the night shift was achieved between the sixth and ninth day of the night shift. 2. There was no difference in either waking time or sleep- wake cycle according to the duration of the working day for every shift group. Significant difference was found in the waking time and the sleep -wake cycle for subjects on the morning, evening, and night shift in both of the shift groups(weekly shift group : λ=0.121, p<0.01, λ=0.112, p<0.01, biweekly shift group : λ=0.116, p<0.01, λ=0.084, p<0.01). 3. There was no difference in fatigue between the first working day and the last working day for the control group and for the biweekly shift group. In the weekly shift group, physical fatigue was significantly different for the first day and the sixth day of the night shift(t=-2.28, p<0.05). Physical fatigue and total fatigue on the first day of the night shift showed a significant difference among the control group, the weekly shift group, and the biweekly shift group(F=5.79, p<0.01, F=4.56, p<0.05). There was a significant difference between the shift groups and the control group(p<0.05), Physical fatigue, neurosensory fatigue and total fatigue on the last day of the night shift showed a significant difference among the control group, the weekly shift group, and the biweekly shift group(F=12.65, p<0.01, F=7.77, p<0.01, F=9.68, p<0.01). There was a significant difference between the shift groups and the control group(p<0.05). 4. No difference in mental performance was seen between the first day and the last day of work in each case. An arithmatic test on the first day of the night shift revealed a significant difference among the control group, the weekly shift group, and the biweekly shift group(F=3.79, p<0.05). There was a significant difference between the shift groups and the control group(p<0.05) . The digital symbol substitution test and the arithmetic test on the last day of the night shift showed a significant difference among the control group, the weekly shift group, and the biweekly shift group(F=3.68, p<0.05, F=5.55, p<0.01), and both showed a significant difference between the shift groups and the control group(p<0.05). Accordingly, this study showed that during night duty, the waking time, sleep- wake cycle, and fatigue increased and mental performance decreased compared with morning and evening duty. It was also found that the weekly shift group had a higher fatigue score on the sixth day of night duty as compared to the -first day, but the waking time, sleep- wake cycle, and mental performance revealed no difference for the duration of the night duty or between shift groups, and complete adaptation of temperature rhythm was achieved between the sixth and ninth day of night duty. It is possible to conclude from these results that for intermediate circadian type in a healthy young woman, a biweekly shift system is more compatible with the circadian timing system than weekly shift system.

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Analysis of Energy Consumption and Sleeping Protocols in PHY-MAC for UWB Networks

  • Khan, M.A.;Parvez, A.Al;Hoque, M.E.;An, Xizhi;Kwak, Kyung-Sup
    • 한국통신학회논문지
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    • 제31권12B호
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    • pp.1028-1036
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    • 2006
  • Energy conservation is an important issue in wireless networks, especially for self-organized, low power, low data-rate impulse-radio ultra-wideband (IR-UWB) networks, where every node is a battery-driven device. To conserve energy, it is necessary to turn node into sleep state when no data exist. This paper addresses the energy consumption analysis of Direct-Sequence (DS) versus Time-Hopping (TH) multiple accesses and two kinds of sleeping protocols (slotted and unslotted) in PHY-MAC for Un networks. We introduce an analytical model for energy consumption or a node in both TH and DS multiple accesses and evaluate the energy consumption comparison between them and also the performance of the proposed sleeping protocols. Simulation results show that the energy consumption per packet of DS case is less than TH case and for slotted sleeping is less than that of unslotted one for bursty load case, but with respect to the load access delay unslotted one consumes less energy, that maximize node lifetime.

Power Saving Scheme by Distinguishing Traffic Patterns for Event-Driven IoT Applications

  • Luan, Shenji;Bao, Jianrong;Liu, Chao;Li, Jie;Zhu, Deqing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1123-1140
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    • 2019
  • Many Internet of Things (IoT) applications involving bursty traffic have emerged recently with event detection. A power management scheme qualified for uplink bursty traffic (PM-UBT) is proposed by distinguishing between bursty and general uplink traffic patterns in the IEEE 802.11 standard to balance energy consumption and uplink latency, especially for stations with limited power and constrained buffer size. The proposed PM-UBT allows a station to transmit an uplink bursty frame immediately regardless of the state. Only when the sleep timer expires can the station send uplink general traffic and receive all downlink frames from the access point. The optimization problem (OP) for PM-UBT is power consumption minimization under a constrained buffer size at the station. This OP can be solved effectively by the bisection method, which demonstrates a performance similar to that of exhaustive search but with less computational complexity. Simulation results show that when the frame arrival rate in a station is between 5 and 100 frame/second, PM-UBT can save approximately 5 mW to 30 mW of power compared with an existing power management scheme. Therefore, the proposed power management strategy can be used efficiently for delay-intolerant uplink traffic in event-driven IoT applications, such as health status monitoring and environmental surveillance.