• 산업경영시스템학회지
• /
• 제38권3호
• /
• pp.14-20
• /
• 2015

It is important to understand psychological and physiological responses of occupants who seated in a chair in order to shape a comfortable indoor official environment. So it is needed to find out optimal seated conditions. The purpose of this study was to explore optimal condition of seat air conditioning control based on psychological or subjective responses (perceived temperature and comfort sensation) and physiological responses (heartrate variability; HRV). To do this, experimental conditions were designed by the difference of indoor temperature and seat air conditioning temperature. In the experiment 1, seven experimental conditions were designed with one control condition which was not used seat air conditioning system, and six experimental conditions which the difference of indoor temperature and seat air conditioning temperature ($-1^{\circ}C{\sim}-6^{\circ}C$). In the experiment 2, four experimental conditions were designed with one control condition and three experimental conditions ($-3^{\circ}C{\sim}-5^{\circ}C$). In addition, participants' psychological or subjective response was measured by CSV (comfort sensation vote) and PTS (perceived temperature sensitivity) as a psychological or subjective response, and heartrate variability was measured as a physiological response. As a result, in the experiment 1, it was reported that the optimal conditions of seat air conditioning control based on participants' psychological or subjective comfort were from $-3^{\circ}C$ to $-5^{\circ}C$ experimental conditions. In addition, in the experiment 2, it was reported that the optimal condition of seat air conditioning control based on participants' physiological comfort was $-4^{\circ}C$ experimental condition. These results suggested that seat air conditioning could affected to comfort sensation of occupants in an appropriate range, rather than unconditionally.

• 융합신호처리학회논문지
• /
• 제1권1호
• /
• pp.15-22
• /
• 2000

선형 자귀회귀(AR) 모델을 근거로한 심박변동의 파워 스펙트럼 해석은 비침습적으로 자율신경의 반응을 정량화 하는데 폭넓게 사용된다. 본 연구는 짧은 데이터 저장(2분 미만)의 심전도와 맥파 신호의 심박변동에 대한 파워스펙트럼밀도을 추정한다 심박변동의 시계열은 정상인을 대상으로 검출한 심전도와 맥파신호의 특징점 사이의 시간간격(RRI, PPI)으로부터 구하였다. 발생된 시계열은 다항식 보간법에 의해 AR모델에 적합하게 새로운 시계열로 재구성하였다 AR모델에 의한 파워스펙트럼 밀도는 Burg 알고리즘을 사용하여 계산하였다 AR 모델을 적용한 단 구간의 심전도와 맥파의 심박변동에 대한 파워스펙트럼밀도는 저주파수와 고주파수 영역에서 매끄러운 스펙트럼 파워를 나타내고 있다. 또한 통일한 피험자의 심전도와 맥파의 파워스펙트럼밀도를 비교한 결과 유사한 모양을 나타내었다.

• 한국정보통신학회논문지
• /
• 제18권8호
• /
• pp.2008-2016
• /
• 2014

최근 건강관리 및 심장질환 관리 등에 대한 관심이 증가하면서 유비쿼터스 헬스케어 서비스와 관련 기기에 대한 개발이 활발히 이루어지고 있다. 본 논문에서는 패치형 심전도 측정기기와 연동된 스마트폰으로 구성된 모바일 헬스케어 시스템을 개발하였다. 본 시스템은 실시간으로 심전도, 맥박, 스트레스 지수를 모니터링하고 저장 및 전송하는 기능과 심박 수에 따른 건강관리 기능 등을 제공한다. 이처럼 웨어러블 생체신호 측정 장치와 연동된 모바일 헬스케어 시스템을 통해 생체 신호를 지속적으로 모니터링함으로써 사용자는 만성질환을 예방하고 꾸준히 건강을 유지할 수 있다. 본 논문에서는 실제 플랫폼에 탑재되어 구현된 결과를 보여준다.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.450-457
• /
• 2022

The construction industry is demanding, dynamic, and complex making it difficult for workers to recognize hazards. The nature of construction tasks exposes workers to several critical risk factors, such as a high rate of exertion and fatigue. Recent studies suggest that fatigue may impact hazard recognition in the construction industry. However, most studies rely on subjective measures when assessing the relationship between physical fatigue and hazard recognition, limiting such studies' efficacy. Thus, this study examined the relationship between physical fatigue and hazard recognition using a controlled experiment. Worker fatigue levels were captured using physiological data and a subjective exertion scale. The findings confirmed that physical exertion plays a significant role in hazard recognition skills (p < 0.05). This research contributes to theory and practice by providing a process for objectively assessing the influence of physical fatigue on worker safety and providing construction professionals with some critical insight needed to improve workplace safety.