Development of an LCD-Based Visual Field System

Background: The present study investigated the diagnostic effectiveness of an LCD-based visual field testing system (LVF) in comparison with the standard automated perimetry Humphrey Field Analyzer II-750i (HFA). Methods: A randomized controlled crossover study was conducted with 202 normal and 128 glaucomatous eyes using both LVF and HFA. The visual field testing systems were compared in terms of mean deviation (MD), pattern standard deviation (PSD), and area under the receiver operating characteristics curve (AUC) of MD and PSD differentiating the normal and glaucomatous eyes. Results: Significant correlations were found between MD measurements from LVF and those from HFA for normal eyes (r = 0.342) and glaucomatous eyes (r = 0.796); slightly higher significant correlations were identified between PSD measurements from LVF and those from HFA for normal eyes (r = 0.363) and glaucomatous eyes (r = 0.828). Furthermore, high AUCs of MD were found as 0.786 for LVF and 0.868 for HFA and AUCs of PSD as 0.913 for LVF and 0.932 for HFA. Conclusion: The comparison results of the present study support the competence of LVF compared with HFA in visual field testing for early detection of glaucoma.11Ysciescopuskc

삼킴 기능 모니터링을 통한 노인의 삶의 질과 의미 증진

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Special Issue “Novel Approaches and Applications in Ergonomic Design”

Interactions between humans and systems need to be designed appropriately for safety, usability, productivity, health, and/or wellness [...

Special Issue "Novel Approaches and Applications in Ergonomic Design

[No abstract available]11Ysciescopu

The Development of a Risk Assessment Model for Carpal Tunnel Syndrome, Unpublished doctoral dissertation

A risk assessment model for CTS was developed from a case-control study consisting of two case-and one control groups: (1) 25 non-work related CTS patients (NW-CTS), (2) 22 work-related CTS patients (W-CTS), and (3) 50 healthy workers (HEALTHY) having had no CTS symptom history. Personal susceptibility, psychosocial stress at work, and ergonomic hazards were surveyed by using a questionnaire directed toward CTS (reliability of each scale ≥ .7). Three logistic regression models were developed and cross-validated for (1) W-CTS/HEALTHY, (2) NW-CTS/HEALTHY, and (3) CTS/HEALTHY, resulting in 89%, 84%, and 88% of correct classification performance, respectively. While the first two models include personal and ergonomic factors, the last model does only personal factors. This suggests that injury causation of NW-CTS patients be attributable mainly to their 'high' personal susceptibility to CTS rather than exposure to adverse work conditions, while for W-CTS patients work exposure and/or personal susceptibility cause their injury

초음파 도플러 센서 기반 실시간 삼킴 모니터링 기술 개발

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인간공학적 제품 설계를 위한 형상 기반 백분위 대표인체모델 생성 방법

Objective: A novel method based on body shape for the generation of representative human models (RHMs) was proposed in the present study for ergonomic product design. Background: RHMs of a particular population are required to satisfy the representativeness of a target population under consideration in ergonomic product design. A conventional RHM generation method based on key anthropometric dimensions has limitations in terms of the representativeness of RHMs and consistency between RHMs. Method: This study proposed a method of shape-based percentile RHM generation using template-registered 3D body images. A point cluster containing all 3D body images of a particular vertex is projected on a vector passing the origin point and the average location of the point cluster; then, a percentile location of the point cluster is calculated. Then, a percentile RHM is generated by forming a triangular mesh structure based on the percentile locations of all the vertices. Lastly, the generated RHM is adjusted in terms of its size by referring to anthropometric measurements. Results: The RHMs generated by the proposed method showed better representativeness for ergonomic product design as well as better morphological consistency between RHMs as compared to the conventional method. Conclusion: Compared to the conventional method that chooses a few cases from a large number of 3D body scan images in a database, the proposed method uses all the 3D scan images in a database to generate RHMs. Application: The proposed method can be applied for the ergonomic design of wearable products such as facial masks, glass-type or goggle-type products, industrial protective devices, sporting goods for athletes, medical prosthetics, and assistive tools.22Nkc

한국 여성 노인을 대상으로 한 피트니스 압박웨어 선호도 및 착용특성 펑가

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인간공학적 스마트폰 Hard Key 위지 설계 방법 개발

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가독성을 고려한 Label 글자 크기 설계 방법

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