28,441 research outputs found

    Analysis of healthy sitting behavior: Interface pressure distribution and subcutaneous tissue oxygenation

    Get PDF
    Pressure ulcers are a large problem in individuals who use a wheelchair for their mobility and have limited trunk stability and motor function. Because no relation between interface pressure and pressure ulcer development has been established and no clinical threshold for pressure ulcer development can be given, looking at the sitting behavior of nondisabled individuals is important. Nondisabled individuals do not develop pressure ulcers because they continuously shift posture. We analyzed the sitting behavior of 25 nondisabled male subjects by using a combination of interface pressure measurement and subcutaneous tissue oxygenation measurement by means of the Oxygen to See. These subjects shifted posture on average 7.8 +/- 5.2 times an hour. These posture shifts were merely a combination of posture shifts in the frontal and sagittal plane. Subcutaneous oxygen saturation increased on average 2.2% with each posture adjustment, indicating a positive effect of posture shifts on tissue viability. The results of this study can be used as a reference for seating interventions aimed at preventing pressure ulcers. Changing the sitting load at least every 8 minutes is recommended for wheelchair users

    An experimental approach for the characterization of prolonged sitting postures using pressure sensitive mats

    Get PDF
    The adoption of prolonged sitting posture,which is a condition commonly encountered in several working tasks,is known to induce a wide range of negative effects,including discomfort,which has been recognized as an early predictor for musculoskeletal disorders (particularly low back pain).In this regard,the continuous monitoring of workerโ€™s psychophysical state while sitting for long periods of time, may result useful in to preventing and managing potentially risky situations and to promote ergonomics and macroergonomics interventions,aimed to better organize work shifts and workplaces.The aim of this dissertation is to provide and test the reliability of a set of monitoring parameters,based on the use of quantitative information derived from body-seat contact pressure sensors.In particular, he study was focused on the assessment of trunk postural sway (the small oscillations resulting from the stabilization control system) and the number of In Chair Movements (ICM) or postural shifts performed while sitting, proven as a reliable tool for discomfort prediction. This thesis is articulated into four experimental campaigns.The first is a pilot study which aimed to define the most reliable algorithm and the set of parameters useful to assess the performed postural shifts or In chair Movements (ICM), which result useful to characterize postural strategies in the long term-monitoring. In this regard, a pilot study was conducted in which two different algorithms for the ICM computing were tested, based on different parameters and having different thresholds. The chosen algorithm was used, together with trunk sway parameters, to evaluate postural strategies in the other three experiments of this thesis. The second and the third studies evaluated sitting postural strategies among bus drivers during regular, long-term work shifts performed on urban and extra-urban routes. The results, in this case, showed that, all drivers reported a constant increase in perceived discomfort levels and a correspondent increase in trunk sway and overall number of ICM performed. This may indicate the adoption of specific strategies in order to cope with discomfort onset, a fatigue-induced alteration of postural features, or both simultaneously. However, it was interesting to observe differences in ICM vs trunk sway trend considering the single point-to-point route in the case of urban drivers. This difference between may indicate that these parameters refer to different aspects of sitting postural strategies: ICM may be more related to discomfort while sway may be more representative of task-induced fatigue. Trunk sway monitoring, as well as the count of ICM performed by bus drivers may thus be a useful tool in detecting postural behaviors potentially associated with deteriorating performance and onset of discomfort. Finally, the last experiment aimed to characterize modifications in sitting behavior, in terms of trunk sway and ICM among office workers during actual shifts. Surprisingly, results showed a decreasing trend in trunk sway parameters and ICM performed over time, with significant modifications in sitting posture in terms of trunk flexion-extension. Subjects were also stratified basing on their working behavior (staying seated or making short breaks during the trial) and significant differences were identified among these two groups in terms of postural sway and perceived discomfort. This may indicate that the adoption of specific working strategies can significantly influence sitting behavior and discomfort onset. In conclusion, the trunk sway monitoring and the ICM assessment in actual working environments may represent a useful tool to detect specific postural behaviors potentially associated with deteriorating performance and onset of discomfort, both among professional drivers and office workers.They might effectively support the evaluation of specific working strategies,as well as the set-up of macroergonomics interventions

    Pupilsโ€™ working postures in primary school classrooms

    Get PDF
    Background and Purpose: Primary schoolchildren spend most of their time in classrooms seated in chairs in some manner, but sitting behavior and working postures of pupils are rarely observed as an important criterion in school furniture design. Yet, correctly designed workspace for school children is, among others, one of the most important key factors in regular development of all abilities of youths. This research focused primarily on the pupilsโ€™ behavior at work, their movements and frequent activities during usage of tables and chairs in primary school classrooms, with the aim to identify main working postures and define them as notable criteria when designing school furniture for the future. Materials and Methods: The research was conducted in one elementary school in Zagreb, Croatia, with 18 pupils from the 2nd to 8th grades. The method employed was video recording. Results: Forty-three characteristic postures and semi-postures, classified in four main groups were recorded. The results showed that there are major differences in the subjectsโ€™ behavior and in the habits of using the task chair and tablewith respect to age, gender, daytime, studied subjects, tasks and the teachersโ€™ behavior. Conclusions: Design of school furniture must take into account the age and anthropometrics of the child as well as analysis of characteristic postures of the pupils as one of crucial design criteria, to be observed both in 3D and 2D system. New school furniture design has to encourage sitting dynamics and fits psychological, ergonomic, physical, social and cognitive aspects of their users

    The Virtual-Spine Platformโ€”Acquiring, visualizing, and analyzing individual sitting behavior

    Get PDF
    Back pain is a serious medical problem especially for those people sitting over long periods during their daily work. Here we present a system to help users monitoring and examining their sitting behavior. The Virtual-Spine Platform (VSP) is an integrated system consisting of a real-time body position monitoring module and a data visualization module to provide individualized, immediate, and accurate sitting behavior support. It provides a comprehensive spine movement analysis as well as accumulated data visualization to demonstrate behavior patterns within a certain period. The two modules are discussed in detail focusing on the design of the VSP system with adequate capacity for continuous monitoring and a web-based interactive data analysis method to visualize and compare the sitting behavior of different persons. The data was collected in an experiment with a small group of subjects. Using this method, the behavior of five subjects was evaluated over a working day, enabling inferences and suggestions for sitting improvements. The results from the accumulated data module were used to elucidate the basic function of body position recognition of the VSP. Finally, an expert user study was conducted to evaluate VSP and support future developments

    ์ž‘์—… ๊ด€๋ จ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ ์ €๊ฐ์„ ์œ„ํ•œ ์ž‘์—… ์ž์„ธ ๋ฐ ๋™์ž‘์˜ ์ธ๊ฐ„๊ณตํ•™ ์—ฐ๊ตฌ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2022.2. ๋ฐ•์šฐ์ง„.์œก์ฒด์  ๋ถ€ํ•˜๊ฐ€ ํฐ ์ž์„ธ ๋ฐ ๋™์ž‘์œผ๋กœ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒƒ์€ ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค. ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„์— ๊ฐ€ํ•ด์ง€๋Š” ์œก์ฒด์  ๋ถ€ํ•˜์˜ ์–‘์ƒ์€ ์ˆ˜ํ–‰ํ•˜๋Š” ์ž‘์—…์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง„๋‹ค. ์žฅ์‹œ๊ฐ„ ์•‰์€ ์ž์„ธ๋กœ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ, ์ž‘์—…์ž์˜ ๊ทผ์œก, ์ธ๋Œ€์™€ ๊ฐ™์€ ์—ฐ์กฐ์ง์— ๊ณผ๋„ํ•œ ๋ถ€ํ•˜๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ ๋ชฉ, ํ—ˆ๋ฆฌ ๋“ฑ ๋‹ค์–‘ํ•œ ์‹ ์ฒด ๋ถ€์œ„์—์„œ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ์ฆ๊ฐ€ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ฐฉ์ขŒ ์‹œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ž‘์—…์ž์˜ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ , ์ด์— ๋Œ€ํ•œ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋“ค๊ธฐ ์ž‘์—…๊ณผ ๊ฐ™์€ ๋™์ ์ธ ์›€์ง์ž„์ด ํฌํ•จ๋œ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ, ์ž‘์—…์ž์˜ ์ฒด์ค‘์ด ์‹ ์ฒด์  ๋ถ€ํ•˜์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค. ์ „์„ธ๊ณ„์ ์ธ ๋น„๋งŒ์˜ ์œ ํ–‰์œผ๋กœ ์ธํ•ด ๋งŽ์€ ์ž‘์—…์ž๋“ค์ด ์ฒด์ค‘ ์ฆ๊ฐ€๋ฅผ ๊ฒช๊ณ  ์žˆ๊ณ , ๋“ค๊ธฐ ์ž‘์—…๊ณผ ๊ฐ™์€ ๋™์ ์ธ ์ž‘์—…์—์„œ ๋น„๋งŒ์€ ์‹ ์ฒด์  ๋ถ€ํ•˜์— ์•…์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋น„๋งŒ๊ณผ ์ž‘์—… ๊ด€๋ จ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์€ ์ž ์žฌ์ ์ธ ์—ฐ๊ด€์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ณ , ๋น„๋งŒ์ด ๋“ค๊ธฐ ์ž‘์—…์— ๋ฏธ์น˜๋Š” ์ƒ์ฒด์—ญํ•™์  ์˜ํ–ฅ์„ ๋…ผ์˜ํ•  ํ•„์š”์„ฑ์ด ์žˆ๋‹ค. ์ž‘์—…์žฅ์—์„œ์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๋“ค์ด ์ˆ˜ํ–‰๋˜์–ด ์™”์ง€๋งŒ, ์ž‘์—… ์‹œ์Šคํ…œ์˜ ์ธ๊ฐ„๊ณตํ•™์  ์„ค๊ณ„ ์ธก๋ฉด์—์„œ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์žฅ์‹œ๊ฐ„ ์˜์ž์— ์•‰์•„ ์ •์ ์ธ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ์ž‘์—…์ž์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•œ ์œ ๋งํ•œ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ, ์ž‘์—…์ž์˜ ์ž์„ธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ  ๋ถ„๋ฅ˜ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์ด ์ œ์•ˆ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ์€ ์ž‘์—…์ž๊ฐ€ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ๋‚ฎ์€ ์ž์„ธ๋ฅผ ์ž‘์—… ์‹œ๊ฐ„ ๋™์•ˆ ์œ ์ง€ํ•˜๋„๋ก ๋•๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๊ธฐ์กด์˜ ๋Œ€๋ถ€๋ถ„์˜ ์ž์„ธ ๋ชจ๋‹ˆํ„ฐ๋ง ์‹œ์Šคํ…œ์—์„œ๋Š” ๋ถ„๋ฅ˜ํ•  ์ž์„ธ๋ฅผ ์ •์˜ํ•˜๋Š” ๊ณผ์ •์—์„œ ์ธ๊ฐ„๊ณตํ•™์  ๋ฌธํ—Œ์ด ๊ฑฐ์˜ ๊ณ ๋ ค๋˜์ง€ ์•Š์•˜๊ณ , ์‚ฌ์šฉ์ž๊ฐ€ ์‹ค์ œ๋กœ ํ™œ์šฉํ•˜๊ธฐ์—๋Š” ์—ฌ๋Ÿฌ ํ•œ๊ณ„์ ๋“ค์ด ์กด์žฌํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—…์˜ ๊ฒฝ์šฐ, ์ฒด์งˆ๋Ÿ‰ ์ง€์ˆ˜(BMI) 40 ์ด์ƒ์˜ ์ดˆ๊ณ ๋„ ๋น„๋งŒ ์ž‘์—…์ž์˜ ๋™์ž‘ ํŒจํ„ด์„ ๋…ผ์˜ํ•œ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์ฐพ์•„๋ณผ ์ˆ˜ ์—†์—ˆ๋‹ค. ๋˜ํ•œ, ๋‹ค์–‘ํ•œ ๋“ค๊ธฐ ์ž‘์—… ์กฐ๊ฑด ํ•˜์—์„œ ์ „์‹  ๊ด€์ ˆ๋“ค์˜ ์›€์ง์ž„์„ ์ƒ์ฒด์—ญํ•™์  ์ธก๋ฉด์—์„œ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ์˜ ์—ฐ๊ตฌ ๋ชฉ์ ์€ 1) ๋‹ค์–‘ํ•œ ์„ผ์„œ ์กฐํ•ฉ์„ ํ™œ์šฉํ•œ ์‹ค์‹œ๊ฐ„ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ , 2) ๋“ค๊ธฐ ์ž‘์—… ์‹œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ด ๊ฐœ๋ณ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋“ค๊ธฐ ๋™์ž‘ ํŒจํ„ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ดํ•ดํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์ž‘์—…์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์Œ์˜ ๋‘ ๊ฐ€์ง€ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ฐฉ์ขŒ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๋Š” ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์€ ๊ฐ๊ฐ ์—ฌ์„ฏ ๊ฐœ์˜ ๊ฑฐ๋ฆฌ ์„ผ์„œ์™€ ์••๋ ฅ ์„ผ์„œ๋ฅผ ์กฐํ•ฉํ•˜์—ฌ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์ฐฉ์ขŒ ๊ด€๋ จํ•œ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์— ๋Œ€ํ•ด ๋ฌธํ—Œ ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ฒฐ์ •๋œ ์ž์„ธ๋“ค์— ๋Œ€ํ•ด ์„œ๋ฅธ ์—ฌ์„ฏ ๋ช…์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์—์„œ ์ž์„ธ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๊ธฐ ์œ„ํ•ด kNN ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•˜์˜€๊ณ , ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ๋‹จ์ผ ์ข…๋ฅ˜์˜ ์„ผ์„œ๋กœ ๊ตฌ์„ฑ๋œ ๊ธฐ์ค€ ๋ชจ๋ธ๋“ค๊ณผ ๋น„๊ต๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ถ„๋ฅ˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ์„ผ์„œ๋ฅผ ์กฐํ•ฉํ•œ ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์ด ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋“ค๊ธฐ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ๋•Œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ด ๊ฐœ๋ณ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋™์ž‘ ํŒจํ„ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋ชจ์…˜ ์บก์ณ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์‹คํ—˜์—๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜ ์ด๋ ฅ์ด ์—†๋Š” ์„œ๋ฅธ ๋‹ค์„ฏ ๋ช…์ด ์ฐธ์—ฌํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฃผ์š” ๊ด€์ ˆ(๋ฐœ๋ชฉ, ๋ฌด๋ฆŽ, ์—‰๋ฉ์ด, ํ—ˆ๋ฆฌ, ์–ด๊นจ, ํŒ”๊ฟˆ์น˜) ๋ณ„ ์šด๋™์—ญํ•™์  ๋ณ€์ˆ˜๋“ค๊ณผ, ๋“ค๊ธฐ ๋™์ž‘์˜ ํŒจํ„ด์„ ํ‘œํ˜„ํ•˜๋Š” ๋™์ž‘ ์ง€์ˆ˜๋“ค์„ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—… ์กฐ๊ฑด๊ณผ ๋น„๋งŒ ์ˆ˜์ค€์— ๋”ฐ๋ผ, ๋Œ€๋ถ€๋ถ„์˜ ๋ณ€์ˆ˜์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์ „์ฒด์ ์œผ๋กœ ๋น„๋งŒ์ธ์€ ์ •์ƒ์ฒด์ค‘์ธ์— ๋น„ํ•ด ๋‹ค๋ฆฌ ๋ณด๋‹ค ํ—ˆ๋ฆฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋“ค๊ธฐ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , ๋™์ž‘ ์ˆ˜ํ–‰ ์‹œ ์ƒ๋Œ€์ ์œผ๋กœ ์ ์€ ๊ด€์ ˆ ๊ฐ๋„ ๋ณ€ํ™”์™€ ๋Š๋ฆฐ ์›€์ง์ž„์„ ๋ณด์˜€๋‹ค. ๋“ค๊ธฐ ์ž‘์—…์—์„œ ๋ฐ•์Šค์˜ ์ด๋™์— ๊ฐœ๋ณ„ ๊ด€์ ˆ์ด ๊ธฐ์—ฌํ•˜๋Š” ๋น„์œจ๋„ ์ •์ƒ์ฒด์ค‘์ธ๊ณผ ๋น„๋งŒ์ธ์€ ๋‹ค๋ฅธ ํŒจํ„ด์„ ๋ณด์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์‹ ์ฒด์  ๋ถ€ํ•˜์— ๋…ธ์ถœ๋œ ์ž‘์—…์ž๋“ค์˜ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ €๊ฐํ•  ์ˆ˜ ์žˆ๊ณ , ๊ถ๊ทน์ ์œผ๋กœ ์—…๋ฌด์˜ ์ƒ์‚ฐ์„ฑ๊ณผ ๊ฐœ์ธ์˜ ๊ฑด๊ฐ•์„ ์ œ๊ณ ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ ์Šค๋งˆํŠธ ์˜์ž ์‹œ์Šคํ…œ์€ ๊ธฐ์กด ์ž์„ธ ๋ถ„๋ฅ˜ ์‹œ์Šคํ…œ์˜ ๋‹จ์ ๋“ค์„ ์™„ํ™”ํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์‹œ์Šคํ…œ์€ ์ €๋ ดํ•œ ์†Œ์ˆ˜์˜ ์„ผ์„œ๋งŒ์„ ํ™œ์šฉํ•˜์—ฌ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์ธก๋ฉด์—์„œ ์ค‘์š”ํ•œ ์ž์„ธ๋“ค์„ ๋†’์€ ์ •ํ™•๋„๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ž์„ธ ๋ถ„๋ฅ˜ ์‹œ์Šคํ…œ์€ ์ž‘์—…์ž์—๊ฒŒ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ž์„ธ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•˜์—ฌ, ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์ด ๋‚ฎ์€ ์ž์„ธ๋ฅผ ์œ ์ง€ํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋™์ ์ธ ์ž‘์—… ์‹œ ์ดˆ๊ณ ๋„ ๋น„๋งŒ์œผ๋กœ ์ธํ•œ ์ž ์žฌ์ ์ธ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ์ดˆ๊ณ ๋„ ๋น„๋งŒ์ธ๊ณผ ์ •์ƒ์ฒด์ค‘์ธ ๊ฐ„ ๊ด€์ ˆ์˜ ์›€์ง์ž„๊ณผ ๋™์ž‘์˜ ์ฐจ์ด๋ฅผ ์ดํ•ดํ•˜์—ฌ, ๋น„๋งŒ์„ ๊ณ ๋ คํ•œ ์ธ๊ฐ„๊ณตํ•™์  ์ž‘์—…์žฅ ์„ค๊ณ„์™€ ๋™์ž‘ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.Working in stressful postures and movements increases the risk of work-related musculoskeletal disorders (WMSDs). The physical stress on a workerโ€™s musculoskeletal system depends on the type of work task. In the case of sedentary work, stressful sitting postures for prolonged durations could increase the load on soft connective tissues such as muscles and ligaments, resulting in the incidence of WMSDs. Therefore, to reduce the WMSDs, it is necessary to monitor a workerโ€™s sitting posture and additionally provide ergonomic interventions. When the worker performs a task that involves dynamic movements, such as manual lifting, the workerโ€™s own body mass affects the physical stress on the musculoskeletal system. In the global prevalence of obesity in the workforce, an increase in the body weight of the workers could adversely affect the musculoskeletal system during the manual lifting task. Therefore, obesity could be associated with the development of WMSDs, and the impacts of obesity on workersโ€™ movement during manual lifting need to be examined. Despite previous research efforts to prevent WMSDs, there still exist research gaps concerning ergonomics design of work systems. For sedentary workers, a promising solution to reduce the occurrence of WMSDs is the development of a system capable of monitoring and classifying a seated worker's posture in real-time, which could be utilized to provide feedback to the worker to maintain a posture with a low-risk of WMSDs. However, the previous studies in relation to such a posture monitoring system lacked a review of the ergonomics literature to define posture categories for classification, and had some limitations in widespread use and user acceptance. In addition, only a few studies related to obesity impacts on manual lifting focused on severely obese population with a body mass index (BMI) of 40 or higher, and, analyzed lifting motions in terms of multi-joint movement organization or at the level of movement technique. Therefore, the purpose of this study was to: 1) develop a sensor-embedded posture classification system that is capable of classifying an instantaneous sitting posture as one of the posture categories discussed in the ergonomics literature while not suffering from the limitations of the previous system, and, 2) identify the impacts of severe obesity on joint kinematics and movement technique during manual lifting under various task conditions. To accomplish the research objectives, two major studies were conducted. In the study on the posture classification system, a novel smart chair system was developed to monitor and classify a workerโ€™s sitting postures in real-time. The smart chair system was a mixed sensor system utilizing six pressure sensors and six infrared reflective distance sensors in combination. For a total of thirty-six participants, data collection was conducted on posture categories determined based on an analysis of the ergonomics literature on sitting postures and sitting-related musculoskeletal problems. The mixed sensor system utilized a kNN algorithm for posture classification, and, was evaluated in posture classification performance in comparison with two benchmark systems that utilized only a single type of sensors. The mixed sensor system yielded significantly superior classification performance than the two benchmark systems. In the study on the manual lifting task, optical motion capture was conducted to examine differences in joint kinematics and movement technique between severely obese and non-obese groups. A total of thirty-five subjects without a history of WMSDs participated in the experiment. The severely obese and non-obese groups show significant differences in most joint kinematics of the ankle, knee, hip, spine, shoulder, and elbow. There were also significant differences between the groups in the movement technique index, which represents a motion in terms of the relative contribution of an individual joint degree of freedom to the box trajectory in a manual lifting task. Overall, the severely obese group adopted the back lifting technique (stoop) rather than the leg lifting technique (squat), and showed less joint range of excursions and slow movements compared to the non-obese group. The findings mentioned above could be utilized to reduce the risk of WMSDs among workers performing various types of tasks, and, thus, improve work productivity and personal health. The mixed sensor system developed in this study was free from the limitations of the previous posture monitoring systems, and, is low-cost utilizing only a small number of sensors; yet, it accomplishes accurate classification of postures relevant to the ergonomic analyses of seated work tasks. The mixed sensor system could be utilized for various applications including the development of a real-time posture feedback system for preventing sitting-related musculoskeletal disorders. The findings provided in the manual lifting study would be useful in understanding the potential risk of WMSDs for severely obese workers. Differences in joint kinematics and movement techniques between severely obese and non-obese groups provide practical implications concerning the ergonomic design of work tasks and workspace layout.Chapter 1. Introduction 1 1.1 Research Background 1 1.2 Research Objectives 5 1.3 Dissertation Outline 6 Chapter 2. Literature Review 8 2.1 Work-related Musculoskeletal Disorders Among Sedentary Workers 8 2.1.1 Relationship Between Sitting Postures and Musculoskeletal Disorders 8 2.1.2 Systems for Monitoring and Classifying a Seated Worker's Postures 10 2.2 Impacts of Obesity on Manual Works 22 2.2.1 Impacts of Obesity on Work Capacity 22 2.2.2 Impacts of Obesity on Joint Kinematics and Biomechanical Demands 24 Chapter 3. Developing and Evaluating a Mixed Sensor Smart Chair System for Real-time Posture Classification: Combining Pressure and Distance Sensors 27 3.1 Introduction 27 3.2 Materials and Methods 33 3.2.1 Predefined posture categories for the mixed sensor system 33 3.2.2 Physical construction of the mixed sensor system 36 3.2.3 Posture Classifier Design for the Mixed Sensor System 38 3.2.4 Data Collection for Training and Testing the Posture Classifier of the Mixed Sensor System 41 3.2.5 Comparative Evaluation of Posture Classification Performance 43 3.3 Results 46 3.3.1 Model Parameters and Features 46 3.3.2 Posture Classification Performance 47 3.4 Discussion 50 Chapter 4. Severe Obesity Impacts on Joint Kinematics and Movement Technique During Manual Load Lifting 57 4.1 Introduction 57 4.2 Methods 61 4.2.1 Participants 61 4.2.2 Experimental Task 61 4.2.3 Experimental Procedure 64 4.2.4 Data Processing 65 4.2.5 Experimental Variables 67 4.2.6 Statistical Analysis 71 4.3 Results 72 4.3.1 Kinematic Variables 72 4.3.2 Movement Technique Indexes 83 4.4 Discussion 92 Chapter 5. Conclusion 102 5.1 Summary 102 5.2 Implications 105 5.3 Limitations and Future Directions 106 Bibliography 108 ๊ตญ๋ฌธ์ดˆ๋ก 133๋ฐ•

    Physiologic responses to water immersion in man: A compendium of research

    Get PDF
    A total of 221 reports published through December 1973 in the area of physiologic responses to water immersion in man were summarized. The author's abstract or summary was used whenever possible. Otherwise, a detailed annotation was provided under the subheadings: (1) purpose, (2) procedures and methods, (3) results, and (4) conclusions. The annotations are in alphabetical order by first author; author and subject indexes are included. Additional references are provided in the selected bibliography

    An Overview in the Ergonomics of an Office Computer Workstation

    Get PDF
    Ergonomics is an applied science concerned with adapting a workplace environment to match the capabilities of a worker and ensure the worker\u27s safety. The study of ergonomics is one of increasing interest to American business. Specifically, the ergonomics of the office computer workstation has come under growing scrutiny due to a tremendous rise in the reported incidence of work related injuries. Workers, in this work environment, appear to be at a greater risk of injuries to the back, neck, shoulder, forearm, wrist, hand, and leg. These injuries, classified as cumulative trauma disorders or CTDs, can be attributed to ergonomic hazards such as poor workplace design, repetitive movements, awkward body mechanics, and prolonged static positions. The impact of these ergonomic related injuries is being felt by many businesses in the form of increased workers\u27 compensation and health insurance costs, decreased productivity, increased worker absenteeism, and often decreased worker morale. Physical therapy can play an important role in helping reduce the effects of the growing problem of CTDs in the workplace. Consultation with employees and employers regarding education in proper body mechanics, posture, exercise, and workstation design is one way in which the physical therapist may aid in decreasing the incidence of work related injuries. The purpose of this paper will be to give an overview of ergonomics and ergonomic related injuries in the computer office workstation. This review will be done to examine the effects that these injuries have on employees and employers alike, and any benefits that ergonomics may provide in the prevention of these injuries. These benefits are not only for the safety and comfort of a worker, but also for the profitability of a business

    Physical activity recommendations for early childhood: an international analysis of ten different countriesโ€™ current national physical activity policies and practices for those under the age of 5

    Get PDF
    During the last two decades there have been growing interests on recommendations for childrenโ€™s physical activity. The World Health Organization (WHO) launched the first global international recommendations for children in 2010, focusing on children and youth aged 5-17 year olds. The recommendations were based on the dose-response relationship between the frequency, duration, intensity, type and amount of physical activity needed for prevention of non-communicable diseases. There remains however, at time of writing, (2019) a gap in the recommendations, as the WHO did not offer global recommendations for those children under the age of 5 (early years). An international policy and practice analysis, (not previously undertaken), of ten sample countries, was completed of current national physical activity practices. Also an international comparison of early yearsโ€™ education settings were examined, specifically for those under the age of 5, to investigate current curricula, as well as the qualifications, knowledge and understanding of those supporting childrenโ€™s learning in different cultural contexts. The sample of ten countries (Belgium, China, Denmark, Finland, Germany, Ireland, Italy, Norway, United Kingdom and United States of America) questioned whether the global daily physical activity recommendations (WHO, 2010) are costumed and used for to the early yearsโ€™ age group on a national level or if they need to be adjusted. The analysis revealed that eight countries have developed their own national recommendations for children below the age of 5, while only two countries do not have any early yearsโ€™ specific physical activity recommendations. National authorities seem to be the most common executive sources behind the recommendations. The content of physical activity for children under the age of 5, mostly included the total amount and intensity of physical activity. The total daily amount of physical activity in these ten countries varies between 60 minutes moderate to vigorous intensity physical activity up to 180 min total light to moderate intensity physical activity and for some countries the daily recommendations are only from age 1 year, not between birth and 1 year, this age range remains unsupported. The conclusions from the analysis of national recommendations, underlined the need to see the global recommendations be developed for the younger age group, to support all countries. It is proposed a need for universally new recommendations to go beyond just physical activity intensity levels and to consider how young childrenโ€™s development can be supported in a versatile way by physically active play. Also age specific recommendations are offered for appropriate and purposeful physical activity to support early years and school aged childrenโ€™s overall development. The findings also suggest educational recommendations for staff members of early childhood education and care settings to know appropriate and age specific recommendations to ensure they are able to support young children to reach the national and global recommendations. Research recommendations are also proposed

    Oculomotor Disorders In Neck Pain Patients

    Get PDF
    • โ€ฆ
    corecore