54 research outputs found

    Measurement of the excessive stimulus time after the sensory threshold level during electric pulp testing

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    Use of electric pulp testing elicits painful response in vital teeth. In this study, we examined the excessive time from pain feeling to stimulation disconnection in clinical situation. D626D (Parkell Inc., USA.) scan type electric pulp tester was used in total of 23 young healthy individuals. Each of the right central incisors and first premolars were used as testing teeth. Stimulation disconnection was achieved by EMG in anterior belly of digastric muscle, finger span, and voice and the excessive stimulation time over the sensory threshold was recorded. As a result, we found that the short responses before the stimulation disconnection appeared following order; EMG, finger span, and voice. The EMG disconnection is suggested to be used to reduce the excessive stimulus time in electric pulp testing.ope

    Study on excessive stimulus time and development of auto stimulus breaker during electric pulp test using human responses

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    ์ƒ์ฒด๊ณตํ•™ ํ˜‘๋™๊ณผ์ •/์„์‚ฌ[ํ•œ๊ธ€]์น˜์ˆ˜ ๊ฒ€์‚ฌ(pulp test)๋Š” ์น˜์•„์— ๋ฌผ๋ฆฌ์  ๋ฐ ํ™”ํ•™์  ์ž๊ทน์„ ๊ฐ€ํ•˜์—ฌ ์น˜์ˆ˜์˜ ์ƒํ™œ๋ ฅ(vitality) ์—ฌ๋ถ€๋ฅผ ํŒ๋ณ„ํ•˜๋Š” ๊ฒ€์‚ฌ์ด๋‹ค. ์น˜๊ณผ ์ž„์ƒ์—์„œ๋Š” ์น˜์ˆ˜ ๊ฒ€์‚ฌ์˜ ํ•œ ๋ฐฉ๋ฒ•์ธ ์ „๊ธฐ ์น˜์ˆ˜ ๊ฒ€์‚ฌ๋ฅผ ํ•  ๋•Œ, ํ†ต์ฆ์„ ๋Š๋ผ์ง€ ๋ชปํ•˜๋Š” ๋‚ฎ์€ ์ž๊ทน์œผ๋กœ๋ถ€ํ„ฐ ํ†ต์ฆ์„ ๋Š๋‚„ ๋•Œ๊นŒ์ง€ ์ž๊ทน์˜ ๊ฐ•๋„๋ฅผ ์„œ์„œํžˆ ์ฆ๊ฐ€์‹œํ‚ค๋‹ค๊ฐ€ ํ”ผ๊ฒ€์ž๊ฐ€ ํ†ต์ฆ์„ ํ˜ธ์†Œํ•˜๋ฉด ์ž๊ทน์„ ์ฐจ๋‹จ์‹œํ‚จ๋‹ค. ์ด ๊ฒ€์‚ฌ ๊ณผ์ •์—์„œ ํ”ผ๊ฒ€์ž๋Š” ์น˜์•„์— ๊ฐ€ํ•ด์ง€๋Š” ์—ญ์น˜ ์ด์ƒ์˜ ์ž๊ทน์œผ๋กœ ์ธํ•˜์—ฌ ํฐ ๊ณ ํ†ต๊ณผ ์ŠคํŠธ๋ ˆ์Šค์— ๋…ธ์ถœ๋œ๋‹ค. /๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ƒํ™œ์น˜์ˆ˜์˜ ์ „๊ธฐ ์น˜์ˆ˜ ๊ฒ€์‚ฌ ์‹œ, ์ž๊ทน์˜ ๊ฐ•๋„๋ฅผ ์„œ์„œํžˆ ์ฆ๊ฐ€์‹œ์ผœ ์—ญ์น˜์— ์ด๋ฅด๊ฒŒ ๋˜๋ฉด ๋‚˜ํƒ€๋‚˜๋Š” ํ”ผ๊ฒ€์ž์˜ ๋™ํ†ต๋ฐ˜์‘์— ์˜ํ•ด ๊ฐœ๊ตฌ๋ฐ˜์‚ฌ๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ์•…์ด๋ณต๊ทผ์˜ ๊ทผ์ „๋„์™€ ๋ฐœ์„ฑ์— ์˜ํ•œ ์Œ์„ฑ ๋ฐ˜์‘, ์†๊ฐ€๋ฝ์˜ ์›€์ง์ž„์— ์˜ํ•œ ๋ฐ˜์‘๋“ค์„ ๊ฐ๊ฐ ์ธก์ •ํ•˜์—ฌ ์ธ์ฒด ๋ฐ˜์‘์ด ์œ ๋ฐœ๋˜๋Š” ์ˆœ์„œ๋ฅผ ๋ฐํ˜”๋‹ค. ๋˜ํ•œ ๋™ํ†ต ๋ฐ˜์‘์ด ๋ฐœ์ƒํ•˜๋Š” ์‹œ์ ์œผ๋กœ๋ถ€ํ„ฐ ์ž๊ทน์ด ์ฐจ๋‹จ๋  ๋•Œ๊นŒ์ง€ ํ”ผ๊ฒ€์ž์—๊ฒŒ ํ•„์š”์ด์ƒ์œผ๋กœ ์ธ๊ฐ€๋˜๋Š” ๊ณผ์šฉ ์ž๊ทน ์‹œ๊ฐ„์„ ์ธก์ •ํ•˜์˜€์œผ๋ฉฐ, ์น˜์ˆ˜ ๊ฒ€์‚ฌ๊ธฐ์˜ ์ž๊ทน ์ฐจ๋‹จ ์ฃผ์ฒด์— ๋”ฐ๋ฅธ ๊ณผ์šฉ ์ž๊ทน ์‹œ๊ฐ„์„ ์ธก์ •ํ•œ ๊ฒฐ๊ณผ ๋จผ์ € ๋ฐœ์ƒ๋œ ์•…์ด๋ณต๊ทผ์˜ ๊ทผ์ „๋„ ๋ฐ˜์‘์„ ๊ธฐ์ค€์œผ๋กœ ๊ฒ€์‚ฌ์ž๊ฐ€ ์ฐจ๋‹จํ•œ ๊ฒฝ์šฐ 347.8 ใŽณ, ํ”ผ๊ฒ€์ž๊ฐ€ ์ฐจ๋‹จํ•œ ๊ฒฝ์šฐ์—๋Š” 216.0 ใŽณ ๋กœ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. /์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ํ”ผ๊ฒ€์ž์—๊ฒŒ ์ธ๊ฐ€๋˜๋Š” ์ž๊ทน์— ์˜ํ•ด ๊ฐ€์žฅ ๋จผ์ € ์œ ๋ฐœ๋˜๋Š” ์ธ์ฒด ๋ฐ˜์‘ ์‹ ํ˜ธ๋ฅผ ์ด์šฉํ•˜์—ฌ ์น˜์ˆ˜๊ฒ€์‚ฌ๊ธฐ์˜ ์ถœ๋ ฅ์„ ์ž๋™์œผ๋กœ ์ฐจ๋‹จํ•˜๋Š” ์ œ์–ด ์Šค์œ„์น˜๋ฅผ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ํ”ผ๊ฒ€์ž๊ฐ€ ์—ญ์น˜ ์ž๊ทน์„ ๋Š๋‚€ ํ›„ ๋‚˜ํƒ€๋‚˜๋Š” ์ธ์ฒด ๋ฐ˜์‘์— ์˜ํ•ด ์Šค์œ„์น˜ ์‹ ํ˜ธ๊ฐ€ ๋ฐœ์ƒํ•œ ํ›„ 10 ใŽณ ์ด๋‚ด์— ์‹ ์†ํ•˜๊ฒŒ ๊ฒ€์‚ฌ๊ธฐ์˜ ์ถœ๋ ฅ์„ ์ฐจ๋‹จ์‹œํ‚ด์œผ๋กœ์จ ๊ณผ์šฉ์ž๊ทน ์‹œ๊ฐ„์„ ์ค„์ด๊ณ ์ž ํ•˜์˜€๋‹ค./๋ณธ ์—ฐ๊ตฌ์—์„œ ์น˜์ˆ˜์ž๊ทน์œผ๋กœ๋ถ€ํ„ฐ ์œ ๋ฐœ๋˜๋Š” ์ธ์ฒด ๋ฐ˜์‘์œผ๋กœ ๊ณผ์šฉ์ž๊ทน์‹œ๊ฐ„์„ ์ธก์ •ํ•œ ๊ฒฐ๊ณผ ์•…์ด๋ณต๊ทผ์˜ ๊ทผ์ „๋„ ๋ฐ˜์‘์— ์˜ํ•ด 347.8 ยฑ 78.3 ใŽณ, ์†๊ฐ€๋ฝ ๋ฐ˜์‘์— ์˜ํ•ด์„œ 264.9 ยฑ 63.9 ใŽณ, ์Œ์„ฑ๋ฐ˜์‘์— ์˜ํ•ด์„œ 229.4 ยฑ 41.8 ใŽณ ๋กœ ๊ฐ๊ฐ ์ธก์ •๋˜์–ด ์ธ์ฒด ๋ฐ˜์‘์ด ์œ ๋ฐœ๋˜๋Š” ์ˆœ์„œ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ œ์•ˆํ•œ ์ธ์ฒด ๋ฐ˜์‘์„ ์ด์šฉํ•œ ์น˜์ˆ˜๊ฒ€์‚ฌ๊ธฐ์˜ ์ถœ๋ ฅ ์ œ์–ด ์Šค์œ„์น˜๋ฅผ ์ ์šฉํ•œ ๊ฒฐ๊ณผ ์ธก์ •๋œ ๊ณผ์šฉ์ž๊ทน ์‹œ๊ฐ„์€ ์•ฝ 63.6 ใŽณ๋กœ ๊ฒ€์‚ฌ์ž, ํ”ผ๊ฒ€์ž ์ฐจ๋‹จ์˜ ๊ฒฝ์šฐ์— ๋น„ํ•ด ๊ฐ๊ฐ 284.2 ใŽณ, 152.4 ใŽณ ์˜ ๊ณผ์šฉ์ž๊ทน์‹œ๊ฐ„์„ ๊ฐ์†Œ์‹œ์ผฐ๋‹ค. [์˜๋ฌธ]Electric pulp test is a method to examine the vitality of dental pulp by using physical and chemical stimulation. During the process of pulp testing, unnecessary electrical stimulus may elicit painful response. The purpose of this study was first to measure the excessive stimulus time during pulp testing by means of EMG(Electromyograph) in anterior belly of digastric muscle, voice, and finger movement, secondly, was development of an auto stimulus breaker using human responses then determine if the excessive stimulus time could be reduced by designed automatic circuit breaker on the basis of the first activating response signal. The signals from three human responses (EMG, finger and voice) generated by D626D (Parkell Inc., USA) were captured through MP100 (Biopac system Inc. USA) and recorded to the connected personal computer. The excessive stimulus time from activating three responses to the end of the electrical stimulation was calculated, respectively. The automatic circuit breaker was designed to disconnect the electrical output within 10 ใŽณ after the first activating response. Each of twenty three right central incisors and first premolars of 23 healthy individuals (16 males and 7 females) were used for the experiment. Results showed that the painful responses occurred in the order of EMG, finger, and voice. The calculated excessive stimulus was 347.8 ยฑ 78.3 ใŽณ in EMG, 264.9 ยฑ 63.9 ใŽณ in finger and 229.4 ยฑ 41.8 ใŽณ in voice, which were all significantly different at p<0.05 level. When automatic circuit breaker was used, the excessive stimulus time on the basis of EMG response could be reduced by 284.2 ใŽณ.restrictio

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ฒ ํ•™๊ณผ ์„œ์–‘์ฒ ํ•™์ „๊ณต,1996.Maste

    Analysis of visiting nursing activities in public health centers

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    ์ง€์—ญ์‚ฌํšŒ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€]๋ณธ์—ฐ๊ตฌ๋Š” ์ค‘์†Œ๋„์‹œ ๋ณด๊ฑด์†Œ์˜ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ๋Œ€์ƒ๊ฐ€๊ตฌ์— ๋Œ€ํ•œ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธํ™œ๋™์„ ๋ถ„์„ํ•œ ๊ฒƒ์ด๋‹ค. ์ด๋Š” 2000๋…„๋„๋ถ€ํ„ฐ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์‚ฌ์—… ํ™œ์„ฑํ™”๋ฅผ ์œ„ํ•œ ๊ตฌ์ฒด์ ์ธ ์šด์˜์ง€์นจ์˜ ์‹œ๋‹ฌ๋“ฑ ์ •๋ถ€์˜ ์ƒˆ๋กœ์šด ๋ฐฉํ–ฅ์ „ํ™˜์„ ํ•จ์— ์žˆ์–ด ์šฐ๋ฆฌ๋‚˜๋ผ ๋ณด๊ฑด์†Œ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์‚ฌ์—… ๊ฐ€๊ตฌ์— ๋Œ€ํ•œ ํŠน์„ฑ, ๊ฑด๊ฐ•๋ฌธ์ œ, ๊ฐ„ํ˜ธํ™œ๋™, ๋ฌธ์ œํ•ด๊ฒฐ์ˆ˜์ค€ ๋ฐ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์š”๊ตฌ๋„๋ฅผ ํŒŒ์•…ํ•จ์œผ๋กœ์จ ์ฒด๊ณ„์ ์ธ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์‚ฌ์—… ๊ธฐํš์— ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์‹œ๋„๋˜์—ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ๊ฒฝ๊ธฐ๋„ ์ผ๊ฐœ ์‹œ ๋ณด๊ฑด์†Œ๋ฅผ ์ž„์˜๋กœ ์„ ํƒํ•˜์—ฌ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์‚ฌ์—… ๊ด€๋ฆฌ๋Œ€์ƒ๊ฐ€๊ตฌ ์ด 736๊ฐ€๊ตฌ์ค‘ ๊น€์˜์ˆ™(1996)๋“ฑ์ด ์ œ์‹œํ•œ ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ๊ธฐ๋ก์ง€๋ฅผ ์ž‘์„ฑํ•˜๊ธฐ ์‹œ์ž‘ํ•œ 1999๋…„ 3์›”๋ถ€ํ„ฐ 2000๋…„ 9์›”๊นŒ์ง€ 1๋…„ 7๊ฐœ์›”๊ฐ„ ๋“ฑ๋ก๋œ ๊ฐ€๊ตฌ๋กœ ๊ฐ„ํ˜ธ๋ฌธ์ œ๊ฐ€ ๋งŽ์€ 200๊ฐ€๊ตฌ๋ฅผ ์ถ”์ถœํ•˜์˜€๋‹ค. ์ถ”์ถœ๋œ 200๊ฐ€๊ตฌ์˜ ๊ฐ€์ •๊ฑด๊ฐ•๊ธฐ๋ก๋ถ€์™€ ๊ฐ€์ •๋ฐฉ๋ฌธ๊ธฐ๋ก์ง€๋ฅผ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•˜์—ฌ ๊ธฐ๋ก๋ถ„์„์ง€๋ฅผ ๊ฐœ๋ฐœํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ธฐ๋ก๋ถ„์„์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ถ„์„๋œ ๊ฒฐ๊ณผ๋Š” SPSS/PC ํ†ต๊ณ„ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์ฒ˜๋ฆฌ์˜€์œผ๋ฉฐ ๋นˆ๋„์™€ ๋น„์œจ๋กœ ํŠน์„ฑ๋ณ„ ๋ถ„ํฌ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์กฐ์‚ฌ๋Š” ์ผ๋ฐ˜์ ํŠน์„ฑ, ๊ฐ€์กฑ๊ฑด๊ฐ•๋ฌธ์ œ, ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธํ™œ๋™, ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ์š”๊ตฌ๋„, ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์กฐ์‚ฌํ•˜์—ฌ ํŒŒ์•…๋œ ๊ฒฐ๊ณผ๊ฐ€ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ์–ป์—ˆ๋‹ค. 1. ๋Œ€์ƒ๊ฐ€๊ตฌ๋Š” 200๊ฐ€๊ตฌ์— ๊ฐ€๊ตฌ์›์ˆ˜๋Š” ์ด 425๋ช…์œผ๋กœ ํ‰๊ท ๊ฐ€๊ตฌ์›์ˆ˜๋Š” 2.2๋ช…์ด๋ฉฐ, 89.6%๊ฐ€ ์ƒํ™œ๋ณดํ˜ธ๋Œ€์ƒ๊ฐ€๊ตฌ์˜€์œผ๋ฉฐ,ํŠนํžˆ ๋…๊ฑฐ๋…ธ์ธ๊ฐ€๊ตฌ๊ฐ€ 33%๋กœ ๊ฐ€์žฅ ๋งŽ์•˜๋‹ค. ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ๊ฐ€๊ตฌ์› ํ‰๊ท ์—ฐ๋ น์€ 52.2์„ธ์ด์—ˆ๊ณ  65์„ธ ์ด์ƒ๋…ธ์ธ์ธ๊ตฌ๊ฐ€ 45.1%์ด์—ˆ๋‹ค. 2. ๋ฌธ์ œ๊ฐ€์กฑ์œ ํ˜•์€ ์ทจ์•ฝ๊ฐ€์กฑ, ํ™˜์ž๊ฐ€์กฑ, ์œ„ํ—˜ํ–‰์œ„๊ฐ€์กฑ, ์ฃผ๊ฑฐํ™˜๊ฒฝ๋ฌธ์ œ๊ฐ€์กฑ, ์ •๊ทœ๊ด€๋ฆฌ๊ฐ€์กฑ์ˆœ์ด์˜€์œผ๋ฉฐ, ํŠนํžˆ ํ™˜์ž๊ฐ€์กฑ์ค‘ ๋งŒ์„ฑ์งˆํ™˜์ž๊ฐ€์กฑ์ด 76.0%๋กœ ๊ฐ€์žฅ ๋งŽ์•˜๊ณ  ๊ทธ๋‹ค์Œ์ด ์œ„ํ—˜ํ–‰์œ„๊ฐ€์กฑ์ค‘ ๋ถ€์ ํ•ฉํ•œ ๊ฑด๊ฐ•๊ด€๋ฆฌ๊ฐ€์กฑ์ด 47%, ์ทจ์•ฝ๊ฐ€์กฑ์ค‘ ์žฅ์• ๊ฐ€์กฑ์ด 35.0%, ์†Œ์™ธ๊ฐ€์กฑ์ด 33.0%์ด์—ˆ๊ณ , ์ฃผ๊ฑฐํ™˜๊ฒฝ์œ„ํ—˜๊ฐ€์กฑ์ด 31.5%์ˆœ์ด์—ˆ๋‹ค. 3. ๊ฐ€์กฑ๋ถ„๋ฅ˜์˜ ์ค‘๋ณต๋นˆ๋„๊ฐ€ ๋†’์€ ๊ฐ€์กฑ์€ ๋งŒ์„ฑ์งˆํ™˜์ž๊ฐ€์กฑ๊ณผ ๋นˆ๊ณค๊ฐ€์กฑ์ด 39๊ฐ€๊ตฌ, ๋งŒ์„ฑ์งˆํ™˜์ž๊ฐ€์กฑ๊ณผ ์†Œ์™ธ๊ฐ€์กฑ์ด 36๊ฐ€๊ตฌ, ๋…ธ์ธ๊ฐ€์กฑ๊ณผ ๋นˆ๊ณค๊ฐ€์กฑ์ด 34๊ฐ€๊ตฌ, ๋…ธ์ธ๊ฐ€์กฑ๊ณผ ๋งŒ์„ฑ์งˆํ™˜์ž๊ฐ€์กฑ๊ณผ ๋นˆ๊ณค๊ฐ€์กฑ์ด 29๊ฐ€๊ตฌ๋กœ ๋…ธ์ธ๊ฐ€์กฑยท๋นˆ๊ณค๊ฐ€์กฑยท๋งŒ์„ฑ์งˆํ™˜์ž๊ฐ€์กฑ์ด ์ฃผ๋œ ๊ฐ€์กฑ๋ฌธ์ œ๋กœ ๋ณตํ•ฉ๋˜์–ด ์žˆ์—ˆ๋‹ค. 4. ๊ฐ€๊ตฌ์›์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๋งŒ์„ฑ์งˆํ™˜์€ 24์ข…๋ฅ˜์˜€๋‹ค. ๊ฐ€๊ตฌ์›์˜ ๋งŒ์„ฑ์งˆํ™˜์ƒํƒœ๋Š” ๊ด€์ ˆ์—ผ์ด 22.5%, ๊ณ ํ˜ˆ์•• 16.4%, ๋‹น๋‡จ 8.6%, ๋‡Œ์กธ์ค‘ 7.5%, ์ •์‹ ์งˆํ™˜ 7.4%, ์†Œํ™”๊ธฐ์งˆํ™˜ 4.4%, ์‹ฌ์žฅ์งˆํ™˜ 4.2%, ๋ฐฑ๋‚ด์žฅ 3.6%, ํ˜ธํก๊ธฐ์งˆํ™˜ 3.0%, ์•” 3.0%๋“ฑ ์ˆœ์˜ ๋นˆ๋„์˜€๊ณ , ์žฅ์•  9.4%์˜€๋‹ค. 5. ๊ฐ€์ •๋ฐฉ๋ฌธ์‹œ ํŒŒ์•…ํ•œ ๊ฐ€๊ตฌ์›์˜ ์ฃผ์š”๋ฌธ์ œ๋Š” ๊ทผ๊ณจ๊ฒฉ๊ณ„๋ฌธ์ œ 105๊ฑด, ์ •์‹ ์žฅ์• ๋ฌธ์ œ 46๊ฑด, ์†Œํ™”๊ธฐ๊ณ„๋ฌธ์ œ 44๊ฑด, ์ฆ์ƒยท์ฆํ›„๊ฐ€ ๋ถˆ๋ช…ํ™•ํ•œ ์ƒํƒœ๊ฐ€ 38๊ฑด, ํ˜ธํก๊ธฐ๊ณ„๋ฌธ์ œ 27๊ฑด, ์‹ ์žฅยท๋น„๋‡จ๊ธฐ๊ณ„๋ฌธ์ œ 22๊ฑด, ์•ˆ๊ณผ๋ฌธ์ œ 22๊ฑด, ํ”ผ๋ถ€์งˆํ™˜๋ฌธ์ œ 9๊ฑด๋“ฑ ์‹ ์ฒด์ ์ฆ์ƒ์ด ์žˆ์—ˆ๊ณ , ๋ณด๊ฑด์†Œ/๋ณ‘์˜์›/ํ–‰์ •๊ธฐ๊ด€์˜๋ขฐ๊ฐ€ 35๊ฑด, ๊ฐ€์กฑ๊ตฌ์„ฑ์›์˜ ๊ฐˆ๋“ฑ๋ฌธ์ œ 32๊ฑด,์žฌ์ •์ ๋ฌธ์ œ 13๊ฑด ์ผ์ƒ์ƒํ™œ๋ถˆํŽธ 10๊ฑด๋“ฑ 49๊ฐœ์˜ ๋Œ€์ƒ์ž ๋ถˆํŽธ๋ฌธ์ œ๊ฐ€ ๋„์ถœ๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Š” ์ฃผ๋กœ ๋งŒ์„ฑ์งˆํ™˜์œผ๋กœ ์ธํ•œ ์ฆ์ƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 6. ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ์ด๋ฐฉ๋ฌธํšŸ์ˆ˜๋Š” 3,186ํšŒ ์˜€๊ณ , ํ‰๊ท ๋ฐฉ๋ฌธ๊ธฐ๊ฐ„์€ ํ‰๊ท  15.15๊ฐœ์›”์ด์—ˆ๋‹ค. 1ํšŒ ํ‰๊ท ๋ฐฉ๋ฌธ์‹œ๊ฐ„์€ 18.2๋ถ„์ด์—ˆ์œผ๋ฉฐ, ๋“ฑ๋ก๊ธฐ๊ฐ„์ด ๊ธธ์–ด์ง์— ๋”ฐ๋ผ ๋ฐฉ๋ฌธํšŸ์ˆ˜์™€ 1ํšŒ ํ‰๊ท  ๋ฐฉ๋ฌธ์‹œ๊ฐ„์ด ์ค„์–ด๋“ค๊ณ  ์žˆ์—ˆ๋‹ค. 7. ์ด๋Œ€์ƒ๊ฐ€๊ตฌ์— ์ œ๊ณตํ•œ ๊ฐ„ํ˜ธํ™œ๋™ ๋นˆ๋„๋Š” ๊ฑด๊ฐ•์ƒํƒœ์‚ฌ์ •์™€ ์งˆ๋ณ‘์ƒํƒœ ๋ฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ์–‘์ƒ ํŒŒ์•…, ํˆฌ์•ฝ๊ด€๋ฆฌ์ œ๊ณต, ์งˆ๋ณ‘์ž๊ฐ€๊ด€๋ฆฌ๊ต์œก, ๊ทผ์œก๊ด€์ ˆ์šด๋™์ˆœ์œผ๋กœ ํ™œ๋™๋นˆ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๋“ฑ๋ก๊ธฐ๊ฐ„์— ๊ด€๊ณ„์—†์ด ๊ฐ„ํ˜ธํ™œ๋™์˜ ์ œ๊ณต๋นˆ๋„๋Š” ๋ณ€ํ™”๊ฐ€ ์—†์—ˆ์œผ๋‚˜ ํˆฌ์•ฝ์ œ๊ณต๊ด€๋ฆฌ๋Š” ๋“ฑ๋ก๊ธฐ๊ฐ„์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๊ทธ ๋นˆ๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. 8. ๋ฐฉ๋ฌธ์š”๊ตฌ๋„๋Š” ๊ฐ€๊ตฌ์˜ ์ž๊ฐ€๊ด€๋ฆฌ๋Šฅ๋ ฅ์ธ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์ธ์‹๋„์™€ ๋ฌธ์ œ๋Œ€์‘์„ ์œ„ํ•œ ์ง€์‹œ ๋ฐ ๊ธฐ์ˆ ์ •๋„, ์ง€์ง€์ž์› ๋ณด์œ ์ •๋„, ์ƒํ™œ์ˆ˜์ค€(์ง€๋ถˆ๋Šฅ๋ ฅ)์„ ์ค‘์‹ฌ์œผ๋กœ ์ธก์ •ํ•˜์—ฌ ์ง‘์ค‘๊ด€๋ฆฌ๊ตฐ์ด 12.1%, ์ •๊ธฐ๊ด€๋ฆฌ๊ตฐ์ด 60.6%, ๊ฐ์‹œ/์ถ”ํ›„๊ด€๋ฆฌ๊ตฐ์ด 22.9%, ์ž๊ฐ€๊ด€๋ฆฌ๊ตฐ์ด 4.4%๋นˆ๋„๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฐฉ๋ฌธ๊ธฐ๊ฐ„์ด ๊ธธ์–ด์ง์— ๋”ฐ๋ผ ์ง‘์ค‘๊ด€๋ฆฌ๊ตฐ์€ ๊ฐ์†Œํ•œ ๋ฐ˜๋ฉด, ์ž๊ฐ€๊ด€๋ฆฌ๊ตฐ์€ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ ์ •๊ธฐ์ ๊ด€๋ฆฌ๊ตฐ๊ณผ ๊ฐ์‹œ/์ถ”ํ›„๊ด€๋ฆฌ๊ตฐ์€ ํฐ ๋ณ€ํ™”๊ฐ€ ์—†์—ˆ๋‹ค. 9. ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธ๊ฒฐ๊ณผ๋กœ ๊ฐ„ํ˜ธํ™œ๋™์ด ์ œ๊ณต๋จ์œผ๋กœ์„œ ๋Œ€์ƒ๊ฐ€๊ตฌ์— ์ƒ๋ณ‘์กฐ์ ˆ, ํ™˜๊ฒฝ์ , ํ–‰์ •์ , ์ •์„œ/์‹ฌ๋ฆฌ์ , ๊ฒฝ์ œ์ , ๋ณต์ง€์ , ๊ฐ€์กฑ๊ฐˆ๋“ฑ, ๊ฑด๊ฐ•์ฆ์ง„, ์‹ ์ฒด๋ถˆํŽธ์ •๋„์ด ํ•ด๊ฒฐ๋œ ์ •๋„๋กœ ์™„์ „ํ•ด๊ฒฐ์ด 0.5%, ์ƒ๋‹นํžˆํ•ด๊ฒฐ์ด 14.5%, ํ˜ธ์ „์ด 62.2%, ๋ณ€ํ™”์—†์Œ์ด18.9% , ์•…ํ™”๋˜์—ˆ์Œ์ด 3.9%๋นˆ๋„๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋“ฑ๋ก๊ธฐ๊ฐ„์ด ๊ธธ์–ด์ง์— ๋”ฐ๋ผ ๋ณ€ํ™”์—†์Œ๊ฐ€๊ตฌ๊ฐ€ ๊ฐ์†Œํ•˜๋Š”๋ฐ ๋“ฑ๋ก 3๊ฐœ์›”๋ณด๋‹ค ๋“ฑ๋ก 4โˆผ6๊ฐœ์›”์—์„œ ํ˜„์ €ํžˆ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ๋ฌธ์ œํ•ด๊ฒฐ์ •๋„๊ฐ€ ์ƒ๋‹นํžˆ ํ•ด๊ฒฐ๋˜๊ณ  ์žˆ๋Š” ๊ฐ€๊ตฌ๊ฐ€ ๋“ฑ๋ก๊ธฐ๊ฐ„์ด ๊ธธ์ˆ˜๋ก ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋Š”๋ฐ ๋“ฑ๋ก 2๊ฐœ์›”์—์„œ ๋ฌธ์ œ๊ฐ€ ์ƒ๋‹นํžˆ ํ•ด๊ฒฐ๋œ ๊ฐ€๊ตฌ๋ณด๋‹ค ๋“ฑ๋ก 3๊ฐœ์›”์งธ ๋ฌธ์ œ๊ฐ€ ์ƒ๋‹นํžˆ ํ•ด๊ฒฐ๋œ ๊ฐ€๊ตฌ๊ฐ€ 2๋ฐฐ์ •๋„ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๊ฐ„ํ˜ธํ™œ๋™์€ ์ฃผ๋กœ ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ๋งŒ์„ฑ์งˆํ™˜์ž๋ฐœ๊ฒฌ๊ณผ ์น˜๋ฃŒ๊ด€๋ฆฌ์— ์ฃผ๋ ฅํ–ˆ์Œ์„ ๋ณผ์ˆ˜์žˆ์—ˆ๋‹ค. ๋ฐฉ๋ฌธ๊ฐ„ํ˜ธํ™œ๋™์œผ๋กœ ๋Œ€์ƒ๊ฐ€๊ตฌ๊ฐ€ ์Šค์Šค๋กœ ๋ฌธ์ œํ™•์ธ๊ณผ ๊ด€๋ฆฌํ•  ์ž๊ฐ€๊ด€๋ฆฌ๋Šฅ๋ ฅ์ด ๊ธธ๋Ÿฌ์กŒ์Šด์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์‚ฌ๋งยท์ „์ถœ์‹œ์—๋งŒ ๊ฐ€๊ตฌ๋ฐฉ๋ฌธ์„ ์ข…๊ฒฐํ•จ์œผ๋กœ์„œ ์ž๊ฐ€๊ด€๋ฆฌ๋Šฅ๋ ฅ์ด ๊ธธ๋Ÿฌ์ง„ ์ดํ›„์˜ ๊ฐ„ํ˜ธํ™œ๋™์€ ๋‹จ์ˆœํžˆ ๋ง๋ฒ—์ด๋‚˜ ์ •์„œ์ ์ง€์ง€๋“ฑ ์ถ”ํ›„๊ด€๋ฆฌ๊ฐ€ ์ œ๊ณต๋˜์—ˆ์„ ๋ฟ์ด์—ˆ๋‹ค. ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ๋ฌธ์ œํ•ด๊ฒฐ์ •๋„๊ฐ€ ๋“ฑ๋ก3๊ฐœ์›”์งธ์— ์ƒ๋‹นํžˆํ•ด๊ฒฐ์ด ๋งŽ์€๊ฒƒ๊ณผ ๊ฐ™์ด ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ๊ฑด๊ฐ•๊ด€๋ฆฌ๋Š” 2โˆผ3๊ฐœ์›”์งธ์— turning point๊ฐ€ ๋˜์–ด ๋ณ€ํ™”๋˜์–ด์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์—ฌ์ง์—๋”ฐ๋ผ ๊ฐ„ํ˜ธํ™œ๋™๋„ ๋Œ€์ƒ๊ฐ€๊ตฌ์˜ ์ž๊ฐ€๊ด€๋ฆฌ๋Šฅ๋ ฅ์„ ๊ณ ์ทจ์‹œํ‚ค๋Š”๋ฐ ์—ญ์ ์„ ๋‘์–ด์•ผ๊ฒ ๋‹ค. [์˜๋ฌธ]This study conducted an analysis of visiting nursing activities for the object households under the jurisdiction of local city public health centers. It was attempted for the purpose of providing basic data needed for formulating systematic visiting nursing strategies by grasping the characteristics, health problems, nursing activities, problem-solving levels and the needs of visiting nursing of the object households of public health centers in Korea, in an effort to achieve a turnaround of the government strategies for vitalizing visiting nursing activities that began in 2000. For that purpose, a local city public health center was sampled out. Among all the 736 visiting nursing object households, those 200 problem ones were takes as subjects who had been registered for one year and seven months from March 1999 through September 2000. Distributed to them were copies of the visiting nursing form created by Kim Eui-sook, et al (1996). And then an analysis was carried out of those 200 households' home health records and visiting nursing form responses. The results processed with statistic analysis using the SPSS/PC statistic program, and then distribution of characteristics was calculated by frequency and ratio. Resultant findings were revealed of the respondents' general characteristics, family health matters, visiting nursing activities, the needs of visiting nursing, and the results of visiting nursing, as follows: 1. The number of members of the 200 households totaled to 425, the mean number of household members 2.2 those object households formed 89.6% who are in need of livelihood support, those old people leading a solitary life 33%, and the mean span of life of the object households represented 52.2 years of age. 2. Family problems type in vulnerable families, families with patient, families with risk behavior, families with residential problem, and families with follow-up needs. In particular, chronic disease families reflected the highest value by 76.0% among the families with patient, and then came in order of inappropriate health care families 47% among families with risk behavior disabled families 35.0% among vulnerable families, alienated families 33.0% and residential environment families 31.5% among families with residential problem. 3. Families of the highest multiple frequency in the family classification showed 39 households in chronic disease and underprivileged families, 36 in chronic and alienated families, 34 in old and underprivileged families, 29 in chronic disease and underprivileged families, which indicates old families, underprivileged families, chronic families as their principal family problems. 4. The respondents' chronic diseases represented 22.58% in arthritis, 16.4% in hypertension, 8.4% in diabetes, 7.5% in apoplexy, 7.4% in mental disorders, 4.4% in digestive trouble, 4.2% in heart trouble, 3.6% in cataract, 3.0% in respiratory diseases, 3.0% in cancer, and 9.4% in disableness. 5. Principal problems of household members identified at the time of home visits indicated 105 musculoskeletal disorder cases, 46 mental disorder ones, 44 digestive trouble ones, 38 uncertain symptom ones, 35 ones requested by public health centers, clinics or hospitals, or administrative organs, 32 family complication ones, 27 respiratory trouble ones, 22 renal or urologic disorder ones, 22 ophthalmic ones, 13 financial problem ones, 10 daily life inconvenience ones, 9 dermatologic disease ones, and other physical symptoms. From these 49 inconvenience problems were derived such as 35 cases requested by public health centers/clinics or hospitals/administration organs, 32 family members complication cases, and financial problem cases. And it was identified that they were developed for the most part to chronic symptoms. 6. The total number of visits on overall object households showed 3,186, the mean term of visits per household revealed 15.15 months, and the mean length of time per visit 18.2 minutes. The lengthened term of registration makes the number of visits and the length of time per visit reduced. 7. Frequency of nursing activities provided to the total object households was represented in order of grasping health conditions, disease states, health care, administration of medicine, education for home care and exercise for muscles and joints. The provision of nursing activities showed no change in frequency, irrespective of its length of registration term but administration of medicine increased in its frequency as the term of registration gets lengthened. 8. Requests for visits were determined according to the instructions, technical levels, the degrees of having support resources, standards of living (payability), being classified into an intensive care group, a regular care group 12.1%, a surveillance/follow-up care group 60.6%, and a self care reliance group 4.4%. When the length of a visit got lengthened, the quantity of the intentive care group got reduced, while the home care groups was on the increase but no significant changes were found both in the regular care group and in the surveillance/follow-up care group. 9. With provision of nursing activities as a result of visiting nursing, care for diseases, environmental, administrative, emotional/ psychological, economic, welfare, family complications, the promotion of health, physical inconveniences, etc., the degree of resolution achieved was revealed with a perfect resolution by 0.5%, a considerable resolution by 14.5%, an improvement by 62.2%, no change by 18.9%, and an aggravation by 3.9%. As the length of the registration term got lengthened, the number of no change families reduced, especially remarkably in 4-6 months after registration than in 3 months of registration. The longer the length of the registration term, the more the number of households that had resolved their problems to a certain extent. The number of households that have solved their problems in some degree in 3 months after registration increased twice as much as those which had solved their problems in some degree in 2 months after registration. Notwithstanding that visiting nursing could lead the object households to identify and manage their problems themselves with their home care abilities, it ceased its activities in case of death or residental transfer. In consequence, nursing activities were deemed to be a role win serving as a conversational partner, an emotional supporter or a follow-up care provider. It was revealed that nursing activities focused principally on the detection of and care for chronic diseases of the object households. It is recommended that we should lead nursing activities to inspire home care abilities of the object households inasmuch a turning point was reflected in their health8 care in a few months, as a considerable number of problems were resolved in three months after registration.ope

    Development of a Model to Evaluate RF Exposure Level from Cellular Phone using a Neural Network

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    The wide and growing use of cellular phones has raised the question about the possible health risks associated with radio-frequency electromagnetic fields. It would be helpful for phone users to blow the exposure levels during cellular phone use. But it is very difficult to recognize the amount of exposure, because measuring accurate level of RF is a difficult matter. In this study, we developed a model to estimate the exposure level and the individual risk of exposure by utilizing the available informations that we can get. We used such parameters as usage time a day, total using period, distance between cellular phone and head, slope of cellular phone, hands-free usage, antenna pulled out or not SAR(Specific Absorption Rate) of cellular phone, and flip or folder type. We proposed a model presenting individual risk of RF exposure from level 0 to 10 by using a neural network.ope

    Reduction of excessive electrical stimulus during electric pulp testing

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    AIM: To measure excessive electrical stimulus time during pulp testing via electromyography (EMG) in the anterior belly of the digastric muscle, voice and finger movement, and to determine whether excessive stimulus time could be attenuated by a specially designed automatic circuit breaker on the basis of the EMG signal. METHODOLOGY: The signals from three human responses (EMG, finger and voice), induced by the Digitest (Parkell Inc., Farmingdale, NY, USA) electric pulp tester, were captured using a MP100 (Biopac System Inc., Goleta, CA, USA) and recorded into a personal computer. The excessive stimulus time from activation to the end of electrical stimulation was calculated for each of these three responses. The automatic circuit breaker was designed to disconnect the electrical output of the electric pulp testing (EPT) unit immediately after detecting the preset EMG level (100 mV). Each of the right central incisors and first premolars of 23 healthy individuals (16 males and seven females) was tested to see whether there was a difference in tooth type or gender. This was analysed by Wilcoxon signed rank test (nonparametric paired t-test) and Mann-Whitney test (nonparametric independent t-test), respectively. RESULTS: Amongst three human responses, the electrical onset occurred in the order of EMG, finger and voice. Excessive stimulus time was 347.8 +/- 78.3 ms when observed by the EMG, 264.9 +/- 63.9 ms when observed by finger span and 229.4 +/- 41.8 ms when observed by the voice, which were all found to be significantly different (P < 0.05). When the automatic circuit breaker was used, the excessive stimulus time was 61.0 ms, which was 286.8 ms shorter than that measured from EMG onset when using the conventional EPT. CONCLUSIONS: When the automatic circuit breaker was used, excessive stimulus time on the basis of EMG was attenuated on average by 286.8 ms.restrictio

    Development of an Auto Stimulus Breaker During the Electric Pulp Testing using Human Responses

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    Electric pulp test is a method to examine the vitality of dental pulp using physical and chemical stimulation. During the pulp test, the current stimulates intradental nerve, and it makes patients painful. In this paper, we measured each activating response EMG in anterior belly of digastric muscle, voice, and finger movement during the pulp test by increasing stimulus intensity gradually. We also measured excessive stimulus time from the activating responses (EMG, voice, and finger movement) to the end of the stimulation. We measured and analyzed excessive stimulus time for each stimulus detecting method. As a result, we developed automatic stimulus breaker using the human responses to stimulus during electric pulp test. We reduced the excessive stimulus time by disconnecting the pulp tester stimulus output rapidly in 10 ms after activating human response.ope
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