• Title/Summary/Keyword: shoe insole

Search Result 44, Processing Time 0.016 seconds

Exploring the Effect of Wearing the Knobble Shoes on Body Shape Change (혹달린신발의 착용이 인체의 체형변화에 미치는 효과 탐색)

  • Shin, Kwang Jun;Lee, Hyung H.
    • Journal of Naturopathy
    • /
    • v.11 no.1
    • /
    • pp.39-50
    • /
    • 2022
  • Background: It is essential to investigate the functionality of the newly developed knobble shoe. Purpose: The purpose was to explore how the body shape and balance change when wearing knobble shoes. Methods: Nine subjects wearing knobble shoes after walking for a month were analyzed. Results: For knobble shoes, we created various small air pockets in the insole to stimulate the soles of the feet to induce body changes. In particular, it was to promote the arch part of the foot by making a large lump inside and outside the center of the foot's arch. After wearing knobble shoes and using them for 30 days, the average blood sugar decreased by 31.1 mg. The lowering range was 5 to 120 mg. In one patient, the result of the hemoglobin test decreased by 7.5% to 6.5%. In the shoulder tapping test for a body balance test, seven subjects leaned to the right in a barefoot state, and two people to the left. However, after wearing shoes, all of them maintained equilibrium. knobble shoes fit, and balance was all stable. There were two subjects with a short left and four subjects with a short right. Conclusions: Blood sugar decreased after wearing the knobble shoes. The deformed shape of the body was restored to its original state by the knobble supporting the foot arch area. The balance of the sole directly affects the overall posture.

Analysis of Foot Pressure according to the Work Postures on Fire Fighters (소방대원들의 작업자세에 따른 족저압력 분석)

  • Son, Sung Min;Roh, Hyo Lyun
    • Journal of the Korean Society of Safety
    • /
    • v.28 no.1
    • /
    • pp.88-94
    • /
    • 2013
  • The purpose of this study is to find out the difference of foot pressure according to the firefighter's work postures for providing the basic information to prevent Musculoskeletal disorders. This study was conducted by 9 male firefighters. Work postures were selected for rescuee handling, fire hose and hydraulic rescue equipment work postures. These were divided into 3 position, "High", "Middle" and the postures of taking out and letting down hydraulic rescue equipment were analyzed as starting point and end point respectively. Foot Pressure was used to analyze contact area, peak pressure, and maximum force in terms of work postures, and compared between fire hose and hydraulic rescue equipment work postures. The results of foot pressure are as follows. According to the results of rescuee handling work postures, one person handling posture showed wide contact area and foot pressure showed the highest at right foot. Accoridng to the (High), (Middle), (Low) postures of fire hose, the results didn't show the difference among the contact area, peak pressure and maximum force. As the results of hydraulic rescue equipment work postures, (Low) postures showed the highest in terms of the right foot of contact area, peak pressure and maximum force and (High) postures showed the highest in left foot. The increase of foot pressure lead to be inconvenience of low extremity and muscle fatigue for maintaining postural control cause pain. Thus, it is necessary to design insole-equipped working shoe for reduce the impulse and effect of foot during the rescuee handling work which standing out as foot pressure.

Gait Analysis According to the changes of the carrying type and weight of bag (가방의 휴대 형태와 무게 변화에 따른 보행 분석)

  • Kim, Chan-Kyu;Lee, Byung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.14 no.1
    • /
    • pp.199-205
    • /
    • 2013
  • The purpose of this study was to analyze the changes in gait according to four style of bag's carryied method and three different bag's weights. Twenty healthy adults participated in four conditions. The first condition, they wearing a bag on one side shoulder and walked. The second condition, they carried a bag sling across on shoulder and walked. The third condition, they carried a bag on a back using both shoulders and walked. The fourth condition, they hold a bag in their right hand and walked. During all four conditions participants wore a SmartStep insole in their right shoe and had a pressure control device strapped to their right ankle. Each participant walked 10 meters carrying a 2.5 kg, 5 kg and 7.5 kg bag under all four conditions. There were significantly differents in stance phase rate; swing phase rate and walking speed according to bag weight of 2.5 kg, 5 kg, 7.5 kg.

Time Domain of Algorithm for The Detection of Freezing of Gait(FOG) in Patients with Parkinson's Disease (파킨슨병 환자의 보행동결 검출을 위한 시간영역 알고리즘)

  • Park, S.H.;Kwon, Y.R.;Kim, J.W.;Eom, G.M.;Lee, J.H.;Lee, J.W.;Lee, S.M.;Koh, S.B.
    • Journal of Biomedical Engineering Research
    • /
    • v.34 no.4
    • /
    • pp.182-188
    • /
    • 2013
  • This study aims to develop a practical algorithm which can detect freezing of gait(FOG) in patients with Parkinson's disease(PD). Eighteen PD patients($68.8{\pm}11.1yrs.$) participated in this study, and three($68.7{\pm}4.0yrs.$) of them showed FOG. We suggested two time-domain algorithms(with 1-axis or 3-axes acceleration signals) and compared them with the frequency-domain algorithm in the literature. We measured the acceleration of left foot with a 3-axis accelerometer inserted at the insole of a shoe. In the time-domain method, the root-mean-square(RMS) acceleration was calculated in a moving window of 4s and FOG was defined as the periods during which RMS accelerations located within FOG range. The parameters in each algorithm were optimized for each subject using the simulated annealing method. The sensitivity and specificity were same, i.e., $89{\pm}8%$ for the time-domain method with 1-axis acceleration and were $91{\pm}7%$ and $90{\pm}8%$ for the time-domain method with 3-axes acceleration, respectively. Both performances were better in the time-domain methods than in the frequency-domain method although the results were statistically insignificant. The amount of calculation in the time-domain method was much smaller than in the frequency-domain method. Therefore it is expected that the suggested time domain algorithm would be advantageous in the systematic implementation of FOG detection.