• 제목/요약/키워드: Walking activity

검색결과 497건 처리시간 0.027초

Investigating the Impact of Different Resisted Lateral Band Walking Strategies on Hip Abductor Muscle Activity

  • Sin Sil Kim;Sungbae Jo;Seung-gu Lee;Changho Song
    • Physical Therapy Rehabilitation Science
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    • 제12권1호
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    • pp.1-11
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    • 2023
  • Objective: This study aimed to investigate the effects of squat posture, band position, and contraction type on the muscle activity of the hip abductors during resisted lateral band walking. Design: A cross-sectional survey study Methods: 24 healthy male subjects were recruited, and surface electromyography was used to measure the muscle activity of the gluteus maximus, gluteus medius, and tensor fascia lata of the dominant leg during lateral walking exercises. Resistance bands were applied to the knees, ankles, and feet in semi-squat and squat postures, and exercises were randomly performed under six different conditions. Results: The results showed significant differences in muscle activity in the gluteus maximus, gluteus medius, and tensor fascia lata according to posture, band position, and contraction type (p<0.05). The muscle activity of the hip abductors increased in the squat posture and with the band placed on the distal joint compared to the proximal joint (p<0.05). Additionally, muscle activity was higher in the eccentric contraction phase than in the concentric contraction phase (p<0.05). Contrary to previous studies, moving the resistance band from the ankle to the foot increased the muscle activity of the tensor fascia lata while the activity of the gluteus maximus and gluteus medius also increased. Conclusions: According to the results, squat posture with a resistance band placed on the feet and using an eccentric contraction phase were found to be the most effective methods for strengthening the hip abductors.

반려견 산책 및 운동을 위한 근린환경 인식 및 만족도 연구 (Satisfaction with Neighborhood Environments for Dog Walking and Exercise)

  • 송진경;이정연;이형숙
    • 한국조경학회지
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    • 제50권4호
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    • pp.53-62
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    • 2022
  • 국내 반려동물 양육 가구 수는 매년 증가하고 있으며, 주거지 주변에서 반려견을 산책시키거나 가까운 공원을 찾아 운동하는 반려인들도 증가하고 있다. 본 연구의 목적은 반려인들을 대상으로 근린생활권 내에서의 반려견 산책활동 현황 및 물리적 환경 만족도를 파악하고, 반려견 운동공간인 반려견 놀이터에 대한 지불의사를 조사하는 것이다. 총 249명의 온라인 설문 응답자 중 47.8%가 하루 최소 1회 이상 산책을 하며, 주로 집 주변 산책로나 공원을 이용한다고 응답하였다. 응답자들은 반려견과의 높은 애착도를 나타냈으며, 반려견 산책이 반려견뿐 아니라 양육자 본인의 신체활동과 건강유지에도 도움이 된다고 인식하고 있었다. 한편, 산책로 주변 흥미로운 볼거리, 연결성 등 반려견 산책을 위한 근린생활권의 환경 만족도는 낮은 편이었으며, 목줄 없이 반려견들이 운동할 수 있는 반려견 놀이터 조성에 대한 요구가 높은 것으로 조사되었다. 반려견 놀이터의 가치는 지불의사금액의 절단된 평균을 기준으로 할 경우 85,618원으로 추정되었다. t-검정과 회귀분석을 실시한 결과 산책 빈도와 반려견 시설에 대한 만족도가 지불의사금액에 영향을 미치는 것으로 나타났다. 반려견 산책을 통한 신체활동 증진을 위해서는 근린생활권 내 반려견 산책 환경개선에 대한 관심과 노력이 필요할 것으로 판단된다.

EMG Activities of Vastus Muscles are Related to the Shoe-heel Heights in Female Patients with Patellofemoral Pain

  • Chon, Seung-Chul;Lee, Byung-Ki;Yoon, Tae-Hyung
    • International Journal of Contents
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    • 제6권1호
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    • pp.41-46
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    • 2010
  • The aim of this study was to investigate the effect of different shoe-heel heights on the surface electromyographic (EMG) activity of vastus medialis (VM) and vastus lateralis (VL) during treadmill walking in female patients with patellofemoral pain (PFP). Nineteen women with PFP participated in this research. EMG signals were recorded from the VM and VL of both sides and were compared during the treadmill walking. The subjects walked on a treadmill wearing shoes of three different heel heights: 1 cm, 3 cm and 7 cm. Each subject walked on a treadmill for five minutes at a speed of 2 km/hour with three minutes resting intervals between consecutive trials. The data were analyzed by one-way repeated-measures analysis of variance. The results of the present study indicate that EMG data of the VM and VL of female patients with PFP did improve with an increase in the height of the shoe heel, which were statistically significant. Additionally, the EMG activity of VM increased more dramatically than that of VL associated with the task of walking with high-heeled shoes on the treadmill. This study suggests that the type of high-heeled shoes is related to the VM and VL muscle activation patterns contributing to knee joint pathologies in female patients with PFP.

트레드밀 보행시 경사도와 속도에 따른 체간근육과 대퇴사두근의 근활동성 분석 (The Myoelectrical Activities of Trunk Muscle and Quardriceps Femoris According to Treadmill Gait Different Inclination and Speeds)

  • 김병곤;공원태;정연우
    • 대한정형도수물리치료학회지
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    • 제13권1호
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    • pp.44-57
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    • 2007
  • Purpose: The objective of this study is to analyze the activities of muscles importantly functioning when walking with different inclinations and speeds of a treadmill, in order to provide basic data on walking exercise using a treadmill. Method: The selected subjects of this study were 16 men and women who had lower extremity injury. A treadmill was used to provide the activation of muscle, and the electromyography was used to analyze the muscle activity variables. The Biodex was used to measure the value of maximum isometric contraction. The inclinations of the treadmill were 0%, 5% and 10%, respectively, and its speeds were 2Km/h. 3Km/h, 4Km/h, 5Km/h, and 6Km/h, respectively. Result: For quadriceps femoris muscle and trunk muscle, there were significant differences in muscle activity when different speeds were applied at 0%, 5% and 10% inclinations.(p<0.05) The activity of vastus medialis muscle was 9.78% at 0% inclination and 2km/h speed, whereas it was 9.32% at 0% inclination and 3km/h, which was slightly lower. The activity of erector spinae muscle was 24.93% at 0% inclination and 2km/h speed, whereas it was 24.84% at 0% inclination and 3km/h, whereas it was 23.99% at 0% inclination and 4km/h, which was slightly lower. The activity of vastus medialis muscle was 11.89% at 10% inclination and 2km/h speed, whereas it was 10.65% at 10% inclination and 3km/h, which was slightly lower. The activity of rectus femoris muscle was 10.26% at 10% inclination and 2km/h speed, whereas it was 9.77% at 10% inclination and 3km/h, which was slightly lower. Conclusion: It was found that the activities of trunk muscle and quadriceps femoris muscle increase as the inclination and the speed of a treadmill increase during treadmill walking.

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연관 분류 마이닝 기법을 활용한 지식기반 신체활동 평가 모델 (A Knowledge Based Physical Activity Evaluation Model Using Associative Classification Mining Approach)

  • 손창식;최락현;강원석
    • 대한임베디드공학회논문지
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    • 제13권4호
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    • pp.215-223
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    • 2018
  • Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as 'Out-of Zone', 'Fat Burn Zone', 'Cardio Zone', and 'Peak Zone'. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.

A comparative study on different walking load models

  • Wang, Jinping;Chen, Jun
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.847-856
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    • 2017
  • Excessive vibrations can occur in long-span structures such as floors or footbridges due to occupant?s daily activity like walking and cause a so-called vibration serviceability issue. Since 1970s, researchers have proposed many human walking load models, and some of them have even been adopted by major design guidelines. Despite their wide applications in structural vibration serviceability problems, differences between these models in predicting structural responses are not clear. This paper collects 19 popular walking load models and compares their effects on structure?s responses when subjected to the human walking loads. Model parameters are first compared among all these models including orders of components, dynamic load factors, phase angles and function forms. The responses of a single-degree-of-freedom system with various natural frequencies to the 19 load models are then calculated and compared in terms of peak values and root mean square values. Case studies on simulated structures and an existing long-span floor are further presented. Comparisons between predicted responses, guideline requirements and field measurements are conducted. All the results demonstrate that the differences among all the models are significant, indicating that in a practical design, choosing a proper walking load model is crucial for the structure?s vibration serviceability assessment.

뇌졸중 환자의 지팡이 높이에 따른 보행과 균형에 미치는 영향 (The Effect of Cane Height on Walking and Balance for Stroke Patients)

  • 서태화;두영택;정대인
    • 농촌의학ㆍ지역보건
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    • 제43권4호
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    • pp.250-257
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    • 2018
  • 본 연구는 성인 뇌졸중 환자의 보행기능을 향상시키기 위해 사용되고 있는 보행보조기의 가장 이상적인 길이를 제시함으로써 뇌졸중 환자만을 위한 전문화된 맞춤형 보행보조기 길이의 사용을 독려하기 위하여 실시하게 되었다. 그 결과, 지팡이 높이에 따른 성인 뇌졸중 환자의 보행균형, 보행분석에서 보행의 속도 증가를 위해서 몸통 굴곡을 통한 무게 중심이 아래쪽에 위치하고, 하지근육의 활성도 증가를 위해서 몸통 신전을 통한 무게 중심이 위쪽으로 이동하여 척추 기립근의 수축으로 뇌졸중 환자의 지팡이 높이에 따른 균형과 보행 변화의 근거를 제시한다.

Energy cost of walking in older adults: accuracy of the ActiGraph accelerometer predictive equations

  • Ndahimana, Didace;Kim, Ye-Jin;Wang, Cui-Sang;Kim, Eun-Kyung
    • Nutrition Research and Practice
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    • 제16권5호
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    • pp.565-576
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    • 2022
  • BACKGROUND/OBJECTIVES: Various accelerometer equations are used to predict energy expenditure (EE). On the other hand, the development of these equations and their validation studies have been conducted primarily without including older adults. This study assessed the accuracy of 8 ActiGraph accelerometer equations to predict the energy cost of walking in older adults. SUBJECTS/METHODS: Thirty-one participants with a mean age of 74.3 ± 3.3 yrs were enrolled in this study (20 men and 11 women). The participants completed 8 walking activities, including 5 treadmill and 3 self-paced walking activities. The EE was measured using a portable indirect calorimeter, with each participant simultaneously wearing the ActiGraph accelerometer. Eight ActiGraph equations were assessed for accuracy by comparing the predicted EE with indirect calorimetry results. RESULTS: All equations resulted in an overall underestimation of the EE across the activities (bias -1 to -1.8 kcal·min-1 and -0.7 to -1.8 metabolic equivalents [METs]), as well as during treadmill-based (bias -1.5 to -2.9 kcal·min-1 and -0.9 to -2.1 METs) and self-paced (bias -1.2 to -1.7 kcal·min-1 and -0.2 to -1.3 METs) walking. In addition, there were higher rates of activity intensity misclassifications, particularly among vigorous physical activities. CONCLUSIONS: The ActiGraph equations underestimated the EE for walking activities in older adults. In addition, these equations inaccurately classified the activities based on their intensities. The present study suggests a need to develop ActiGraph equations specific to older adults.

웨어러블 동작센서와 인공지능 학습모델 기반에서 행동인지의 개선 (Improvement of Activity Recognition Based on Learning Model of AI and Wearable Motion Sensors)

  • 안정욱;강운구;이영호;이병문
    • 한국멀티미디어학회논문지
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    • 제21권8호
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    • pp.982-990
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    • 2018
  • In recent years, many wearable devices and mobile apps related to life care have been developed, and a service for measuring the movement during walking and showing the amount of exercise has been provided. However, they do not measure walking in detail, so there may be errors in the total calorie consumption. If the user's behavior is measured by a multi-axis sensor and learned by a machine learning algorithm to recognize the kind of behavior, the detailed operation of walking can be autonomously distinguished and the total calorie consumption can be calculated more than the conventional method. In order to verify this, we measured activities and created a model using a machine learning algorithm. As a result of the comparison experiment, it was confirmed that the average accuracy was 12.5% or more higher than that of the conventional method. Also, in the measurement of the momentum, the calorie consumption accuracy is more than 49.53% than that of the conventional method. If the activity recognition is performed using the wearable device and the machine learning algorithm, the accuracy can be improved and the energy consumption calculation accuracy can be improved.

The analysis of Lower Limb Muscle Activity and Motion Analysis according to Normal Foot and Flatfoot during Walking

  • Yoon, Jung-Gyu;Yoo, Kyung-Tae;Lee, Ji-Hong;Park, Jae-Min;Min, Kyung-Ok;Choi, Jung-Hyun
    • 국제물리치료학회지
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    • 제3권1호
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    • pp.364-369
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    • 2012
  • The purpose of this study was to analyze lower limb muscle activity and 3D motion analysis according to change foot arch height during walking. We selected 9 young and healthy people who have been normal foot. And we selected 7 young and healthy people who have been flatfoot. So, people were divided into 2 groups and walked platform during 2 minutes twice for checked by 3D motion analysis. These data were characterized by EMG measurements of three muscles( tibialis anterior, medial and lateral gastrocnemius) while they were walking. The collected data were analyzed by Independent t test using the SPSS statistics program(Ver 12.0). In foot arch change, there were no significant difference in three muscles 3D motion analysis also found that there were no significant difference in joint angles. In this study was to analyze lower limb muscle activity and 3D motion analysis according to change foot arch, but there were no significant difference in 6 muscles neither joint angles.