10 results match your criteria: "Korea Orthopedics and Rehabilitation Engineering Center[Affiliation]"

Gait event detection is essential for controlling an orthosis and assessing the patient's gait. In this study, patients wearing an electromechanical (EM) knee-ankle-foot orthosis (KAFO) with a single IMU embedded in the thigh were subjected to gait event detection. The algorithm detected four essential gait events (initial contact (IC), toe off (TO), opposite initial contact (OIC), and opposite toe off (OTO)) and determined important temporal gait parameters such as stance/swing time, symmetry, and single/double limb support.

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sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee.

Sensors (Basel)

October 2022

Department of Biomedical Engineering and Institute of Medical Engineering, Yonsei University, Wonju 26493, Korea.

sEMG-based gesture recognition is useful for human-computer interactions, especially for technology supporting rehabilitation training and the control of electric prostheses. However, high variability in the sEMG signals of untrained users degrades the performance of gesture recognition algorithms. In this study, the hand posture recognition algorithm and radar plot-based visual feedback training were developed using multichannel sEMG sensors.

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Article Synopsis
  • The study investigates the relationship between hip and knee joint movements in patients with knee osteoarthritis (KOA) using hip-knee cyclograms to assess coordination and gait variability.
  • It includes 50 KOA patients divided into early (20) and advanced (30) stages, along with 26 healthy participants over 50 years old for comparison.
  • Findings reveal that KOA severity leads to reduced knee range of motion, decreased movement area during walking, and greater variability in gait patterns, particularly pronounced in advanced KOA patients.
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Early Quantitative Partial Weight-Bearing Exercise After Periarticular Fractures of the Tibia Using a Lower-Body Positive-Pressure Treadmill: A Case Series.

Am J Phys Med Rehabil

July 2020

From the Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea (JCK, JYJ, HSN, SGC); Department of Rehabilitation Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea (JHL); Department of Rehabilitation Medicine, Incheon Workers Compensation Hospital, Incheon, Republic of Korea (JYJ, HSN); Department of Orthopedic Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (J-KK); Department of Orthopedic Surgery, Korea University Guro Hospital, Seoul, Republic of Korea (J-WC, J-KO); Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea (HSN); Y.H.C. Research & Development Team, Korea Orthopedics and Rehabilitation Engineering Center, Seoul, Republic of Korea (YHC); and Department of Rehabilitation Medicine, Asan Medical Center, College of Medicine, University of Ulsan (SHL).

The partial weight-bearing protocol after lower limb fracture is an important issue in postoperative rehabilitation. Because it is difficult to quantify the actual weight load and provide a constant weight, the protocol is unestablished. By training with a lower-body positive-pressure treadmill and using an in-shoe pressure-measuring device, partial weight-bearing exercise can be performed with quantified loads.

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A Study on An EMG Sensor with High Gain and Low Noise for Measuring Human Muscular Movement Patterns for Smart Healthcare.

Micromachines (Basel)

October 2018

Division of Smart Electrical and Electronic Engineering, Silla University, 140 Baegyang-daero (Blvd.) 700beon-gil (Rd), Sasang-gu, Busan 46958, Korea.

The form of the collection of bio-signals is becoming increasingly integrated and smart to meet the demands of the age of smart healthcare and the Fourth Industrial Revolution. In addition, the movement patterns of human muscles are also becoming more complex due to diversification of the human living environment. An analysis of the movement patterns of normal people's muscles contracting with age and that of patients who are being treated in a hospital, including the disabled, will help improve life patterns, medical treatment patterns, and quality of life.

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Lumbopelvic kinematic characteristics of golfers with limited hip rotation.

Am J Sports Med

January 2015

Department of Ergonomic Therapy, Graduate School of Health and Environment, Yonsei University, Wonju, Republic of Korea Department of Physical Therapy, College of Health Science, Yonsei University, Wonju, Republic of Korea.

Background: While the biomechanical characteristics of the golf swing are well established, the lumbopelvic kinematic characteristics of professional golfers with limited hip internal rotation warrant further investigation.

Purpose: The specific aim was to ascertain mechanical differences in lumbopelvic-hip movement of asymptomatic professional golfers with and without limited hip internal rotation during the golf swing.

Study Design: Controlled laboratory study.

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This study was aimed to evaluate the effects of low-level laser therapy (LLLT) in the treatment of trabecular bone loss induced by skeletal unloading. Twelve mice have taken denervation operation. At 2 weeks after denervation, LLLT (wavelength, 660 nm; energy, 3 J) was applied to the right tibiae of 6 mice (LASER) for 5 days/week over 2 weeks by using a minimally invasive laser needle system (MILNS) which consists of a 100 μm optical fiber in a fine needle (diameter, 130 μm) [corrected].

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When car crash experiments are performed using cadavers or dummies, the active muscles' reaction on crash situations cannot be observed. The aim of this study is to estimate muscles' response of the major muscle groups using three-dimensional musculoskeletal model by dynamic simulations of low-speed sled-impact. The three-dimensional musculoskeletal models of eight subjects were developed, including 241 degrees of freedom and 86 muscles.

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Recently, numerous types of posterior dynamic stabilization (PDS) devices have been introduced as an alternative to the fusion devices for the surgical treatment of degenerative lumbar spine. It is hypothesized that the use of 'compliant' materials such as Nitinol (Ni-Ti alloy, elastic modulus = 75 GPa) or polyether-etherketone (PEEK, elastic modulus = 3.2 GPa) in PDS can restore stability of the lumbar spine without adverse stress-shielding effects that have often been found with 'rigid' fusion devices made of 'rigid' Ti alloys (elastic modulus = 114 GPa).

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This paper proposes a novel real-time electromyogram (EMG) pattern recognition for the control of a multifunction myoelectric hand from four channel EMG signals. To extract a feature vector from the EMG signal, we use a wavelet packet transform that is a generalized version of wavelet transform. For dimensionality reduction and nonlinear mapping of the features, we also propose a linear-nonlinear feature projection composed of principal components analysis (PCA) and a self-organizing feature map (SOFM).

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