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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 21, Pages 7685: Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant.
Source: Sensors - November 19, 2021 Category: Biotechnology Authors: Ho Seok Lee Hokyoung Ryu Shi-Uk Lee Jae-sung Cho Sungmin You Jae Hyeon Park Seong-Ho Jang Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7520: Reconstruction of Velocity Curve in Long Stroke and High Dynamic Range Laser Interferometry
Gao Wang To study the law that governs the complex movements of the mechanism in the process of automatic weapon operation, the velocity tracking test technology of photon Doppler velocimetry is introduced to accurately measure velocity, displacement and acceleration, on the condition that there are long displacement and rapid velocity change. In the traditional way, out of interference signal time-frequency (TF) transformation draws TF distribution, and then by modulus maxima frequency extraction, comes to the law of velocity change. Due to the influence resulting from the change of fundamental signal as well as th...
Source: Sensors - November 12, 2021 Category: Biotechnology Authors: Jinbao Feng Jinhui Wu Yu Si Yubin Gao Ji Liu Gao Wang Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7217: A Study of Biofeedback Gait Training in Cerebral Stroke Patients in the Early Recovery Phase with Stance Phase as Target Parameter
vanova Walking function disorders are typical for patients after cerebral stroke. Biofeedback technology (BFB) is currently considered effective and promising for training walking function, including in patients after cerebral stroke. Most studies recognize that BFB training is a promising tool for improving walking function; however, the data on the use of highly selective walking parameters for BFB training are very limited. The aim of our study was to investigate the feasibility of using BFB training targeting one of the basic parameters of gait symmetry—stance phase duration—in cerebral stroke patients in the e...
Source: Sensors - October 29, 2021 Category: Biotechnology Authors: Skvortsov Kaurkin Ivanova Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7171: Segmentation of Rat Brains and Cerebral Hemispheres in Triphenyltetrazolium Chloride-Stained Images after Stroke
g Hsieh Ischemic stroke is one of the leading causes of death among the aged population in the world. Experimental stroke models with rodents play a fundamental role in the investigation of the mechanism and impairment of cerebral ischemia. For its celerity and veracity, the 2,3,5-triphenyltetrazolium chloride (TTC) staining of rat brains has been extensively adopted to visualize the infarction, which is subsequently photographed for further processing. Two important tasks are to segment the brain regions and to compute the midline that separates the brain. This paper investigates automatic brain extraction and hemisph...
Source: Sensors - October 28, 2021 Category: Biotechnology Authors: Herng-Hua Chang Shin-Joe Yeh Ming-Chang Chiang Sung-Tsang Hsieh Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7055: Kinematic Assessment to Measure Change in Impairment during Active and Active-Assisted Type of Robotic Rehabilitation for Patients with Stroke
Kwon Analysis of kinematic features related to clinical assessment scales may qualitatively improve the evaluation of upper extremity movements of stroke patients. We aimed to investigate kinematic features that could correlate the change in the Fugl-Meyer Assessment (FMA) score of stroke survivors through upper extremity robotic rehabilitation. We also analyzed whether changes in kinematic features by active and active-assisted robotic rehabilitation correlated differently with changes in FMA scores. Fifteen stroke patients participated in the upper extremity robotic rehabilitation program, and nine kinematic feature...
Source: Sensors - October 25, 2021 Category: Biotechnology Authors: Donghwan Hwang Joon-Ho Shin Suncheol Kwon Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7014: Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review
astropietro Electroencephalography (EEG) and electromyography (EMG) are widespread and well-known quantitative techniques used for gathering biological signals at cortical and muscular levels, respectively. Indeed, they provide relevant insights for increasing knowledge in different domains, such as physical and cognitive, and research fields, including neuromotor rehabilitation. So far, EEG and EMG techniques have been independently exploited to guide or assess the outcome of the rehabilitation, preferring one technique over the other according to the aim of the investigation. More recently, the combination of EEG and...
Source: Sensors - October 22, 2021 Category: Biotechnology Authors: Cristina Brambilla Ileana Pirovano Robert Mihai Mira Giovanna Rizzo Alessandro Scano Alfonso Mastropietro Tags: Systematic Review Source Type: research

Sensors, Vol. 21, Pages 6976: Estimation of Walking Speed and Its Spatiotemporal Determinants Using a Single Inertial Sensor Worn on the Thigh: From Healthy to Hemiparetic Walking
This study advances the use of a single wearable sensor to accurately estimate walking speed and its spatiotemporal determinants during both healthy and hemiparetic walking.
Source: Sensors - October 21, 2021 Category: Biotechnology Authors: Dheepak Arumukhom Revi Stefano M. M. De Rossi Conor J. Walsh Louis N. Awad Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6900: A Compact and Lightweight Rehabilitative Exoskeleton to Restore Grasping Functions for People with Hand Paralysis
ul Alam Millions of individuals suffer from upper extremity paralysis caused by neurological disorders including stroke, traumatic brain injury, or spinal cord injury. Robotic hand exoskeletons can substitute the missing motor control and help restore the functions in daily operations. However, most of the hand exoskeletons are bulky, stationary, and cumbersome to use. We have modified a recent existing design (Tenoexo) to prototype a motorized, lightweight, fully wearable rehabilitative hand exoskeleton by combining rigid parts with a soft mechanism capable of producing various grasps needed for the execution of daily...
Source: Sensors - October 18, 2021 Category: Biotechnology Authors: Vaheh Nazari Majid Pouladian Yong-Ping Zheng Monzurul Alam Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6790: Characterization of Leg Push Forces and Their Relationship to Velocity in On-Water Sprint Kayaking
rk de Zee The purpose of this work was to describe the leg-muscle-generated push force characteristics in sprint kayak paddlers for females and males on water. Additionally, the relationship between leg pushing force characteristics and velocity was investigated. Twenty-eight paddlers participated in the study. The participants had five minutes of self-chosen warm-up and were asked to paddle at three different velocities, including maximal effort. Left- and right-side leg extension force were collected together with velocity. Linear regression analyses were performed with leg extension force characteristics as independ...
Source: Sensors - October 13, 2021 Category: Biotechnology Authors: Kent K. Klitgaard Hans Rosdahl Rene B. K. Brund John Hansen Mark de Zee Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6739: Reactive Exercises with Interactive Objects: Interim Analysis of a Randomized Trial on Task-Driven NMES Grasp Rehabilitation for Subacute and Early Chronic Stroke Patients
Conclusions: The S2 system, developed according to shared clinical directives, was tested in a clinical proof of concept. Variations of ARAT scores confirm the feasibility of clinical investigation for hand rehabilitation after stroke.
Source: Sensors - October 11, 2021 Category: Biotechnology Authors: Andrea Crema Ivan Furfaro Flavio Raschell à Mauro Rossini Johannes Zajc Constantin Wiesener Walter Baccinelli Davide Proserpio Andreas Augsten Nancy Immick Sebastian Becker Matthias Weber Thomas Schauer Karsten Krakow Giulio Gasperini Franco Molteni Mich Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6636: The Stumblemeter: Design and Validation of a System That Detects and Classifies Stumbles during Gait
Smit Stumbling during gait is commonly encountered in patients who suffer from mild to serious walking problems, e.g., after stroke, in osteoarthritis, or amputees using a lower leg prosthesis. Instead of self-reporting, an objective assessment of the number of stumbles in daily life would inform clinicians more accurately and enable the evaluation of treatments that aim to achieve a safer walking pattern. An easy-to-use wearable might fulfill this need. The goal of the present study was to investigate whether a single inertial measurement unit (IMU) placed at the shank and machine learning algorithms could be used t...
Source: Sensors - October 6, 2021 Category: Biotechnology Authors: Hartog Harlaar Smit Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6617: A Brake-Based Overground Gait Rehabilitation Device for Altering Propulsion Impulse Symmetry
nbecker This paper introduces a new device for gait rehabilitation, the gait propulsion trainer (GPT). It consists of two main components (a stationary device and a wearable system) that work together to apply periodic stance-phase resistance as the user walks overground. The stationary device provides the resistance forces via a cable that tethers the user’s pelvis to a magnetic-particle brake. The wearable system detects gait events via foot switches to control the timing of the resistance forces. A hardware verification test confirmed that the GPT functions as intended. We conducted a pilot study in which one heal...
Source: Sensors - October 5, 2021 Category: Biotechnology Authors: Siyao Hu Krista Fjeld Erin V. Vasudevan Katherine J. Kuchenbecker Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6576: Sensors for Wheelchair Tennis: Measuring Trunk and Shoulder Biomechanics and Upper Extremity Vibration during Backhand Stroke
This study was the first to compare the differences in trunk/shoulder kinematics and impact vibration of the upper extremity during backhand strokes in wheelchair tennis players and the able-bodied players relative to standing and sitting positions, adopting an electromagnetic system along with wearable tri-axial accelerometers upon target body segments. A total of 15 wheelchair tennis players and 15 able-bodied tennis players enrolled. Compared to players in standing positions, wheelchair players demonstrated significant larger forward trunk rotation in the pre-preparation, acceleration, and deceleration phase. Significan...
Source: Sensors - September 30, 2021 Category: Biotechnology Authors: Yan-Ying Ju Wan-Ting Chu Wann-Yun Shieh Hsin-Yi Kathy Cheng Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6431: BCI-Based Control for Ankle Exoskeleton T-FLEX: Comparison of Visual and Haptic Stimuli with Stroke Survivors
A. Cifuentes Brain–computer interface (BCI) remains an emerging tool that seeks to improve the patient interaction with the therapeutic mechanisms and to generate neuroplasticity progressively through neuromotor abilities. Motor imagery (MI) analysis is the most used paradigm based on the motor cortex’s electrical activity to detect movement intention. It has been shown that motor imagery mental practice with movement-associated stimuli may offer an effective strategy to facilitate motor recovery in brain injury patients. In this sense, this study aims to present the BCI associated with visual and haptic stimuli to...
Source: Sensors - September 26, 2021 Category: Biotechnology Authors: Patricio Barria Angie Pino Nicol ás Tovar Daniel Gomez-Vargas Karim Baleta Camilo A. R. D íaz Marcela M únera Carlos A. Cifuentes Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6274: Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network
chumsen Error-related potentials (ErrPs) have been proposed as a means for improving brain–computer interface (BCI) performance by either correcting an incorrect action performed by the BCI or label data for continuous adaptation of the BCI to improve the performance. The latter approach could be relevant within stroke rehabilitation where BCI calibration time could be minimized by using a generalized classifier that is continuously being individualized throughout the rehabilitation session. This may be achieved if data are correctly labelled. Therefore, the aims of this study were: (1) classify single-trial ErrPs pr...
Source: Sensors - September 18, 2021 Category: Biotechnology Authors: Nayab Usama Imran Khan Niazi Kim Dremstrup Mads Jochumsen Tags: Article Source Type: research