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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 21, Pages 1502: Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke
nsmeyer There are few wearable sensors suitable for daily monitoring of wrist and finger movements for hand-related healthcare applications. Here, we describe the development and validation of a novel algorithm for magnetically counting hand movements. We implemented the algorithm on a wristband that senses magnetic field changes produced by movement of a magnetic ring worn on the finger (the “Manumeter”). The “HAND” (Hand Activity estimated by Nonlinear Detection) algorithm assigns a “HAND count” by thresholding the real-time change in magnetic field created by wrist and/or finger movement. We optimized th...
Source: Sensors - February 22, 2021 Category: Biotechnology Authors: Diogo Schwerz de Lucena Justin Rowe Vicky Chan David J. Reinkensmeyer Tags: Article Source Type: research

Sensors, Vol. 21, Pages 1575: Decoding of Ankle Joint Movements in Stroke Patients Using Surface Electromyography
In this study, we explored the potential use of surface electromyography (sEMG) as a controlling mechanism for the development of a home-based lower limb rehabilitative device for stroke patients. In this experiment, three channels of sEMG were used to record data from 11 stroke patients while performing ankle joint movements. The movements were then decoded from the sEMG data and their correlation with the level of motor impairment was investigated. The impairment level was quantified using the Fugl-Meyer Assessment (FMA) scale. During the analysis, Hudgins time-domain features were extracted and classified using linear d...
Source: Sensors - February 24, 2021 Category: Biotechnology Authors: Noor Waris Gilani Kashif Jochumsen Iqbal Niazi Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5417: Pelvis-Toe Distance: 3-Dimensional Gait Characteristics of Functional Limb Shortening in Hemiparetic Stroke
Meigen Liu We aimed to investigate whether a newly defined distance in the lower limb can capture the characteristics of hemiplegic gait compared to healthy controls. Three-dimensional gait analyses were performed on 42 patients with chronic stroke and 10 age-matched controls. Pelvis-toe distance (PTD) was calculated as the absolute distance between an anterior superior iliac spine marker and a toe marker during gait normalized by PTD in the bipedal stance. The shortening peak during the swing phase was then quantified as PTDmin. The sagittal clearance angle, the frontal compensatory angle, gait speed, and the observa...
Source: Sensors - August 11, 2021 Category: Biotechnology Authors: Koshiro Haruyama Michiyuki Kawakami Kohsuke Okada Kohei Okuyama Keita Tsuzuki Meigen Liu 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

Sensors, Vol. 22, Pages 3368: Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback
Jiping Wang Motor function evaluation is a significant part of post-stroke rehabilitation protocols, and the evaluation of wrist motor function helps provide patients with individualized rehabilitation training programs. However, traditional assessment is coarsely graded, lacks quantitative analysis, and relies heavily on clinical experience. In order to objectively quantify wrist motor dysfunction in stroke patients, a novel quantitative evaluation system based on force feedback and machine learning algorithm was proposed. Sensors embedded in the force-feedback robot record the kinematic and movement data of the sub...
Source: Sensors - April 28, 2022 Category: Biotechnology Authors: Kangjia Ding Bochao Zhang Zongquan Ling Jing Chen Liquan Guo Daxi Xiong Jiping Wang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3604: Quantitative Assessment of Hand Function in Healthy Subjects and Post-Stroke Patients with the Action Research Arm Test
era The Action Research Arm Test (ARAT) can provide subjective results due to the difficulty assessing abnormal patterns in stroke patients. The aim of this study was to identify joint impairments and compensatory grasping strategies in stroke patients with left (LH) and right (RH) hemiparesis. An experimental study was carried out with 12 patients six months after a stroke (three women and nine men, mean age: 65.2 ± 9.3 years), and 25 healthy subjects (14 women and 11 men, mean age: 40.2 ± 18.1 years. The subjects were evaluated during the performance of the ARAT using a data glove. Strok...
Source: Sensors - May 10, 2022 Category: Biotechnology Authors: Jesus Fernando Padilla-Maga ña Esteban Pe ña-Pitarch Isahi S ánchez-Suarez Neus Tic ó-Falguera Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4789: A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance
This study presents the recording and analysis of a comprehensive database of full body biomechanics and force data captured during sit-to-stand-to-sit movements in subjects who have and have not experienced stroke. These data were then used in conjunction with simple machine learning algorithms to predict vertical motion trajectories that could be further employed for the control of an assistive robot. A total of 30 people (including 6 with stroke) each performed 20 sit-to-stand-to-sit actions at two different seat heights, from which average trajectories were created. Weighted k-nearest neighbours and linear regression m...
Source: Sensors - June 24, 2022 Category: Biotechnology Authors: Thomas Bennett Praveen Kumar Virginia Ruiz Garate Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6190: Sleep Monitoring during Acute Stroke Rehabilitation: Toward Automated Measurement Using Multimodal Wireless Sensors
In this study, we explored the feasibility of (1) collecting overnight biophysical data from patients with subacute stroke using a simple sensor system and (2) constructing machine-learned algorithms to detect sleep stages. Ten individuals with stroke in an inpatient rehabilitation hospital wore two wireless sensors during a single night of sleep. Polysomnography served as ground truth to classify different sleep stages. A population model, trained on data from multiple patients and tested on data from a separate patient, performed poorly for this limited sample. Personal models trained on data from one patient and tested ...
Source: Sensors - August 18, 2022 Category: Biotechnology Authors: Pin-Wei Chen Megan K. O ’Brien Adam P. Horin Lori L. McGee Koch Jong Yoon Lee Shuai Xu Phyllis C. Zee Vineet M. Arora Arun Jayaraman Tags: Article Source Type: research

Sensors, Vol. 23, Pages 624: Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke
dreas R. Luft The restoration of gait and mobility after stroke is an important and challenging therapy goal due to the complexity of the potentially impaired functions. As a result, precise and clinically feasible assessment methods are required for personalized gait rehabilitation after stroke. The aim of this study is to investigate the reliability and validity of a sensor-based gait analysis system in stroke survivors with different severities of gait deficits. For this purpose, 28 chronic stroke survivors (9 women, ages: 62.04 ± 11.68 years) with mild to moderate walking impairments performed a set ...
Source: Sensors - January 5, 2023 Category: Biotechnology Authors: Anne Schwarz Adib Al-Haj Husain Lorenzo Einaudi Eva Th ürlimann Julia L äderach Chris Awai Easthope Jeremia P. O. Held Andreas R. Luft Tags: Article Source Type: research

Sensors, Vol. 23, Pages 712: Perspectives of Motor Functional upper Extremity Recovery with the Use of Immersive Virtual Reality in Stroke Patients
ński Stroke is one of the leading causes of disability, including loss of hand manipulative skills. It constitutes a major limitation in independence and the ability to perform everyday tasks. Among the numerous accessible physiotherapeutic methods, it is becoming more common to apply Virtual Reality "VR”. The aim of this study was to establish whether immersive VR was worth considering as a form of physical therapy and the advisability of applying it in restoring post-stroke hand function impairment. A proprietary application Virtual Mirror Hand 1.0 was used in the research and its effectivenes...
Source: Sensors - January 8, 2023 Category: Biotechnology Authors: Pawe ł Sip Marta Koz łowska Dariusz Czysz Przemys ław Daroszewski Przemys ław Lisiński Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1712: Immersive Virtual Reality in Post-Stroke Rehabilitation: A Systematic Review
This study aims to investigate the efficacy of FIVR in stroke rehabilitation. PubMed, Web of Science and Scopus were screened up to November 2022 to identify eligible randomized controlled trials (RCTs). Out of 4623, we included 12 RCTs involving post-acute and chronic stroke survivors, with a total of 350 patients (234 men and 115 women; mean age 58.36 years). High heterogeneity of the outcomes considered, the results showed that FIVR provides additional benefits, in comparison with standard rehabilitation. In particular, results showed an improvement in upper limb dexterity, gait performance and dynamic balance, influenc...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Andrea Demeco Laura Zola Antonio Frizziero Chiara Martini Arrigo Palumbo Ruben Foresti Giovanni Buccino Cosimo Costantino Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3889: EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients & rsquo; Rehabilitation
This study used the proposed motor imagery (MI) framework to analyze the electroencephalogram (EEG) dataset from eight subjects in order to enhance the MI-based BCI systems for stroke patients. The preprocessing portion of the framework comprises the use of conventional filters and the independent component analysis (ICA) denoising approach. Fractal dimension (FD) and Hurst exponent (Hur) were then calculated as complexity features, and Tsallis entropy (TsEn) and dispersion entropy (DispEn) were assessed as irregularity parameters. The MI-based BCI features were then statistically retrieved from each participant using two-...
Source: Sensors - April 11, 2023 Category: Biotechnology Authors: Noor Kamal Al-Qazzaz Alaa A. Aldoori Sawal Hamid Bin Mohd Ali Siti Anom Ahmad Ahmed Kazem Mohammed Mustafa Ibrahim Mohyee Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7320: Surface-Electromyography-Based Co-Contraction Index for Monitoring Upper Limb Improvements in Post-Stroke Rehabilitation: A Pilot Randomized Controlled Trial Secondary Analysis
Tiziana Lencioni Persons post-stroke experience excessive muscle co-contraction, and consequently the arm functions are compromised during the activities of daily living. Therefore, identifying instrumental outcome measures able to detect the motor strategy adopted after a stroke is a primary clinical goal. Accordingly, this study aims at verifying whether the surface electromyography (sEMG)-based co-contraction index (CCI) could be a new clinically feasible approach for assessing and monitoring patients’ motor performance. Thirty-four persons post-stroke underwent clinical assessment and upper extremity...
Source: Sensors - August 22, 2023 Category: Biotechnology Authors: Virginia Bandini Ilaria Carpinella Alberto Marzegan Johanna Jonsdottir Carlo Albino Frigo Laura Avanzino Elisa Pelosin Maurizio Ferrarin Tiziana Lencioni Tags: Article Source Type: research

Sensors, Vol. 18, Pages 17: Design and Development of a Wearable Device for Heat Stroke Detection
Yen Hsu Heat stroke can be potentially damaging for people while exercising in hot environments. To prevent this dangerous situation, we designed a wearable heat-stroke-detection device (WHDD) with early notification ability. First, we used several physical sensors, such as galvanic skin response (GSR), heart beat, and body temperature, to acquire medical data from exercising people. In addition, we designed risk evaluation functional components that were based on fuzzy theory to detect the features of heat stroke for users. If a dangerous situation is detected, then the device will activate the alert function to remin...
Source: Sensors - December 22, 2017 Category: Biotechnology Authors: Sheng-Tao Chen Shin-Sung Lin Chein-Wu Lan Hao-Yen Hsu Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2167: The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke
Conclusions: The Activ8 is sufficiently accurate in detecting different classes of body postures and movements of people after a stroke during basic activities and daily-life activities in a laboratory and/or at home.
Source: Sensors - July 5, 2018 Category: Biotechnology Authors: Malou H. J. Fanchamps Herwin L. D. Horemans Gerard M. Ribbers Henk J. Stam Johannes B. J. Bussmann Tags: Article Source Type: research