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Total 601 results found since Jan 2013.

Sensors, Vol. 23, Pages 7946: Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
In this study, we aimed to develop a machine learning (ML) model to predict the risk of PSAMO. We retrospectively studied 1780 patients with stroke who were divided into PSAMO vs. no PSAMO groups based on results of validated depression and anxiety questionnaires. The features collected included demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. Recursive feature elimination was used to select features to input in parallel to eight ML algorithms to train and test the model. Bayesian optimization was used for hyperparameter tuning. Shaple...
Source: Sensors - September 17, 2023 Category: Biotechnology Authors: Chien Wei Oei Eddie Yin Kwee Ng Matthew Hok Shan Ng Ru-San Tan Yam Meng Chan Lai Gwen Chan Udyavara Rajendra Acharya Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 7906: Quantitative Comparison of Hand Kinematics Measured with a Markerless Commercial Head-Mounted Display and a Marker-Based Motion Capture System in Stroke Survivors
Sofia Straudi Upper-limb paresis is common after stroke. An important tool to assess motor recovery is to use marker-based motion capture systems to measure the kinematic characteristics of patients’ movements in ecological scenarios. These systems are, however, very expensive and not readily available for many rehabilitation units. Here, we explored whether the markerless hand motion capabilities of the cost-effective Oculus Quest head-mounted display could be used to provide clinically meaningful measures. A total of 14 stroke patients executed ecologically relevant upper-limb tasks in an immersive vi...
Source: Sensors - September 15, 2023 Category: Biotechnology Authors: Antonino Casile Giulia Fregna Vittorio Boarini Chiara Paoluzzi Fabio Manfredini Nicola Lamberti Andrea Baroni Sofia Straudi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7872: Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation
kubic Those who survive the initial incidence of a stroke experience impacts on daily function. As a part of the rehabilitation process, it is essential for clinicians to monitor patients’ health status and recovery progress accurately and consistently; however, little is known about how patients function in their own homes. Therefore, the goal of this study was to develop, train, and test an algorithm within an ambient, in-home depth sensor system that can classify and quantify home activities of individuals post-stroke. We developed the Daily Activity Recognition and Assessment System (DARAS). A daily a...
Source: Sensors - September 14, 2023 Category: Biotechnology Authors: Rachel Proffitt Mengxuan Ma Marjorie Skubic Tags: Article Source Type: research

The microRNAs (miRs) overexpressing mesenchymal stem cells (MSCs) therapy in neurological disorders; hope or hype
AbstractAltered expression of multiple miRNAs was found to be extensively involved in the pathogenesis of different neurological disorders including Alzheimer's disease, Parkinson's disease, stroke, epilepsy, multiple sclerosis, amyotrophic lateral sclerosis, and Huntington's disease. One of the biggest concerns within gene-based therapy is the delivery of the therapeutic microRNAs to the intended place, which is obligated to surpass the biological barriers without undergoing degradation in the bloodstream or renal excretion. Hence, the delivery of modified and unmodified miRNA molecules using excellent vehicles is require...
Source: Biotechnology Progress - September 6, 2023 Category: Biotechnology Authors: Sulieman Ibraheem Shelash Al ‐Hawary, Anas Yahya Ali, Yasser Fakri Mustafa, Ria Margiana, Shamsutdinova Maksuda Ilyasovna, Montather F. Ramadan, Sami G. Almalki, Marim Alwave, Safa Alkhayyat, Ali Alsalamy Tags: REVIEW Source Type: research

Sensors, Vol. 23, Pages 7427: Assessing Spatiotemporal and Quality Alterations in Paretic Upper Limb Movements after Stroke in Routine Care: Proposal and Validation of a Protocol Using IMUs versus MoCap
This study aims to assess the minimal detectable change (MDC) between spatiotemporal and quality variables obtained from these IMUs and MoCap, based on a specific protocol of IMU calibration and measurement and on data processing using the dead reckoning method. We also studied the influence of each data processing step on the level of between-system MDC. Fifteen post-stroke hemiparetic subjects performed reach or grasp tasks. The MDC for the movement time, index of curvature, smoothness (studied through the number of submovements), and trunk contribution was equal to 10.83%, 3.62%, 39.62%, and 25.11%, respectively. All ca...
Source: Sensors - August 25, 2023 Category: Biotechnology Authors: Baptiste Merlau Camille Cormier Alexia Alaux Margot Morin Emmeline Montan é David Amarantini David Gasq Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7316: Adaptive Petal Reflector: In-Lab Software Configurable Optical Testing System Metrology and Modal Wavefront Reconstruction
nt This paper addresses two aspects of the metrology of spherical, petal polymer reflectors which are part of an effort by the European Space Agency (ESA) to develop actively controlled foldable reflectors, enabling larger apertures on CubeSats and small satellites. The first problem is that of measuring the surface figure error of the spherical reflector alone during the development phase, and to assess the quality before assembling the telescope (large stroke, low accuracy). The SCOTS (Software Configurable Optical Testing System) appears to provide a fast and satisfactory solution to this problem. The second problem...
Source: Sensors - August 22, 2023 Category: Biotechnology Authors: Carl Johan G. Nielsen Andr é Preumont 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. 23, Pages 7177: Does Accelerometry at the Centre of Mass Accurately Predict the Gait Energy Expenditure in Patients with Hemiparesis?
Conclusions: The accuracy of the predicted EE, based on the accelerometer and the equations proposed by Bouten et al., was low in individuals with hemiparesis and impaired gait. This combination (sensor and Bouten’s equation) is not yet suitable for use as a stand-alone measure in clinical practice for the evaluation of hemiparetic patients.
Source: Sensors - August 15, 2023 Category: Biotechnology Authors: L éo Barassin Didier Pradon Nicolas Roche Jean Slawinski Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7055: Wearable and Noninvasive Device for Integral Congestive Heart Failure Management in the IoMT Paradigm
The objective of this study is to develop a wearable bioimpedance-based device, which can provide continuous measurement of cardiac output and stroke volume, as well as other physiological parameters for a greater prognosis and prevention of congestive heart failure. The bioimpedance system, which is based on a robust and cost-effective measuring principle, was implemented in a CMOS application specific integrated circuit, and operates as the analog front-end of the device, which has been provided with a radio-frequency section for wireless communication. The operating parameters of the proposed wearable device are remotel...
Source: Sensors - August 9, 2023 Category: Biotechnology Authors: Jos é L. Ausín Javier Ramos Antonio Lorido Pedro Molina J. Francisco Duque-Carrillo Tags: Article Source Type: research

Comparative transcriptome findings reveal the neuroinflammatory network and potential biomarkers to early detection of ischemic stroke
Ischemic stroke accounts for 70 –80% of all stroke cases, leading to over two million people dying every year. Poor diagnosis and late detection are the major causes of the high death and disability rate.
Source: Journal of Biological Engineering - August 2, 2023 Category: Biotechnology Authors: Jiefeng Luo, Dingzhi Chen, Yujia Mei, Hepeng Li, Biyun Qin, Xiao Lin, Ting Fung Chan, Keng Po Lai and Deyan Kong Tags: Research Source Type: research

Sensors, Vol. 23, Pages 6793: Performance Evaluation for Clinical Stroke Rehabilitation via an Automatic Mobile Gait Trainer
Fu-Cheng Wang This paper investigates the clinical efficacy of an automatic mobile trainer for gait training in stroke patients. Neuro-Developmental Treatment (NDT) is a rehabilitation method for stroke patients that enhances motor learning through repeated practice. Despite the proven effectiveness of therapist-assisted NDT, it is labor-intensive and demands health resources. Therefore, we developed automatic trainers based on NDT principles to perform gait training. This paper modifies the mobile trainer’s intervention patterns to improve the subject’s longitudinal gait symmetry, lateral p...
Source: Sensors - July 29, 2023 Category: Biotechnology Authors: Chih-Jen Shih You-Chi Li Wei Yuan Szu-Fu Chen Ang-Chieh Lin Tzu-Tung Lin Fu-Cheng Wang Tags: Article Source Type: research

Selection of regioselective DNA aptamer for detection of homocysteine in nondeproteinized human plasma
Biosens Bioelectron. 2023 Jul 11;237:115528. doi: 10.1016/j.bios.2023.115528. Online ahead of print.ABSTRACTSmall molecule-binding aptamers often suffer from high cross reactivity to structure analogues in biological samples, limiting their value for clinical diagnosis. Herein, we present a method to overcome this issue, by performing binding-inhibited organic reaction-based regioselective selection of aptamers against homocysteine (Hcy), which is a marker for diagnosing many disorders including stroke and Alzheimer's. This approach has led to isolation of a DNA aptamer that binds to the alkane thiol chain of Hcy with exce...
Source: Biosensors and Bioelectronics - July 22, 2023 Category: Biotechnology Authors: Jianshuo Zhou Hui Li Jinming Li Xuemei Liu Jiaxing Zhao Nan Wang Yuxiao Wang Yu Zhang Xin Zhang Yucen Xin Xiaoqi Li Zheng Wang Ningsheng Shao Xinhui Lou Source Type: research

Sensors, Vol. 23, Pages 6449: Sollerman Hand Function Sub-Test & ldquo;Write with a Pen & rdquo;: A Computer-Vision-Based Approach in Rehabilitation Assessment
Sensors, Vol. 23, Pages 6449: Sollerman Hand Function Sub-Test “Write with a Pen”: A Computer-Vision-Based Approach in Rehabilitation Assessment Sensors doi: 10.3390/s23146449 Authors: Orestis N. Zestas Nikolaos D. Tselikas Impaired hand function is one of the most frequently persistent consequences of stroke. Throughout the rehabilitation process, physicians consistently monitor patients and perform kinematic evaluations in order to assess their overall progress in motor recovery. The Sollerman Hand Function Test (SHT) is a valuable assessment tool used to evaluate a patient’s c...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Orestis N. Zestas Nikolaos D. Tselikas Tags: Article Source Type: research