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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 23, Pages 5827: Development of a Control Strategy in an Isokinetic Device for Physical Rehabilitation
lo Robotic-assisted rehabilitation is currently being applied to improve the effectiveness of human gait rehabilitation and recover the mobility and strength after a stroke or spinal cord injury; a robotic assistant can allow the active participation of the patient and the supervision of the collected data and decrease the labor required from therapists during the patient’s training exercises. The goal of gait rehabilitation with robotic-based assistance is to restore motor function by using diverse control strategies, taking account of the physical interaction with the lower limbs of the patient. Over th...
Source: Sensors - June 22, 2023 Category: Biotechnology Authors: Jorge Andr és Peñaloza-González Sergey Gonz ález-Mejía Jos é Isidro García-Melo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5690: Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications
Reinkensmeyer The ability to count finger and wrist movements throughout the day with a nonobtrusive, wearable sensor could be useful for hand-related healthcare applications, including rehabilitation after a stroke, carpal tunnel syndrome, or hand surgery. Previous approaches have required the user to wear a ring with an embedded magnet or inertial measurement unit (IMU). Here, we demonstrate that it is possible to identify the occurrence of finger and wrist flexion/extension movements based on vibrations detected by a wrist-worn IMU. We developed an approach we call “Hand Activity Recognition through us...
Source: Sensors - June 18, 2023 Category: Biotechnology Authors: Shusuke Okita Roman Yakunin Jathin Korrapati Mina Ibrahim Diogo Schwerz de Lucena Vicky Chan David J. Reinkensmeyer Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5618: Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation
s D. Zink Atrial fibrillation (AF) is an arrhythmic cardiac disorder with a high and increasing prevalence in aging societies, which is associated with a risk for stroke and heart failure. However, early detection of onset AF can become cumbersome since it often manifests in an asymptomatic and paroxysmal nature, also known as silent AF. Large-scale screenings can help identifying silent AF and allow for early treatment to prevent more severe implications. In this work, we present a machine learning-based algorithm for assessing signal quality of hand-held diagnostic ECG devices to prevent misclassification due to insu...
Source: Sensors - June 15, 2023 Category: Biotechnology Authors: Markus Lueken Michael Gramlich Steffen Leonhardt Nikolaus Marx Matthias D. Zink Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5601: Source-Based EEG Neurofeedback for Sustained Motor Imagery of a Single Leg
kovic The aim of the study was to test the feasibility of visual-neurofeedback-guided motor imagery (MI) of the dominant leg, based on source analysis with real-time sLORETA derived from 44 EEG channels. Ten able-bodied participants took part in two sessions: session 1 sustained MI without feedback and session 2 sustained MI of a single leg with neurofeedback. MI was performed in 20 s on and 20 s off intervals to mimic functional magnetic resonance imaging. Neurofeedback in the form of a cortical slice presenting the motor cortex was provided from a frequency band with the strongest activity during real movements. The ...
Source: Sensors - June 15, 2023 Category: Biotechnology Authors: Anna Zulauf-Czaja Bethel Osuagwu Aleksandra Vuckovic Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5513: Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets
mmadi Stroke survivors often suffer from movement impairments that significantly affect their daily activities. The advancements in sensor technology and IoT have provided opportunities to automate the assessment and rehabilitation process for stroke survivors. This paper aims to provide a smart post-stroke severity assessment using AI-driven models. With the absence of labelled data and expert assessment, there is a research gap in providing virtual assessment, especially for unlabeled data. Inspired by the advances in consensus learning, in this paper, we propose a consensus clustering algorithm, PSA-NMF, that combin...
Source: Sensors - June 12, 2023 Category: Biotechnology Authors: Najmeh Razfar Rasha Kashef Farah Mohammadi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5398: Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke
n Seo Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients’ specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the...
Source: Sensors - June 7, 2023 Category: Biotechnology Authors: Adam Baker Christian Schranz Na Jin Seo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5213: Attempt to Make the Upper-Limb Item of Objective Fugl & ndash;Meyer Assessment Using 9-Axis Motion Sensors
This study aimed to create a more objective and standardized evaluation based on an FMA of the upper-limb items. A total of 30 first-ever stroke patients (65.3 ± 10.3 years old) and 15 healthy participants (35.4 ± 13.4 years old) admitted to Itami Kousei Neurosurgical Hospital were included. A nine-axis motion sensor was attached to the participants, and the joint angles of 17 upper-limb items (excluding fingers) and 23 FMA upper-limb items (excluding reflexes and fingers) were measured. From the measurement results, we analyzed the time-series data of each movement and obtained the correlatio...
Source: Sensors - May 30, 2023 Category: Biotechnology Authors: Yusuke Ueyama Takashi Takebayashi Kenta Takeuchi Makoto Yamazaki Keisuke Hanada Yuho Okita Shinichi Shimada Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5146: Comparison of Grip Strength, Forearm Muscle Activity, and Shock Transmission between the Forehand Stroke Technique of Experienced and Recreational Tennis Players Using a Novel Wearable Device
onnik Upper limb tennis injuries are primarily chronic, resulting from repetitive overuse. We developed a wearable device which simultaneously measures risk factors (grip strength, forearm muscle activity, and vibrational data) associated with elbow tendinopathy development resulting from tennis players’ technique. We tested the device on experienced (n = 18) and recreational (n = 22) tennis players hitting forehand cross-court at both flat and topspin spin levels under realistic playing conditions. Using statistical parametric mapping analysis, our results showed that all players showed a similar level o...
Source: Sensors - May 28, 2023 Category: Biotechnology Authors: Chantelle Jean Rigozzi Gareth A. Vio Philip Poronnik Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5113: Performance Tiers within a Competitive Age Group of Young Swimmers Are Characterized by Different Kinetic and Kinematic Behaviors
. Costa The present study aimed to analyze swimmers’ in-water kinetic and kinematic behaviors according to different swimming performance tiers within the same age group. An amount of 53 highly trained swimmers (girls and boys: 12.40 ± 0.74 years) were split up into 3 tiers based on their personal best performance (i.e., speed) in the 50 m freestyle event (short-course): lower-tier (1.25 ± 0.08 m·s−1); mid-tier (1.45 ± 0.04 m·s−1); and top-tier (1.60 ± 0.04 m·s&minus...
Source: Sensors - May 27, 2023 Category: Biotechnology Authors: Catarina C. Santos Nuno D. Garrido Francisco Cuenca-Fern ández Daniel A. Marinho M ário J. Costa Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5017: A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality
acqua Domenico Buongiorno The study of visuomotor adaptation (VMA) capabilities has been encompassed in various experimental protocols aimed at investigating human motor control strategies and/or cognitive functions. VMA-oriented frameworks can have clinical applications, primarily in the investigation and assessment of neuromotor impairments caused by conditions such as Parkinson’s disease or post-stroke, which affect the lives of tens of thousands of people worldwide. Therefore, they can enhance the understanding of the specific mechanisms of such neuromotor disorders, thus being a potential biomarker...
Source: Sensors - May 24, 2023 Category: Biotechnology Authors: Vladimiro Suglia Antonio Brunetti Guido Pasquini Mariapia Caputo Tommaso Maria Marvulli Elena Sibilano Sara Della Bella Paola Carrozza Chiara Beni David Naso Vito Monaco Giovanna Cristella Vitoantonio Bevilacqua Domenico Buongiorno Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4632: Accuracy of a Smartwatch to Assess Heart Rate Monitoring and Atrial Fibrillation in Stroke Patients
Conclusion: The FC5 was accurate at assessing the HR during SR, but the accuracy during AF was poor. In contrast, the IRN feature was acceptable for guiding decisions regarding AF screening in stroke patients.
Source: Sensors - May 10, 2023 Category: Biotechnology Authors: Claudia Meza Jesus Juega Jaume Francisco Alba Santos Laura Duran Maite Rodriguez Jose Alvarez-Sabin Laia Sero Xavier Ustrell Saima Bashir Joaqu ín Serena Yolanda Silva Carlos Molina Jorge Pagola Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4304: Performance-Based Robotic Training in Individuals with Subacute Stroke: Differences between Responders and Non-Responders
Jamin The high variability of upper limb motor recovery with robotic training (RT) in subacute stroke underscores the need to explore differences in responses to RT. We explored differences in baseline characteristics and the RT dose between responders (ΔFugl-Meyer Assessment (FMA) score ≥9 points; n = 20) and non-responders (n = 16) in people with subacute stroke (mean [SD] poststroke time at baseline, 54 (26) days, baseline FMA score, 23 (17) points) who underwent 16 RT sessions combined with conventional therapies. Baseline characteristics were compared between groups. During RT sessions, t...
Source: Sensors - April 26, 2023 Category: Biotechnology Authors: Oph élie Pila Christophe Duret Typhaine Koeppel Pascal Jamin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4042: Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot
Changcheng Shi Robot-assisted rehabilitation therapy has been proven to effectively improve upper-limb motor function in stroke patients. However, most current rehabilitation robotic controllers will provide too much assistance force and focus only on the patient’s position tracking performance while ignoring the patient’s interactive force situation, resulting in the inability to accurately assess the patient’s true motor intention and difficulty stimulating the patient’s initiative, thus negatively affecting the patient’s rehabilitation outcome....
Source: Sensors - April 17, 2023 Category: Biotechnology Authors: Yang Hu Jingyan Meng Guoning Li Dazheng Zhao Guang Feng Guokun Zuo Yunfeng Liu Jiaji Zhang Changcheng Shi Tags: Article 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 3829: First Ex Vivo Animal Study of a Biological Heart Valve Prosthesis Sensorized with Intravalvular Impedance
In this study, for the first time, we investigate ex vivo the IVI sensing applied to a BHV when it is surrounded by biological tissue, similar to a real implant condition. A commercial model of BHV was sensorized with three miniaturized electrodes embedded in the commissures of the valve leaflets and connected to an external impedance measurement unit. To perform ex vivo animal tests, the sensorized BHV was implanted in the aortic position of an explanted porcine heart, which was connected to a cardiac BioSimulator platform. The IVI signal was recorded in different dynamic cardiac conditions reproduced with the BioSimulato...
Source: Sensors - April 8, 2023 Category: Biotechnology Authors: Laura Cercenelli Camilla Gironi Barbara Bortolani Emanuela Marcelli Tags: Article Source Type: research