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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 23, Pages 3487: Assessment of Passive Upper Limb Stiffness and Its Function in Post-Stroke Individuals Wearing an Inertial Sensor during the Pendulum Test
This article proposes the evaluation of the passive movement of the affected elbow during the pendulum test in people with stroke and its correlation with the main clinical scales (Modified Ashworth Scale, Motor Activity Log, and Fulg Meyer). An inertial sensor was attached to the forearm of seven subjects, who then passively flexed and extended the elbow. Joint angles and variables that indicate viscoelastic properties, stiffness (K), damping (B), E1 amp, F1 amp, and relaxation indices were collected. The results show that the FM scale is significantly correlated with the natural frequency (p = 0.024). The MAL amount-of-u...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Milene Soares Nogueira de Lima Clarissa Cardoso dos Santos Couto Paz Thais Gontijo Ribeiro Emerson Fachin-Martins Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3481: Quantification and Rehabilitation of Unilateral Spatial Neglect in Immersive Virtual Reality: A Validation Study in Healthy Subjects
In this study, we compared the effects of virtual and real prisms in healthy subjects and evaluated the performance of our virtual reality tool (HTC Vive) against a validated motion capture tool. Ten healthy subjects were randomly exposed to virtual and real prisms, and measurements were taken before and after exposure. Our findings indicate that virtual prisms are at least as effective as real prisms in inducing aftereffects (4.39° ± 2.91° with the virtual prisms compared to 4.30° ± 3.49° with the real prisms), but that these effects were not su...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Germain Faity Yasmine Sidahmed Isabelle Laffont J érôme Froger Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3500: A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform
il Roushdy Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care that patients receive at home remotely and the successful establishment of smart living environments. Building a real AI for mobile AI in an integrated smart hospital environment is a challenging problem due to the complexities of receiving IoT medical sensors data, data analysis, and deep learning algorithm complexity programming for mobile AI engine implementa...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Bassant M. Elbagoury Luige Vladareanu Victor Vl ădăreanu Abdel Badeeh Salem Ana-Maria Travediu Mohamed Ismail Roushdy Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3463: Patient & ndash;Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System
Sensors, Vol. 23, Pages 3463: Patient–Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System Sensors doi: 10.3390/s23073463 Authors: Giuseppe Placidi Alessandro Di Matteo Daniele Lozzi Matteo Polsinelli Eleni Theodoridou Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the tasks it uses are reproducible. When combined with assistive technologies, such as robots, virtual reality, tracking systems, or a combination of them, it can also allow the recording of a patient’s progression and rehabilitat...
Source: Sensors - March 25, 2023 Category: Biotechnology Authors: Giuseppe Placidi Alessandro Di Matteo Daniele Lozzi Matteo Polsinelli Eleni Theodoridou Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3396: Mobile App Interventions for Parkinson & rsquo;s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review
Sensors, Vol. 23, Pages 3396: Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review Sensors doi: 10.3390/s23073396 Authors: Andreas Triantafyllidis Sofia Segkouli Stelios Zygouris Christina Michailidou Konstantinos Avgerinakis Evangelia Fappa Sophia Vassiliades Anastasia Bougea Nikos Papagiannakis Ioannis Katakis Evangelos Mathioudis Alexandru Sorici Lidia Bajenaru Valentina Tageo Francesco Camonita Christoniki Magga-Nteve Stefanos Vrochidis Ludovico Pedullà Giampaolo Brichetto Panagiotis Tsakanikas Konstantinos...
Source: Sensors - March 23, 2023 Category: Biotechnology Authors: Andreas Triantafyllidis Sofia Segkouli Stelios Zygouris Christina Michailidou Konstantinos Avgerinakis Evangelia Fappa Sophia Vassiliades Anastasia Bougea Nikos Papagiannakis Ioannis Katakis Evangelos Mathioudis Alexandru Sorici Lidia Bajenaru Valentina T Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3291: Measures of Maximal Tactile Pressures during a Sustained Grasp Task Using a TactArray Device Have Satisfactory Reliability and Concurrent Validity in People with Stroke
This study found that measures of reliability assessed by changes in means were good, coefficients of variation were good to acceptable, and ICCs were very good for maximal tactile pressures using the average pressure of the mean of three trials over 8 s in the affected hand with and without vision for within-day sessions and without vision for between-day sessions. In the less affected hand, changes in mean were very good, coefficients of variations were acceptable, and ICCs were good to very good for maximal tactile pressures using the average pressure of the mean of three trials over 8 s and 5 s, respectively, in betwee...
Source: Sensors - March 20, 2023 Category: Biotechnology Authors: Urvashy Gopaul Derek Laver Leeanne Carey Thomas Matyas Paulette van Vliet Robin Callister Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3281: NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform
Conclusions: Subsequent design improvements will implement additional absolute orientation sensors, MARG/EMG based biofeedback to the game, improved immersion through Augmented Reality and improvements towards system robustness.
Source: Sensors - March 20, 2023 Category: Biotechnology Authors: Konstantinos Mitsopoulos Vasiliki Fiska Konstantinos Tagaras Athanasios Papias Panagiotis Antoniou Konstantinos Nizamis Konstantinos Kasimis Paschalina-Danai Sarra Diamanto Mylopoulou Theodore Savvidis Apostolos Praftsiotis Athanasios Arvanitidis George L Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3089: Effects of Upper Limb Robot-Assisted Rehabilitation Compared with Conventional Therapy in Patients with Stroke: Preliminary Results on a Daily Task Assessed Using Motion Analysis
Aprile Robotic rehabilitation of the upper limb has demonstrated promising results in terms of the improvement of arm function in post-stroke patients. The current literature suggests that robot-assisted therapy (RAT) is comparable to traditional approaches when clinical scales are used as outcome measures. Instead, the effects of RAT on the capacity to execute a daily life task with the affected upper limb are unknown, as measured using kinematic indices. Through kinematic analysis of a drinking task, we examined the improvement in upper limb performance between patients following a robotic or conventional 30-session...
Source: Sensors - March 13, 2023 Category: Biotechnology Authors: Marco Germanotta Laura Cortellini Sabina Insalaco Irene Aprile Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2656: Laboratory-Based Examination of the Reliability and Validity of Kinematic Measures of Wrist and Finger Function Collected by a Telerehabilitation System in Persons with Chronic Stroke
Gerard Fluet We have developed the New Jersey Institute of Technology—Home Virtual Rehabilitation System (NJIT—HoVRS) to facilitate intensive, hand-focused rehabilitation in the home. We developed testing simulations with the goal of providing richer information for clinicians performing remote assessments. This paper presents the results of reliability testing examining differences between in-person and remote testing as well as discriminatory and convergent validity testing of a battery of six kinematic measures collected with NJIT—HoVRS. Two different groups of persons wi...
Source: Sensors - February 28, 2023 Category: Biotechnology Authors: Ashley MontJohnson Amanda Cronce Qinyin Qiu Jigna Patel Mee Eriksson Alma Merians Sergei Adamovich Gerard Fluet Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2592: Modeling of Rapid Pam Systems Based on Electrothermal Micromirror for High-Resolution Facial Angiography
huqing Wang In this paper, a portable photoacoustic microscopy (PAM) system is proposed based on a large stroke electrothermal micromirror to achieve high resolution and fast imaging. The crucial micromirror in the system realizes a precise and efficient 2-axis control. Two different designs of electrothermal actuators with “O” and “Z” shape are evenly located around the four directions of mirror plate. With a symmetrical structure, the actuator realized single direction drive only. The finite element modelling of both two proposed micromirror has realized a large...
Source: Sensors - February 26, 2023 Category: Biotechnology Authors: Yuanlin Xia Yujie Wang Tianxiang Liang Zhen Peng Liang He Zhuqing Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2573: Design Principle and Proofing of a New Smart Textile Material That Acts as a Sensor for Immobility in Severe Bed-Confined Patients
We describe the textile composition and circuit design as well as the preliminary data collected during testing to demonstrate the validity of the complete solution. These results suggest that the smart textile sheet is a very sensitive pressure sensor and can provide continuous discriminatory information to allow for the very sensitive, real-time detection of immobility.
Source: Sensors - February 25, 2023 Category: Biotechnology Authors: Bogdan Florin Iliescu Vlad Niki Mancasi Ionut Dumitru Ilie Iulian Mancasi Bogdan Costachescu Daniel Ilie Rotariu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2526: Repeatability and Temporal Consistency of Lower Limb Biomechanical Variables Expressing Interlimb Coordination during the Double-Support Phase in People with and without Stroke Sequelae
eia S. P. Sousa Reliable biomechanical methods to assess interlimb coordination during the double-support phase in post-stroke subjects are needed for assessing movement dysfunction and related variability. The data obtained could provide a significant contribution for designing rehabilitation programs and for their monitorisation. The present study aimed to determine the minimum number of gait cycles needed to obtain adequate values of repeatability and temporal consistency of lower limb kinematic, kinetic, and electromyographic parameters during the double support of walking in people with and without stroke sequelae...
Source: Sensors - February 24, 2023 Category: Biotechnology Authors: Ana G. B. Couto M ário A. P. Vaz Liliana Pinho Jos é Félix Juliana Moreira Francisco Pinho In ês Albuquerque Mesquita Ant ónio Mesquita Montes Carlos Crasto Andreia S. P. Sousa Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2232: Video-based Goniometer Applications for Measuring Knee Joint Angles during Walking in Neurological Patients: A Validity, Reliability and Usability Study
This study discussed goniometer applications (DrGoniometer and Angles - Video Goniometer) that measure knee joint ROM during walking through smartphone cameras. The primary aim of the study is to test the inter-rater and intra-rater reliability of the collected measurements as well as their concurrent validity with an electro-goniometer. The secondary aim is to evaluate the usability of the two mobile applications. A total of 22 patients with Parkinson’s disease (18 males, age 72 (8) years), 22 post-stroke patients (17 males, age 61 (13) years), and as many healthy volunteers (8 males, age 45 (5) years) under...
Source: Sensors - February 16, 2023 Category: Biotechnology Authors: Monica Parati Matteo Gallotta Beatrice De Maria Annalisa Pirola Matteo Morini Luca Longoni Emilia Ambrosini Giorgio Ferriero Simona Ferrante Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2031: On the Role of Training Data for SVM-Based Microwave Brain Stroke Detection and Classification
o Marco Salucci The aim of this work was to test microwave brain stroke detection and classification using support vector machines (SVMs). We tested how the nature and variability of training data and system parameters impact the achieved classification accuracy. Using experimentally verified numerical models, a large database of synthetic training and test data was created. The models consist of an antenna array surrounding reconfigurable geometrically and dielectrically realistic human head phantoms with virtually inserted strokes of arbitrary size, and different dielectric parameters in different positions. The ge...
Source: Sensors - February 10, 2023 Category: Biotechnology Authors: Tomas Pokorny Jan Vrba Ondrej Fiser David Vrba Tomas Drizdal Marek Novak Luca Tosi Alessandro Polo Marco Salucci Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1900: Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal
This study used 19 EEG channels recorded from normal elderly, post-stroke with mild cognitive impairment, and post-stroke with dementia. The QEEG method used for feature extraction includes relative power, coherence, and signal complexity; the evaluation performance of normal-mild cognitive impairment-dementia classification was conducted using Support Vector Machine and K-Nearest Neighbor. The results of the classification simulation showed the highest accuracy of 96% by Gaussian SVM with a sensitivity and specificity of 95.6% and 97.9%, respectively. This study is expected to be an additional criterion in the diagnosis o...
Source: Sensors - February 8, 2023 Category: Biotechnology Authors: Sugondo Hadiyoso Hasballah Zakaria Paulus Anam Ong Tati Latifah Erawati Rajab Tags: Article Source Type: research