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Total 332 results found since Jan 2013.

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 1289: Time-Based and Path-Based Analysis of Upper-Limb Movements during Activities of Daily Living
Mihelj Patients after stroke need to re-learn functional movements required for independent living throughout the rehabilitation process. In the study, we used a wearable sensory system for monitoring the movement of the upper limbs while performing activities of daily living. We implemented time-based and path-based segmentation of movement trajectories and muscle activity to quantify the activities of the unaffected and the affected upper limbs. While time-based segmentation splits the trajectory in quants of equal duration, path-based segmentation isolates completed movements. We analyzed the hand movement path and ...
Source: Sensors - January 23, 2023 Category: Biotechnology Authors: Sebastjan Šlajpah Eva Čebašek Marko Munih Matja ž Mihelj Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1161: Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction
In this study, a supervised ML-based methodology is presented through which we aim to design efficient prediction models for CVD manifestation, highlighting the SMOTE technique’s superiority. Detailed analysis and understanding of risk factors are shown to explore their importance and contribution to CVD prediction. These factors are fed as input features to a plethora of ML models, which are trained and tested to identify the most appropriate for our objective under a binary classification problem with a uniform class probability distribution. Various ML models were evaluated after the use or non-use of Synt...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Elias Dritsas Maria Trigka Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1136: Pleasant Stroke Touch on Human Back by a Human and a Robot
Tsukasa Ogasawara Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can perform this kind of pleasant touch. However, it remains unclear whether robots can provide such a pleasant touch in a manner similar to humans. To investigate this issue, we compared the effect of the speed of gentle strokes on the back between human and robot agents on the emotional responses of human participants (n = 28). A robot or a human stroked on the...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Tomoki Ishikura Yuki Kitamura Wataru Sato Jun Takamatsu Akishige Yuguchi Sung-Gwi Cho Ming Ding Sakiko Yoshikawa Tsukasa Ogasawara Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1069: New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables
Tsanas Actigraphy may provide new insights into clinical outcomes and symptom management of patients through passive, continuous data collection. We used the GENEActiv smartwatch to passively collect actigraphy, wrist temperature, and ambient light data from 27 participants after stroke or probable brain transient ischemic attack (TIA) over 42 periods of device wear. We computed 323 features using established algorithms and proposed 25 novel features to characterize sleep and temperature. We investigated statistical associations between the extracted features and clinical outcomes evaluated using clinically validated ...
Source: Sensors - January 17, 2023 Category: Biotechnology Authors: Katherine Edgley Ho-Yan Yvonne Chun William N. Whiteley Athanasios Tsanas Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1060: A Wireless Rowing Measurement System for Improving the Rowing Performance of Athletes
Schmidt The rowing technique is a key factor in the overall rowing performance. Nowadays the athletes’ performance is so advanced that even small differences in technique can have an impact on sport competitions. To further improve the athletes’ performance, individualized rowing is necessary. This can be achieved by intelligent measurement technology that provides direct feedback. To address this issue, we developed a novel wireless rowing measurement system (WiRMS) that acquires rowing movement and measures muscle activity using electromyography (EMG). Our measurement system is able to mea...
Source: Sensors - January 17, 2023 Category: Biotechnology Authors: Richard Hohmuth Daniel Schwensow Hagen Malberg Martin Schmidt Tags: Article Source Type: research

Sensors, Vol. 23, Pages 891: Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data
Alan Godfrey Fall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measurement unit (IMU)-based wearables are used to inform free-living spatio-temporal gait characteristics to inform mobility assessment. Typically, a fluctuation of those characteristics will infer an increased fall risk. However, current approaches with IMUs alone remain limited, as there are no contextual data to comprehensively determine if underlying mechanistic (intrinsic) or environmental (extrinsic) factors impact mobility and, therefore, fall risk. Here, a case study is used to explore and discuss how c...
Source: Sensors - January 12, 2023 Category: Biotechnology Authors: Jason Moore Samuel Stuart Peter McMeekin Richard Walker Yunus Celik Matthew Pointon Alan Godfrey Tags: Case Report Source Type: research

Sensors, Vol. 23, Pages 866: Automatic Identification of Involuntary Muscle Activity in Subacute Patients with Upper Motor Neuron Lesion at Rest & mdash;A Validation Study
In this study, we computed sensitivity (Se), specificity (Sp), and overall accuracy (Acc) of this algorithm by comparing it with the classification provided by two expert assessors. Based on sample size estimation, 6020 10 s-long sEMG epochs were classified by both the algorithm and the assessors. Epochs were randomly extracted from long-lasting sEMG signals collected in-field from 14 biceps brachii (BB) muscles of 10 patients (5F, age range 50–71 years) hospitalized in an acute rehabilitation ward following a stroke or a post-anoxic coma and complete upper limb (UL) paralysis. Among the 14 BB muscles assesse...
Source: Sensors - January 12, 2023 Category: Biotechnology Authors: Andrea Merlo Isabella Campanini Tags: Article Source Type: research

Sensors, Vol. 23, Pages 857: A Comparative Investigation of Automatic Speech Recognition Platforms for Aphasia Assessment Batteries
Qiang Fang The rehabilitation of aphasics is fundamentally based on the assessment of speech impairment. Developing methods for assessing speech impairment automatically is important due to the growing number of stroke cases each year. Traditionally, aphasia is assessed manually using one of the well-known assessment batteries, such as the Western Aphasia Battery (WAB), the Chinese Rehabilitation Research Center Aphasia Examination (CRRCAE), and the Boston Diagnostic Aphasia Examination (BDAE). In aphasia testing, a speech-language pathologist (SLP) administers multiple subtests to assess people with aphasia (PWA). Th...
Source: Sensors - January 11, 2023 Category: Biotechnology Authors: Seedahmed S. Mahmoud Raphael F. Pallaud Akshay Kumar Serri Faisal Yin Wang Qiang Fang 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 675: A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition
er-Laskowska The accurate detection of fiducial points in the impedance cardiography signal (ICG) has a decisive impact on the proper estimation of diagnostic parameters such as stroke volume or cardiac output. It is, therefore, necessary to find an algorithm that is able to assess their positions with great precision. The solution to this problem is, however, quite challenging with regard to the high sensitivity of the ICG technique to the noise and varying morphology of the acquired signals. The aim of this study is to propose a novel method that allows us to overcome these limitations. The developed algorithm is bas...
Source: Sensors - January 6, 2023 Category: Biotechnology Authors: Paulina Trybek Ewelina Sobotnicka Agata Wawrzkiewicz-Ja łowiecka Łukasz Machura Daniel Feige Aleksander Sobotnicki Monika Richter-Laskowska Tags: Article Source Type: research

Sensors, Vol. 23, Pages 643: An Effective Framework for Deep-Learning-Enhanced Quantitative Microwave Imaging and Its Potential for Medical Applications
rocco Microwave imaging is emerging as an alternative modality to conventional medical diagnostics technologies. However, its adoption is hindered by the intrinsic difficulties faced in the solution of the underlying inverse scattering problem, namely non-linearity and ill-posedness. In this paper, an innovative approach for a reliable and automated solution of the inverse scattering problem is presented, which combines a qualitative imaging technique and deep learning in a two-step framework. In the first step, the orthogonality sampling method is employed to process measurements of the scattered field into an image, ...
Source: Sensors - January 6, 2023 Category: Biotechnology Authors: Álvaro Yago Ruiz Marta Cavagnaro Lorenzo Crocco 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 536: A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review
This study aims to review current trends in the application of sensing mechanisms in remote monitoring and rehabilitation in neurological diseases, and to provide clinical insights to develop bespoke sensing mechanisms. A systematic search was performed using the PubMED database to identify 16 papers published for the period between 2018 to 2022. Teleceptive sensors (56%) were utilized more often than wearable proximate sensors (50%). The most commonly used modality was infrared (38%) and acceleration force (38%), followed by RGB color, EMG, light and temperature, and radio signal. The strategy adopted to improve the sensi...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Jia Min Yen Jeong Hoon Lim Tags: Review Source Type: research

Sensors, Vol. 23, Pages 424: Validation of SuPerSense, a Sensorized Surface for the Evaluation of Posture Perception in Supine Position
This study aimed to validate a sensorized version of a perceptive surface that may be used for the early assessment of misperception of body midline representation in subjects with right stroke, even when they are not yet able to stand in an upright posture. This device, called SuPerSense, allows testing of the load distribution of the body weight on the back in a supine position. The device was tested in 15 patients with stroke, 15 age-matched healthy subjects, and 15 young healthy adults, assessing three parameters analogous to those conventionally extracted by a baropodometric platform in a standing posture. Subjects we...
Source: Sensors - December 30, 2022 Category: Biotechnology Authors: Daniela De Bartolo Ilaria D ’amico Marco Iosa Fabio Aloise Giovanni Morone Franco Marinozzi Fabiano Bini Stefano Paolucci Ennio Spadini Tags: Article Source Type: research