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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 21, Pages 4482: NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks
tavo Nonato A large number of stroke survivors suffer from a significant decrease in upper extremity (UE) function, requiring rehabilitation therapy to boost recovery of UE motion. Assessing the efficacy of treatment strategies is a challenging problem in this context, and is typically accomplished by observing the performance of patients during their execution of daily activities. A more detailed assessment of UE impairment can be undertaken with a clinical bedside test, the UE Fugl–Meyer Assessment, but it fails to examine compensatory movements of functioning body segments that are used to bypass impairment. In th...
Source: Sensors - June 30, 2021 Category: Biotechnology Authors: Rodrigo Colnago Contreras Avinash Parnandi Bruno Gomes Coelho Claudio Silva Heidi Schambra Luis Gustavo Nonato Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4372: Assist-As-Needed Exoskeleton for Hand Joint Rehabilitation Based on Muscle Effort Detection
olorado Robotic-assisted systems have gained significant traction in post-stroke therapies to support rehabilitation, since these systems can provide high-intensity and high-frequency treatment while allowing accurate motion-control over the patient’s progress. In this paper, we tackle how to provide active support through a robotic-assisted exoskeleton by developing a novel closed-loop architecture that continually measures electromyographic signals (EMG), in order to adjust the assistance given by the exoskeleton. We used EMG signals acquired from four patients with post-stroke hand impairments for training machine...
Source: Sensors - June 26, 2021 Category: Biotechnology Authors: Jenny Carolina Castiblanco Ivan Fernando Mondragon Catalina Alvarado-Rojas Julian D. Colorado Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4353: Whole-Body Movements Increase Arm Use Outcomes of Wrist-Worn Accelerometers in Stroke Patients
This study investigates to what extent arm use measurements with wrist-worn accelerometers are affected by whole-body movements. Assuming that arm movements during whole-body movements are non-functional, we quantify the effect of whole-body movements by comparing two methods: Arm use measured with wrist-worn accelerometers during all whole-body postures and movements (P&M method), and during sitting/standing only (sit/stand method). We have performed a longitudinal observational cohort study with measurements in 33 stroke patients during weeks 3, 12, and 26 poststroke. The P&M method shows higher d...
Source: Sensors - June 25, 2021 Category: Biotechnology Authors: Gerrit Ruben Hendrik Regterschot Ruud W. Selles Gerard M. Ribbers Johannes B. J. Bussmann Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4269: Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals
Jae-Hak Yu The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and covid-19 has also led to a contactless trend necessitating more non-face-to-face health services. Due to the improvements that have been achieved in healthcare technologies, an increasing number of studies have attempted to predict and analyze certain diseases in advance. Research on stroke diseases is actively underway, particularly with the aging population. Stroke, which is fatal to the elderl...
Source: Sensors - June 22, 2021 Category: Biotechnology Authors: Yoon-A Choi Se-Jin Park Jong-Arm Jun Cheol-Sig Pyo Kang-Hee Cho Han-Sung Lee Jae-Hak Yu Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4066: Wearable Activity Monitoring in Day-to-Day Stroke Care: A Promising Tool but Not Widely Used
In conclusion, although the concept of remote activity monitoring was perceived as useful, it was not widely adopted by physical therapists involved in stroke care. To date, skills, beliefs, and attitudes of individual therapists determine the current use of wearable technology.
Source: Sensors - June 12, 2021 Category: Biotechnology Authors: Hanneke E. M. Braakhuis Johannes B. J. Bussmann Gerard M. Ribbers Monique A. M. Berger Tags: Communication Source Type: research

Sensors, Vol. 21, Pages 3870: Creating a Scoring System with an Armband Wearable Device for Table Tennis Forehand Loop Training: Combined Use of the Principal Component Analysis and Artificial Neural Network
Conclusion: The developed system can provide useful information to quantify expert-novice differences in fore-hand loop skills.
Source: Sensors - June 3, 2021 Category: Biotechnology Authors: Wen-Lan Wu Jing-Min Liang Chien-Fei Chen Kuei-Lan Tsai Nian-Shing Chen Kuo-Chin Lin Ing-Jer Huang Tags: Communication Source Type: research

Sensors, Vol. 21, Pages 3833: A Novel Muscle Synergy Extraction Method Used for Motor Function Evaluation of Stroke Patients: A Pilot Study
In this study, MCR-ALS was employed to extract muscle synergy from electromyography (EMG) data. Its performance was compared with two other matrix factorization algorithms, NMF and self-modeling mixture analysis (SMMA). Simulated data sets were utilized to explore the influences of the sparseness and noise on the extracted synergies. As a result, the synergies estimated by MCR-ALS were the most similar to true synergies as compared with SMMA and NMF. MCR-ALS was used to analyze the muscle synergy characteristics of upper limb movements performed by healthy (n = 11) and stroke (n = 5) subjects. The repeatability and intra-s...
Source: Sensors - June 1, 2021 Category: Biotechnology Authors: Yehao Ma Changcheng Shi Jialin Xu Sijia Ye Huilin Zhou Guokun Zuo Tags: Article Source Type: research

Sensors, Vol. 21, Pages 3814: Recent Research for Unobtrusive Atrial Fibrillation Detection Methods Based on Cardiac Dynamics Signals: A Survey
Ziyu Zhu Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity and mortality of AF have been progressively increasing over the past few decades, which has raised widespread concern about unobtrusive AF detection in routine life. The up-to-date non-invasive AF detection methods include electrocardiogram (ECG) signals and cardiac dynamics signals, such as the ballistocardiogram (BCG) signal, the seismocardiogram (SCG) signal and the photoplethysmogram (PPG) signal. Cardiac dynamics signals ...
Source: Sensors - May 31, 2021 Category: Biotechnology Authors: Fangfang Jiang Yihan Zhou Tianyi Ling Yanbing Zhang Ziyu Zhu Tags: Review Source Type: research

Sensors, Vol. 21, Pages 3444: Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases
Chiara Carrozza Wearable devices are used in rehabilitation to provide biofeedback about biomechanical or physiological body parameters to improve outcomes in people with neurological diseases. This is a promising approach that influences motor learning and patients’ engagement. Nevertheless, it is not yet clear what the most commonly used sensor configurations are, and it is also not clear which biofeedback components are used for which pathology. To explore these aspects and estimate the effectiveness of wearable device biofeedback rehabilitation on balance and gait, we conducted a systematic review by electronic s...
Source: Sensors - May 15, 2021 Category: Biotechnology Authors: Thomas Bowman Elisa Gervasoni Chiara Arienti Stefano Giuseppe Lazzerini Stefano Negrini Simona Crea Davide Cattaneo Maria Chiara Carrozza Tags: Systematic Review Source Type: research

Sensors, Vol. 21, Pages 3130: A System for Neuromotor Based Rehabilitation on a Passive Robotic Aid
Moroni In the aging world population, the occurrence of neuromotor deficits arising from stroke and other medical conditions is expected to grow, demanding the design of new and more effective approaches to rehabilitation. In this paper, we show how the combination of robotic technologies with progress in exergaming methodologies may lead to the creation of new rehabilitation protocols favoring motor re-learning. To this end, we introduce the Track-Hold system for neuromotor rehabilitation based on a passive robotic arm and integrated software. A special configuration of weights on the robotic arm fully balances the w...
Source: Sensors - April 30, 2021 Category: Biotechnology Authors: Marco Righi Massimo Magrini Cristina Dolciotti Davide Moroni Tags: Article Source Type: research

Sensors, Vol. 21, Pages 3121: Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks
Klemke Beginner table-tennis players require constant real-time feedback while learning the fundamental techniques. However, due to various constraints such as the mentor’s inability to be around all the time, expensive sensors and equipment for sports training, beginners are unable to get the immediate real-time feedback they need during training. Sensors have been widely used to train beginners and novices for various skills development, including psychomotor skills. Sensors enable the collection of multimodal data which can be utilised with machine learning to classify training mistakes, give feedback, and furthe...
Source: Sensors - April 30, 2021 Category: Biotechnology Authors: Khaleel Asyraaf Mat Sanusi Daniele Di Mitri Bibeg Limbu Roland Klemke Tags: Article Source Type: research

Sensors, Vol. 21, Pages 2790: Upper Limb Rehabilitation Tools in Virtual Reality Based on Haptic and 3D Spatial Recognition Analysis: A Pilot Study
This study analyzed the upper limb and cognitive rehabilitation of able-boded people in three-dimensional space in a virtual environment; the performance difficulty could be controlled through variations in rehabilitation models.
Source: Sensors - April 15, 2021 Category: Biotechnology Authors: Eun Bin Kim Songee Kim Onseok Lee Tags: Article Source Type: research

Sensors, Vol. 21, Pages 2479: Actigraphic Measurement of the Upper Limbs for the Prediction of Ischemic Stroke Prognosis: An Observational Study
Conclusions: Sensor-based parameters might provide useful information for predicting ischemic stroke prognosis in the acute phase.
Source: Sensors - April 2, 2021 Category: Biotechnology Authors: Giuseppe Reale Silvia Giovannini Chiara Iacovelli Stefano Filippo Castiglia Pietro Picerno Aurelia Zauli Marco Rabuffetti Maurizio Ferrarin Giulio Maccauro Pietro Caliandro Tags: Article Source Type: research

Sensors, Vol. 21, Pages 2134: A Sensor-Based Multichannel FES System to Control Knee Joint and Reduce Stance Phase Asymmetry in Post-Stroke Gait
In this study, 11 participants were equipped with inertial measurements units (IMU) and foot pressure insoles after supratentorial ischemic or hemorrhagic stroke, informing on knee angle and gait events used to online adapt FES during a 10 m walking protocol. Asymmetry of stance time and weight bearing were monitored as well as gait quality and physiological cost through a series of relevant markers. Vertical trunk motion has been significantly reduced during gait with FES (p-value = 0.038). Despite no significant improvement of stance phase asymmetry has been found, this preliminary work shows evidence of promising techni...
Source: Sensors - March 18, 2021 Category: Biotechnology Authors: Beno ît Sijobert Christine Azevedo Joanna Pontier Sahara Graf Charles Fattal Tags: Article Source Type: research

Sensors, Vol. 21, Pages 2084: Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges
Astaras Recent advances in the field of neural rehabilitation, facilitated through technological innovation and improved neurophysiological knowledge of impaired motor control, have opened up new research directions. Such advances increase the relevance of existing interventions, as well as allow novel methodologies and technological synergies. New approaches attempt to partially overcome long-term disability caused by spinal cord injury, using either invasive bridging technologies or noninvasive human–machine interfaces. Muscular dystrophies benefit from electromyography and novel sensors that shed light on under...
Source: Sensors - March 16, 2021 Category: Biotechnology Authors: Nizamis Athanasiou Almpani Dimitrousis Astaras Tags: Review Source Type: research