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Total 332 results found since Jan 2013.

Sensors, Vol. 22, Pages 1170: Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot
In this study, a desktop upper limb rehabilitation robot was designed and a quantitative evaluation system of upper limb motor function for stroke patients was proposed. The kinematics and dynamics data of stroke patients during active training were collected by sensors. Combined with the scores of patients’ upper limb motor function by rehabilitation doctors using the Wolf Motor Function Test (WMFT) scale, three different quantitative evaluation models of upper limb motor function based on Back Propagation Neural Network (BPNN), K-Nearest Neighbors (KNN), and Support Vector Regression (SVR) algorithms were e...
Source: Sensors - February 3, 2022 Category: Biotechnology Authors: Mingliang Zhang Jing Chen Zongquan Ling Bochao Zhang Yanxin Yan Daxi Xiong Liquan Guo Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1050: Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review
Maurits Stroke is a main cause of long-term disability worldwide, placing a large burden on individuals and health care systems. Wearable technology can potentially objectively assess and monitor patients outside clinical environments, enabling a more detailed evaluation of their impairment and allowing individualization of rehabilitation therapies. The aim of this review is to provide an overview of setups used in literature to measure movement of stroke patients under free living conditions using wearable sensors, and to evaluate the relation between such sensor-based outcomes and the level of functioning as assesse...
Source: Sensors - January 28, 2022 Category: Biotechnology Authors: Mariano Bernaldo de Quir ós E.H. Douma Inge van den Akker-Scheek Claudine J. C. Lamoth Natasha M. Maurits Tags: Review Source Type: research

Sensors, Vol. 22, Pages 1009: A Case Study of Upper Limb Robotic-Assisted Therapy Using the Track-Hold Device
Moroni The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlled and protected healthcare environment, contributes to the more general and broad context of Robotic-Assisted Therapy (RAT). RAT represents an advanced and innovative rehabilitation method, both motor and cognitive, and uses active, passive, and facilitating robotic devices. RAT devices can be equipped with sensors to detect and track voluntary and involuntary movements. They can work in synergy with multimedia protocols developed ad hoc to achieve the highest possible level of functional re-education. The THS is...
Source: Sensors - January 28, 2022 Category: Biotechnology Authors: Marco Righi Massimo Magrini Cristina Dolciotti Davide Moroni Tags: Article Source Type: research

Sensors, Vol. 22, Pages 831: CNN-Based Hand Grasping Prediction and Control via Postural Synergy Basis Extraction
Ai Jiwei Hu The prediction of hand grasping and control of a robotic manipulator for hand activity training is of great significance to assist stroke patients to recover their biomechanical functions. However, the human hand and the figure joints have multiple degrees of freedom; therefore, it is complex to process and analyze all the collected data in hand modeling. To simplify the description of grasping activities, it is necessary to extract and decompose the principal components of hand actions. In this paper, the relationships among hand grasping actions are explored by extracting the postural synergy basis of h...
Source: Sensors - January 22, 2022 Category: Biotechnology Authors: Quan Liu Mengnan Li Chaoyue Yin Guoming Qian Wei Meng Qingsong Ai Jiwei Hu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 824: Computation of Gait Parameters in Post Stroke and Parkinson & rsquo;s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems
Sensors, Vol. 22, Pages 824: Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems Sensors doi: 10.3390/s22030824 Authors: Veronica Cimolin Luca Vismara Claudia Ferraris Gianluca Amprimo Giuseppe Pettiti Roberto Lopez Manuela Galli Riccardo Cremascoli Serena Sinagra Alessandro Mauro Lorenzo Priano The accurate and reliable assessment of gait parameters is assuming an important role, especially in the perspective of designing new therapeutic and rehabilitation strategies for the remote follow-up of peopl...
Source: Sensors - January 21, 2022 Category: Biotechnology Authors: Veronica Cimolin Luca Vismara Claudia Ferraris Gianluca Amprimo Giuseppe Pettiti Roberto Lopez Manuela Galli Riccardo Cremascoli Serena Sinagra Alessandro Mauro Lorenzo Priano Tags: Article Source Type: research

Sensors, Vol. 22, Pages 104: A Real-Time Wearable Physiological Monitoring System for Home-Based Healthcare Applications
n Kim The acquisition of physiological data are essential to efficiently predict and treat cardiac patients before a heart attack occurs and effectively expedite motor recovery after a stroke. This goal can be achieved by using wearable wireless sensor network platforms for real-time healthcare monitoring. In this paper, we present a wireless physiological signal acquisition device and a smartphone-based software platform for real-time data processing and monitor and cloud server access for everyday ECG/EMG signal monitoring. The device is implemented in a compact size (diameter: 30 mm, thickness: 4.5 mm) where the bio...
Source: Sensors - December 24, 2021 Category: Biotechnology Authors: Jin-Woo Jeong Woochan Lee Young-Joon Kim Tags: Article Source Type: research

Sensors, Vol. 22, Pages 96: Artifacts in EEG-Based BCI Therapies: Friend or Foe?
In this study, we compare the relative classification accuracy with which different motor tasks can be decoded from both extracted brain activity and artifacts contained in the EEG signal. EEG data were collected from 17 chronic stroke patients while performing six different head, hand, and arm movements in a realistic VR-based neurorehabilitation paradigm. Results show that the artifactual component of the EEG signal is significantly more informative than brain activity with respect to classification accuracy. This finding is consistent across different feature extraction methods and classification pipelines. While inform...
Source: Sensors - December 24, 2021 Category: Biotechnology Authors: Eric James McDermott Philipp Raggam Sven Kirsch Paolo Belardinelli Ulf Ziemann Christoph Zrenner Tags: Article Source Type: research

Sensors, Vol. 21, Pages 8507: A Review on Computer Aided Diagnosis of Acute Brain Stroke
o U. Rajendra Acharya Amongst the most common causes of death globally, stroke is one of top three affecting over 100 million people worldwide annually. There are two classes of stroke, namely ischemic stroke (due to impairment of blood supply, accounting for ~70% of all strokes) and hemorrhagic stroke (due to bleeding), both of which can result, if untreated, in permanently damaged brain tissue. The discovery that the affected brain tissue (i.e., ‘ischemic penumbra’) can be salvaged from permanent damage and the bourgeoning growth in computer aided diagnosis has led to major advances in s...
Source: Sensors - December 20, 2021 Category: Biotechnology Authors: Mahesh Anil Inamdar Udupi Raghavendra Anjan Gudigar Yashas Chakole Ajay Hegde Girish R. Menon Prabal Barua Elizabeth Emma Palmer Kang Hao Cheong Wai Yee Chan Edward J. Ciaccio U. Rajendra Acharya Tags: Review Source Type: research

Sensors, Vol. 21, Pages 8504: Combining Action Observation Treatment with a Brain & ndash;Computer Interface System: Perspectives on Neurorehabilitation
Sensors, Vol. 21, Pages 8504: Combining Action Observation Treatment with a Brain–Computer Interface System: Perspectives on Neurorehabilitation Sensors doi: 10.3390/s21248504 Authors: Rossi Savi Prestia Mongardi Demarchi Buccino Action observation treatment (AOT) exploits a neurophysiological mechanism, matching an observed action on the neural substrates where that action is motorically represented. This mechanism is also known as mirror mechanism. In a typical AOT session, one can distinguish an observation phase and an execution phase. During the observation phase, the patient observes...
Source: Sensors - December 20, 2021 Category: Biotechnology Authors: Rossi Savi Prestia Mongardi Demarchi Buccino Tags: Perspective Source Type: research

Sensors, Vol. 21, Pages 8323: The Effect of Implanted Functional Electrical Stimulation on Gait Performance in Stroke Survivors: A Systematic Review
Stuart Cogan The emerging literature suggests that implantable functional electrical stimulation may improve gait performance in stroke survivors. However, there is no review providing the possible therapeutic effects of implanted functional electrical stimulation on gait performance in stroke survivors. We performed a web-based, systematic paper search using PubMed, the Cochrane Library, and EMBASE. We limited the search results to human subjects and papers published in peer-reviewed journals in English. We did not restrict demographic or clinical characteristics. We included 10 papers in the current systematic revie...
Source: Sensors - December 13, 2021 Category: Biotechnology Authors: Gu Eon Kang Rebecca Frederick Brandon Nunley Lawrence Lavery Yasin Dhaher Bijan Najafi Stuart Cogan Tags: Review Source Type: research

Sensors, Vol. 21, Pages 8175: Does The Score on the MRC Strength Scale Reflect Instrumented Measures of Maximal Torque and Muscle Activity in Post-Stroke Survivors?
This study aimed to evaluate whether the scores of the MRC strength scale are associated with instrumented measures of torque and muscle activity in post-stroke survivors with severe hemiparesis both before and after an intervention. Patients affected by a first ischemic or hemorrhagic stroke within 6 months before enrollment and with complete paresis were included in the study. The pre- and post-treatment assessments included the MRC strength scale, sEMG, and dynamometry assessment of the triceps brachii (TB) and biceps brachii (BB) as measures of maximal elbow extension and flexion torque, respectively. Proprioceptive-ba...
Source: Sensors - December 7, 2021 Category: Biotechnology Authors: Pawel Kiper Daniele Rimini Deborah Falla Alfonc Baba Sebastian Rutkowski Lorenza Maistrello Andrea Turolla Tags: Article Source Type: research

Sensors, Vol. 21, Pages 8099: Detection of Collaterals from Cone-Beam CT Images in Stroke
Sobri Muda Collateral vessels play an important role in the restoration of blood flow to the ischemic tissues of stroke patients, and the quality of collateral flow has major impact on reducing treatment delay and increasing the success rate of reperfusion. Due to high spatial resolution and rapid scan time, advance imaging using the cone-beam computed tomography (CBCT) is gaining more attention over the conventional angiography in acute stroke diagnosis. Detecting collateral vessels from CBCT images is a challenging task due to the presence of noises and artifacts, small-size and non-uniform structure of vessels. T...
Source: Sensors - December 3, 2021 Category: Biotechnology Authors: Azrina Abd Abd Aziz Lila Iznita Izhar Vijanth Sagayan Asirvadam Tong Boon Tang Azimah Ajam Zaid Omar Sobri Muda Tags: Article Source Type: research

Sensors, Vol. 21, Pages 8034: A Pilot Study Quantifying Center of Mass Trajectory during Dynamic Balance Tasks Using an HTC Vive Tracker Fixed to the Pelvis
mas Fall rates are increasing among the aging population and even higher falls rates have been reported in populations with neurological impairments. The Berg Balance Scale is often used to assess balance in older adults and has been validated for use in people with stroke, traumatic brain injury, and Parkinson’s disease. While the Berg Balance Scale (BBS) has been found to be predictive of the length of rehabilitation stay following stroke, a recent review concluded the BBS lacked predictive validity for fall risk. Conversely, sophisticated measures assessing center of mass (COM) displacement have shown ...
Source: Sensors - December 1, 2021 Category: Biotechnology Authors: Susanne M. van der Veen James S. Thomas Tags: Article Source Type: research

Sensors, Vol. 21, Pages 8002: Muscle Synergies and Clinical Outcome Measures Describe Different Factors of Upper Limb Motor Function in Stroke Survivors Undergoing Rehabilitation in a Virtual Reality Environment
a Turolla Recent studies have investigated muscle synergies as biomarkers for stroke, but it remains controversial if muscle synergies and clinical observation convey the same information on motor impairment. We aim to identify whether muscle synergies and clinical scales convey the same information or not. Post-stroke patients were administered an upper limb treatment. Before (T0) and after (T1) treatment, we assessed motor performance with clinical scales and motor output with EMG-derived muscle synergies. We implemented an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) to identify the und...
Source: Sensors - November 30, 2021 Category: Biotechnology Authors: Lorenza Maistrello Daniele Rimini Vincent C. K. Cheung Giorgia Pregnolato Andrea Turolla Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7784: Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning
alle Åström Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to detect unilateral arm paralysis, a hallmark symptom of stroke, early enough to receive treatment. Classical machine learning algorithms as well as state-of-the-art deep neural networks were evaluated on detectio...
Source: Sensors - November 23, 2021 Category: Biotechnology Authors: Johan Wasselius Eric Lyckeg ård Finn Emma Persson Petter Ericson Christina Brog årdh Arne G. Lindgren Teresa Ullberg Kalle Åström Tags: Article Source Type: research