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Total 332 results found since Jan 2013.

Sensors, Vol. 20, Pages 5989: Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review
Bo The use of videogames and motion capture systems in rehabilitation contributes to the recovery of the patient. This systematic review aimed to explore the works related to these technologies. The PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses) was used to search the databases Scopus, PubMed, IEEE Xplore, and Web of Science, taking into consideration four aspects: physical rehabilitation, the use of videogames, motion capture technologies, and upper limb rehabilitation. The literature selection was limited to open access works published between 2015 and 2020, obtaining 19 article...
Source: Sensors - October 22, 2020 Category: Biotechnology Authors: Alarc ón-Aldana Callejas-Cuervo Bo Tags: Review Source Type: research

Sensors, Vol. 20, Pages 5876: Wearable Biofeedback Improves Human-Robot Compliance during Ankle-Foot Exoskeleton-Assisted Gait Training: A Pre-Post Controlled Study in Healthy Participants
Santos The adjunctive use of biofeedback systems with exoskeletons may accelerate post-stroke gait rehabilitation. Wearable patient-oriented human-robot interaction-based biofeedback is proposed to improve patient-exoskeleton compliance regarding the interaction torque’s direction (joint motion strategy) and magnitude (user participation strategy) through auditory and vibrotactile cues during assisted gait training, respectively. Parallel physiotherapist-oriented strategies are also proposed such that physiotherapists can follow in real-time a patient’s motor performance towards effective in...
Source: Sensors - October 17, 2020 Category: Biotechnology Authors: Cristiana Pinheiro Joana Figueiredo Nuno Magalh ães Cristina P. Santos Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5545: Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection
nluigi Tiberi In this paper, we present an investigation of different artefact removal methods for ultra-wideband Microwave Imaging (MWI) to evaluate and quantify current methods in a real environment through measurements using an MWI device. The MWI device measures the scattered signals in a multi-bistatic fashion and employs an imaging procedure based on Huygens principle. A simple two-layered phantom mimicking human head tissue is realised, applying a cylindrically shaped inclusion to emulate brain haemorrhage. Detection has been successfully achieved using the superimposition of five transmitter triplet positions, ...
Source: Sensors - September 27, 2020 Category: Biotechnology Authors: Behnaz Sohani James Puttock Banafsheh Khalesi Navid Ghavami Mohammad Ghavami Sandra Dudley Gianluigi Tiberi Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5487: The Feasibility of Longitudinal Upper Extremity Motor Function Assessment Using EEG
arlo Menon Motor function assessment is crucial in quantifying motor recovery following stroke. In the rehabilitation field, motor function is usually assessed using questionnaire-based assessments, which are not completely objective and require prior training for the examiners. Some research groups have reported that electroencephalography (EEG) data have the potential to be a good indicator of motor function. However, those motor function scores based on EEG data were not evaluated in a longitudinal paradigm. The ability of the motor function scores from EEG data to track the motor function changes in long-term clini...
Source: Sensors - September 24, 2020 Category: Biotechnology Authors: Xin Zhang Ryan D ’Arcy Long Chen Minpeng Xu Dong Ming Carlo Menon Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5235: Sensor Fusion in Assistive and Rehabilitation Robotics
ner As the world’s population gradually grows older, more and more adults are experiencing sensory–motor disabilities due to stroke, traumatic brain injury, spinal cord injury and other diseases [...]
Source: Sensors - September 13, 2020 Category: Biotechnology Authors: Domen Novak Robert Riener Tags: Editorial Source Type: research

Sensors, Vol. 20, Pages 4995: The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model
Cong As is known, cerebral stroke has become one of the main diseases endangering people’s health; ischaemic strokes accounts for approximately 85% of cerebral strokes. According to research, early prediction and prevention can effectively reduce the incidence rate of the disease. However, it is difficult to predict the ischaemic stroke because the data related to the disease are multi-modal. To achieve high accuracy of prediction and combine the stroke risk predictors obtained by previous researchers, a method for predicting the probability of stroke occurrence based on a multi-model fusion convolutiona...
Source: Sensors - September 2, 2020 Category: Biotechnology Authors: Yan Liu Bo Yin Yanping Cong Tags: Article Source Type: research

Sensors, Vol. 20, Pages 4770: Assessment of Upper Limb Movement Impairments after Stroke Using Wearable Inertial Sensing
H. Veltink Precise and objective assessments of upper limb movement quality after strokes in functional task conditions are an important prerequisite to improve understanding of the pathophysiology of movement deficits and to prove the effectiveness of interventions. Herein, a wearable inertial sensing system was used to capture movements from the fingers to the trunk in 10 chronic stroke subjects when performing reach-to-grasp activities with the affected and non-affected upper limb. It was investigated whether the factors, tested arm, object weight, and target height, affect the expressions of range of motion in tru...
Source: Sensors - August 23, 2020 Category: Biotechnology Authors: Anne Schwarz Miguel M. C. Bhagubai Gerjan Wolterink Jeremia P. O. Held Andreas R. Luft Peter H. Veltink Tags: Article Source Type: research

Sensors, Vol. 20, Pages 4545: Sensorized Assessment of Dynamic Locomotor Imagery in People with Stroke and Healthy Subjects
In conclusion, the instrumented approach through wearable motion devices adds significant information to the current dMI approach, further supporting their applications in neurorehabilitation for monitoring imagery training protocols in patients with stroke.
Source: Sensors - August 12, 2020 Category: Biotechnology Authors: Daniela De Bartolo Valeria Belluscio Giuseppe Vannozzi Giovanni Morone Gabriella Antonucci Gianluca Giordani Stefania Santucci Federica Resta Franco Marinozzi Fabiano Bini Stefano Paolucci Marco Iosa Tags: Article Source Type: research

Sensors, Vol. 20, Pages 4548: Development of a Diagnosis and Evaluation System for Hemiplegic Patients Post-Stroke Based on Motion Recognition Tracking and Analysis of Wrist Joint Kinematics
k Lee An inexperienced therapist lacks the analysis of a patient’s movement. In addition, the patient does not receive objective feedback from the therapist due to the visual subjective judgment. The aim is to provide a guide for in-depth rehabilitation therapy in virtual space by continuously tracking the user’s wrist joint during Leap Motion Controller (LMC) activities and present the basic data to confirm steady therapy results in real-time. The conventional Box and Block Test (BBT) is commonly used in upper extremity rehabilitation therapy. It was modeled in proportion to the actual size...
Source: Sensors - August 12, 2020 Category: Biotechnology Authors: Subok Kim Seoho Park Onseok Lee Tags: Letter Source Type: research

Sensors, Vol. 20, Pages 4323: A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals
en Su People with sleep apnea (SA) are at increased risk of having stroke and cardiovascular diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature selection from PSG signals and uses a support vector machine (SVM) to detect SA. To analyze SA, the Physionet Apnea Database was used to obtain various features. Electrocardiography (ECG), oxygen saturation (SaO2), airflow, abdominal, and thoracic signals were used to provide various frequency-, time-domain and non-linear features (n = 87). To analyse the significance of these features, firstly, two evaluation measures, the rank-sum method and the...
Source: Sensors - August 2, 2020 Category: Biotechnology Authors: Xilin Li Sai Ho Ling Steven Su Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3754: A Virtual Reality Muscle –Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study
Sensors, Vol. 20, Pages 3754: A Virtual Reality Muscle–Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study Sensors doi: 10.3390/s20133754 Authors: Octavio Marin-Pardo Christopher M. Laine Miranda Rennie Kaori L. Ito James Finley Sook-Lei Liew Severe impairment of limb movement after stroke can be challenging to address in the chronic stage of stroke (e.g., greater than 6 months post stroke). Recent evidence suggests that physical therapy can still promote meaningful recovery after this stage, but the required high amount of therapy is difficult to deliver within the scope of stan...
Source: Sensors - July 3, 2020 Category: Biotechnology Authors: Octavio Marin-Pardo Christopher M. Laine Miranda Rennie Kaori L. Ito James Finley Sook-Lei Liew Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3478: Repeatability of High-Pressure Measurement in a Diesel Engine Test Bed
Zarajczyk This paper addresses the issue of metrological accuracy of instantaneous in-cylinder pressure measurement in a diesel engine test bed. In studies, the central unit has been the single-cylinder AVL 5402 engine. The pressure measurement was performed with a sensor designed for thermodynamic analysis, and the results were related to the crank angle, where two rotations corresponding to the four-stroke working cycle were denoted as angles between −360° and +360°. The novelty of this paper is the proposition of how to perform a type A uncertainty estimation of the in-cylinder...
Source: Sensors - June 18, 2020 Category: Biotechnology Authors: Tomasz Skrzek Miros ław Rucki Krzysztof G órski Jonas Matijo šius Dalibor Barta Jacek Caban Janusz Zarajczyk Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3399: Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training
eorg Rose Functional electrical stimulation and robot-assisted gait training are techniques which are used in a clinical routine to enhance the rehabilitation process of stroke patients. By combining these technologies, therapy effects could be further improved and the rehabilitation process can be supported. In order to combine these technologies, a novel algorithm was developed, which aims to extract gait events based on movement data recorded with inertial measurement units. In perspective, the extracted gait events can be used to trigger functional electrical stimulation during robot-assisted gait training. This ap...
Source: Sensors - June 15, 2020 Category: Biotechnology Authors: Andreas Schicketmueller Juliane Lamprecht Marc Hofmann Michael Sailer Georg Rose Tags: Letter Source Type: research

Sensors, Vol. 20, Pages 3389: Online Gait Detection with an Automatic Mobile Trainer Inspired by Neuro-Developmental Treatment
Chen Fu This paper demonstrates the development of an automatic mobile trainer employing inertial movement units (IMUs). The device is inspired by Neuro-Developmental Treatment (NDT), which is an effective rehabilitation method for stroke patients that promotes the relearning of motor skills by repeated training. However, traditional NDT training is very labor intensive and time consuming for therapists, thus, stroke patients usually cannot receive sufficient rehabilitation training. Therefore, we developed a mobile assisted device that can automatically repeat the therapists’ intervention and help inc...
Source: Sensors - June 14, 2020 Category: Biotechnology Authors: Wang Li Wu Chen Fu Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3247: Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
nda Irrera Antonio Suppa Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders. This narrative review aims to address the topic of balance...
Source: Sensors - June 6, 2020 Category: Biotechnology Authors: Alessandro Zampogna Ilaria Mileti Eduardo Palermo Claudia Celletti Marco Paoloni Alessandro Manoni Ivan Mazzetta Gloria Dalla Costa Carlos P érez-López Filippo Camerota Letizia Leocani Joan Cabestany Fernanda Irrera Antonio Suppa Tags: Review Source Type: research