Filtered By:
Source: Sensors

This page shows you your search results in order of date. This is page number 12.

Order by Relevance | Date

Total 332 results found since Jan 2013.

Sensors, Vol. 21, Pages 5945: Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors
This study aims to estimate, using a single RGB-D sensor, gait patterns and parameters on a short walkway. This solution may be suitable for monitoring the improvement or worsening of gait disorders, including in domestic and unsupervised scenarios. For this purpose, some of the most relevant spatiotemporal parameters, estimated by the proposed solution on a cohort of post-stroke individuals, were compared with those estimated by a gold standard system for a simultaneous instrumented 3D gait analysis. Preliminary results indicate good agreement, accuracy, and correlation between the gait parameters estimated by the two sys...
Source: Sensors - September 4, 2021 Category: Biotechnology Authors: Claudia Ferraris Veronica Cimolin Luca Vismara Valerio Votta Gianluca Amprimo Riccardo Cremascoli Manuela Galli Roberto Nerino Alessandro Mauro Lorenzo Priano Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5932: Reliability and Validity of the CORE Sensor to Assess Core Body Temperature during Cycling Exercise
In conclusion, the results obtained do not support the manufacturer’s claim that the CORE sensor provides a valid measure of core body temperature.
Source: Sensors - September 3, 2021 Category: Biotechnology Authors: Nina Verdel Tim Podlogar Ur ša Ciuha Hans-Christer Holmberg Tadej Debevec Matej Supej Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5926: Proof-of-Concept of a Sensor-Based Evaluation Method for Better Sensitivity of Upper-Extremity Motor Function Assessment
ong-Hyun Kim In rehabilitation, the Fugl–Meyer assessment (FMA) is a typical clinical instrument to assess upper-extremity motor function of stroke patients, but it cannot measure fine changes of motor function (both in recovery and deterioration) due to its limited sensitivity. This paper introduces a sensor-based automated FMA system that addresses this limitation with a continuous rating algorithm. The system consists of a depth sensor (Kinect V2) and an algorithm to rate the continuous FM scale based on fuzzy inference. Using a binary logic based classification method developed from a linguistic scoring guideline...
Source: Sensors - September 3, 2021 Category: Biotechnology Authors: Seung-Hee Lee Ye-Ji Hwang Hwang-Jae Lee Yun-Hee Kim Matja ž Ogrinc Etienne Burdet Jong-Hyun Kim Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5917: Daily Life Upper Limb Activity for Patients with Match and Mismatch between Observed Function and Perceived Activity in the Chronic Phase Post Stroke
Verheyden We investigated actual daily life upper limb (UL) activity in relation to observed UL motor function and perceived UL activity in chronic stroke in order to better understand and improve UL activity in daily life. In 60 patients, we collected (1) observed UL motor function (Fugl-Meyer Assessment (FMA-UE)), (2) perceived UL activity (hand subscale of the Stroke Impact Scale (SIS-Hand)), and (3) daily life UL activity (bilateral wrist-worn accelerometers for 72 h) data. Data were compared between two groups of interest, namely (1) good observed (FMA-UE >50) function and good perceived (SIS-Hand &...
Source: Sensors - September 2, 2021 Category: Biotechnology Authors: Bea Essers Marjan Coremans Janne Veerbeek Andreas Luft Geert Verheyden Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5833: Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol
This study proposes a protocol for a dataset that can be used to develop and validate IMU-based mobility algorithms for healthy adults (18–60 years), healthy older adults (>60 years), and patients with Parkinson’s disease, multiple sclerosis, a symptomatic stroke and chronic low back pain. All participants will be measured simultaneously with IMUs and a 3D optical motion capture system while performing standardized mobility tasks and non-standardized activities of daily living. Specific clinical scales and questionnaires will be collected. This study aims at building the largest dataset for the development a...
Source: Sensors - August 30, 2021 Category: Biotechnology Authors: Elke Warmerdam Robbin Romijnders Johanna Geritz Morad Elshehabi Corina Maetzler Jan Carl Otto Maren Reimer Klarissa Stuerner Ralf Baron Steffen Paschen Thorben Beyer Denise Dopcke Tobias Eiken Hendrik Ortmann Falko Peters Felix von der Recke Moritz Riesen Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5417: Pelvis-Toe Distance: 3-Dimensional Gait Characteristics of Functional Limb Shortening in Hemiparetic Stroke
Meigen Liu We aimed to investigate whether a newly defined distance in the lower limb can capture the characteristics of hemiplegic gait compared to healthy controls. Three-dimensional gait analyses were performed on 42 patients with chronic stroke and 10 age-matched controls. Pelvis-toe distance (PTD) was calculated as the absolute distance between an anterior superior iliac spine marker and a toe marker during gait normalized by PTD in the bipedal stance. The shortening peak during the swing phase was then quantified as PTDmin. The sagittal clearance angle, the frontal compensatory angle, gait speed, and the observa...
Source: Sensors - August 11, 2021 Category: Biotechnology Authors: Koshiro Haruyama Michiyuki Kawakami Kohsuke Okada Kohei Okuyama Keita Tsuzuki Meigen Liu Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5334: Prediction of Myoelectric Biomarkers in Post-Stroke Gait
This study aimed to evaluate the potential myoelectric biomarkers for the classification of stroke-impaired muscular activity of the stroke patient group and the muscular activity of the control healthy adult group. We also proposed an EMG-based gait monitoring system consisting of a portable EMG device, cloud-based data processing, data analytics, and a health advisor service. This system was investigated with 48 stroke patients (mean age 70.6 years, 65% male) admitted into the emergency unit of a hospital and 75 healthy elderly volunteers (mean age 76.3 years, 32% male). EMG was recorded during walking using the portable...
Source: Sensors - August 7, 2021 Category: Biotechnology Authors: Iqram Hussain Se-Jin Park Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5302: Automatic Detection of Short-Term Atrial Fibrillation Segments Based on Frequency Slice Wavelet Transform and Machine Learning Techniques
uang Zhou Atrial fibrillation (AF) is the most frequently encountered cardiac arrhythmia and is often associated with other cardiovascular and cerebrovascular diseases, such as ischemic heart disease, chronic heart failure, and stroke. Automatic detection of AF by analyzing electrocardiogram (ECG) signals has an important application value. Using the contaminated and actual ECG signals, it is not enough to only analyze the atrial activity of disappeared P wave and appeared F wave in the TQ segment. Moreover, the best analysis method is to combine nonlinear features analyzing ventricular activity based on the detection ...
Source: Sensors - August 5, 2021 Category: Biotechnology Authors: Yaru Yue Chengdong Chen Pengkun Liu Ying Xing Xiaoguang Zhou Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5299: Gait Analysis Accuracy Difference with Different Dimensions of Flexible Capacitance Sensors
In this study, we confirm the dimensions of the sensor with the highest gait analysis accuracy; therefore, the results can be used to make decisions regarding sensor dimensions.
Source: Sensors - August 5, 2021 Category: Biotechnology Authors: DongWoo Nam Bummo Ahn Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5269: Enhancing Detection of SSMVEP Induced by Action Observation Stimuli Based on Task-Related Component Analysis
ing Jiang Action observation (AO)-based brain-computer interface (BCI) is an important technology in stroke rehabilitation training. It has the advantage of simultaneously inducing steady-state motion visual evoked potential (SSMVEP) and activating sensorimotor rhythm. Moreover, SSMVEP could be utilized to perform classification. However, SSMVEP is composed of complex modulation frequencies. Traditional canonical correlation analysis (CCA) suffers from poor recognition performance in identifying those modulation frequencies at short stimulus duration. To address this issue, task-related component analysis (TRCA) was ut...
Source: Sensors - August 4, 2021 Category: Biotechnology Authors: Xin Zhang Wensheng Hou Xiaoying Wu Lin Chen Ning Jiang Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5253: Intention Prediction and Human Health Condition Detection in Reaching Tasks with Machine Learning Techniques
t-Bauzel Detecting human motion and predicting human intentions by analyzing body signals are challenging but fundamental steps for the implementation of applications presenting human–robot interaction in different contexts, such as robotic rehabilitation in clinical environments, or collaborative robots in industrial fields. Machine learning techniques (MLT) can face the limit of small data amounts, typical of this kind of applications. This paper studies the illustrative case of the reaching movement in 10 healthy subjects and 21 post-stroke patients, comparing the performance of linear discriminant analysis (LDA) ...
Source: Sensors - August 4, 2021 Category: Biotechnology Authors: Federica Ragni Leonardo Archetti Agn ès Roby-Brami Cinzia Amici Ludovic Saint-Bauzel Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5216: The Long-Term Maintenance of Upper Limb Motor Improvements Following Transcranial Direct Current Stimulation Combined with Rehabilitation in People with Stroke: A Systematic Review of Randomized Sham-Controlled Trials
Conclusion: It seems that the improvements achieved during the application of tDCS combined with UL motor rehabilitation in stroke were preserved until the follow-up time (from 3 months to 1 year). Further studies are needed to clarify the long-term effects of tDCS.
Source: Sensors - July 31, 2021 Category: Biotechnology Authors: V íctor Navarro-López Manuel del del Valle-Gratac ós Rub én Fernández-Matías Mar ía Carratalá-Tejada Alicia Cuesta-G ómez Francisco Molina-Rueda Tags: Review Source Type: research

Sensors, Vol. 21, Pages 5162: Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification
io Faria Intelligent approaches in sports using IoT devices to gather data, attempting to optimize athlete’s training and performance, are cutting edge research. Synergies between recent wearable hardware and wireless communication strategies, together with the advances in intelligent algorithms, which are able to perform online pattern recognition and classification with seamless results, are at the front line of high-performance sports coaching. In this work, an intelligent data analytics system for swimmer performance is proposed. The system includes (i) pre-processing of raw signals; (ii) feature representation o...
Source: Sensors - July 30, 2021 Category: Biotechnology Authors: Joana Costa Catarina Silva Miguel Santos Telmo Fernandes S érgio Faria Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5130: Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network
Conclusions: We developed a new CNN deep-learning model to estimate SVV. Our CNN model seems to be a viable alternative when the necessary medical device is not available, thereby allowing a wider range of application and resulting in optimal patient management.
Source: Sensors - July 29, 2021 Category: Biotechnology Authors: Hye-Mee Kwon Woo-Young Seo Jae-Man Kim Woo-Hyun Shim Sung-Hoon Kim Gyu-Sam Hwang Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4740: Impacts of Stroke on Muscle Perceptions and Relationships with the Motor and Functional Performance of the Lower Extremities
This study indicated poorer accuracy and consistency in muscle perception for paretic ankles, which correlated with lower limb functions of stroke patients.
Source: Sensors - July 11, 2021 Category: Biotechnology Authors: Wan-Ju Liu Li-Fong Lin Shang-Lin Chiang Liang-Hsuan Lu Chao-Ying Chen Chueh-Ho Lin Tags: Article Source Type: research