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Total 601 results found since Jan 2013.

Sensors, Vol. 22, Pages 7235: Slotted Monopole Patch Antenna for Microwave-Based Head Imaging Applications
Yousef Alharbi A modified monopole patch antenna for microwave-based hemorrhagic or ischemic stroke recognition is presented in this article. The designed antenna is fabricated on a cost-effective FR-4 lossy material with a 0.02 loss tangent and 4.4 dielectric constant. Its overall dimensions are 0.32 λ × 0.28 λ × 0.007 λ, where λ is the lower bandwidth 1.3 GHz frequency wavelength. An inset feeding approach is utilized to feed the antenna to reduce the input impedance (z = voltage/current). A total bandwidth (below &minu...
Source: Sensors - September 23, 2022 Category: Biotechnology Authors: Abdulrahman Alqahtani Mohammad Tariqul Islam Md Siam Talukder Md Samsuzzaman Mohsen Bakouri Sofiene Mansouri Thamer Almoneef Socrates Dokos Yousef Alharbi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7212: Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke
u Yen Yu-Hen Hu A novel wearable multi-sensor data glove system is developed to explore the relation between finger spasticity and voluntary movement in patients with stroke. Many stroke patients suffer from finger spasticity, which is detrimental to their manual dexterity. Diagnosing and assessing the degrees of spasticity require neurological testing performed by trained professionals to estimate finger spasticity scores via the modified Ashworth scale (MAS). The proposed system offers an objective, quantitative solution to assess the finger spasticity of patients with stroke and complements the manual neurological...
Source: Sensors - September 23, 2022 Category: Biotechnology Authors: Bor-Shing Lin I-Jung Lee Pei-Chi Hsiao Shu-Yu Yang Chen-Yu Chen Si-Huei Lee Yu-Fang Huang Mao-Hsu Yen Yu-Hen Hu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7197: Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review
Santos This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary use with assistive devices and/or physiotherapist-oriented cues. A literature search was conducted from January 2019 to September 2022 on Cochrane, Embase, PubMed, PEDro, Scopus, and Web of Science databases. Data regarding technical (sensors, biofeedback parameters, actuators, control strategies, assistive devices, physiotherapist-oriented cues) and clinical (particip...
Source: Sensors - September 22, 2022 Category: Biotechnology Authors: Cristiana Pinheiro Joana Figueiredo Jo ão Cerqueira Cristina P. Santos Tags: Review Source Type: research

Sensors, Vol. 22, Pages 6960: Using Deep Learning to Predict Minimum Foot & ndash;Ground Clearance Event from Toe-Off Kinematics
Sensors, Vol. 22, Pages 6960: Using Deep Learning to Predict Minimum Foot–Ground Clearance Event from Toe-Off Kinematics Sensors doi: 10.3390/s22186960 Authors: Clement Ogugua Asogwa Hanatsu Nagano Kai Wang Rezaul Begg Efficient, adaptive, locomotor function is critically important for maintaining our health and independence, but falls-related injuries when walking are a significant risk factor, particularly for more vulnerable populations such as older people and post-stroke individuals. Tripping is the leading cause of falls, and the swing-phase event Minimum Foot Clearance (MFC) is recognised as ...
Source: Sensors - September 14, 2022 Category: Biotechnology Authors: Clement Ogugua Asogwa Hanatsu Nagano Kai Wang Rezaul Begg Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6938: Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial
inkensmeyer After stroke, many people substantially reduce use of their impaired hand in daily life, even if they retain even a moderate level of functional hand ability. Here, we tested whether providing real-time, wearable feedback on the number of achieved hand movements, along with a daily goal, can help people increase hand use intensity. Twenty participants with chronic stroke wore the Manumeter, a novel magnetic wristwatch/ring system that counts finger and wrist movements. We randomized them to wear the device for three weeks with (feedback group) or without (control group) real-time hand count feedback and a d...
Source: Sensors - September 14, 2022 Category: Biotechnology Authors: Diogo Schwerz de Lucena Justin B. Rowe Shusuke Okita Vicky Chan Steven C. Cramer David J. Reinkensmeyer Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6708: Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients
This study investigates the performance of a custom wearable device for respiratory monitoring in post-stroke patients. We tested the device on six hemiplegic patients under different respiratory regimes. The estimated respiratory parameters (i.e., respiratory frequency and the timing of the respiratory phase) demonstrated good agreement with the ones provided by a gold standard device. The promising results of this pilot study encourage the exploitation of wearables on these patients that may strongly impact the treatment of chronic diseases, such as hemiplegia.
Source: Sensors - September 5, 2022 Category: Biotechnology Authors: Joshua Di Di Tocco Daniela Lo Presti Martina Zaltieri Marco Bravi Michelangelo Morrone Silvia Sterzi Emiliano Schena Carlo Massaroni Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6596: Research and Development of Ankle & ndash;Foot Orthoses: A Review
This article reviews the development process of ankle–foot orthoses and proposes that the integration of new ankle–foot orthoses with rehabilitation technologies such as monitoring or myoelectric stimulation will play an important role in reducing the walking energy consumption of patients in the study of human-in-the-loop models and promoting neuro/muscular rehabilitation.
Source: Sensors - September 1, 2022 Category: Biotechnology Authors: Congcong Zhou Zhao Yang Kaitai Li Xuesong Ye Tags: Systematic Review Source Type: research

Sensors, Vol. 22, Pages 6323: Deep Learning-Based Subtask Segmentation of Timed Up-and-Go Test Using RGB-D Cameras
Ha Ryu The timed up-and-go (TUG) test is an efficient way to evaluate an individual’s basic functional mobility, such as standing up, walking, turning around, and sitting back. The total completion time of the TUG test is a metric indicating an individual’s overall mobility. Moreover, the fine-grained consumption time of the individual subtasks in the TUG test may provide important clinical information, such as elapsed time and speed of each TUG subtask, which may not only assist professionals in clinical interventions but also distinguish the functional recovery of patients. To perform mor...
Source: Sensors - August 23, 2022 Category: Biotechnology Authors: Yoon Jeong Choi Yoo Sung Bae Baek Dong Cha Je Ha Ryu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6190: Sleep Monitoring during Acute Stroke Rehabilitation: Toward Automated Measurement Using Multimodal Wireless Sensors
In this study, we explored the feasibility of (1) collecting overnight biophysical data from patients with subacute stroke using a simple sensor system and (2) constructing machine-learned algorithms to detect sleep stages. Ten individuals with stroke in an inpatient rehabilitation hospital wore two wireless sensors during a single night of sleep. Polysomnography served as ground truth to classify different sleep stages. A population model, trained on data from multiple patients and tested on data from a separate patient, performed poorly for this limited sample. Personal models trained on data from one patient and tested ...
Source: Sensors - August 18, 2022 Category: Biotechnology Authors: Pin-Wei Chen Megan K. O ’Brien Adam P. Horin Lori L. McGee Koch Jong Yoon Lee Shuai Xu Phyllis C. Zee Vineet M. Arora Arun Jayaraman Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6113: Recognition of Uni-Stroke Characters with Hand Movements in 3D Space Using Convolutional Neural Networks
il Shin Hand gestures are a common means of communication in daily life, and many attempts have been made to recognize them automatically. Developing systems and algorithms to recognize hand gestures is expected to enhance the experience of human–computer interfaces, especially when there are difficulties in communicating vocally. A popular system for recognizing hand gestures is the air-writing method, where people write letters in the air by hand. The arm movements are tracked with a smartwatch/band with embedded acceleration and gyro sensors; a computer system then recognizes the written letters. One o...
Source: Sensors - August 16, 2022 Category: Biotechnology Authors: Won-Du Chang Akitaka Matsuoka Kyeong-Taek Kim Jungpil Shin Tags: Article Source Type: research

Young stroke patient ’s perseverance, words and foundation are a true source of hope
In 2008, Harshada Rajani was a healthy second-year med student whose only complaint was a recent bout of bad headaches that were diagnosed as ophthalmic migraines, which are characterized by pain around the eyes often accompanied by symptoms such as visual disturbances, light sensitivity and nausea. Home for Thanksgiving break, she visited an ophthalmologist to discuss her migraines. During that appointment, she experienced her first case of vertigo, an off-balance feeling that everything is spinning. …
Source: bizjournals.com Health Care:Biotechnology headlines - August 1, 2022 Category: Biotechnology Authors: Atrium Health Source Type: news

Sensors, Vol. 22, Pages 5589: Ti2C-TiO2 MXene Nanocomposite-Based High-Efficiency Non-Enzymatic Glucose Sensing Platform for Diabetes Monitoring
a Yadav Vinod Verma Diabetes is a major health challenge, and it is linked to a number of serious health issues, including cardiovascular disease (heart attack and stroke), diabetic nephropathy (kidney damage or failure), and birth defects. The detection of glucose has a direct and significant clinical importance in the management of diabetes. Herein, we demonstrate the application of in-situ synthesized Ti2C-TiO2 MXene nanocomposite for high throughput non-enzymatic electrochemical sensing of glucose. The nanocomposite was synthesized by controlled oxidation of Ti2C-MXene nanosheets using H2O2 at room temperature. T...
Source: Sensors - July 26, 2022 Category: Biotechnology Authors: Vinod Kumar Sudheesh K. Shukla Meenakshi Choudhary Jalaj Gupta Priyanka Chaudhary Saurabh Srivastava Mukesh Kumar Manoj Kumar Devojit Kumar Sarma Bal Chandra Yadav Vinod Verma Tags: Article Source Type: research

New Approaches for Enhancement of the Efficacy of Mesenchymal Stem Cell-Derived Exosomes in Cardiovascular Diseases
AbstractCardiovascular diseases (CVDs) remain a major health concern worldwide, where mesenchymal stem cells (MSCs) therapy gives great promise in their management through their regenerative and paracrine actions. In recent years, many studies have shifted from the use of transplanted stem cells to their secreted exosomes for the management of various CVDs and cardiovascular-related diseases including atherosclerosis, stroke, myocardial infarction, heart failure, peripheral arterial diseases, and pulmonary hypertension. In different models, MSC-derived exosomes have shown beneficial outcomes similar to cell therapy concern...
Source: Tissue Engineering and Regenerative Medicine - July 22, 2022 Category: Biotechnology Source Type: research

Sensors, Vol. 22, Pages 5349: Reconstructing Synergy-Based Hand Grasp Kinematics from Electroencephalographic Signals
In this study, ten healthy right-handed participants were asked to perform six types of hand grasps representative of the activities of daily living while their neural activities were recorded using electroencephalography (EEG). From half of the participants, hand kinematic synergies were derived, and a neural decoder was developed, based on the correlation between hand synergies and corresponding cortical activity, using multivariate linear regression. Using the synergies and the neural decoder derived from the first half of the participants and only cortical activities from the remaining half of the participants, their h...
Source: Sensors - July 18, 2022 Category: Biotechnology Authors: Dingyi Pei Parthan Olikkal T ülay Adali Ramana Vinjamuri Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5347: Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen
n M. Eskofier Efficient handwriting trajectory reconstruction (TR) requires specific writing surfaces for detecting movements of digital pens. Although several motion-based solutions have been developed to remove the necessity of writing surfaces, most of them are based on classical sensor fusion methods limited, by sensor error accumulation over time, to tracing only single strokes. In this work, we present an approach to map the movements of an IMU-enhanced digital pen to relative displacement data. Training data is collected by means of a tablet. We propose several pre-processing and data-preparation methods to sync...
Source: Sensors - July 18, 2022 Category: Biotechnology Authors: Mohamad Wehbi Daniel Luge Tim Hamann Jens Barth Peter Kaempf Dario Zanca Bjoern M. Eskofier Tags: Article Source Type: research