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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 22, Pages 4670: Stroke Risk Prediction with Machine Learning Techniques
gka A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the blood supply, the brain cells gradually die, and disability occurs depending on the area of the brain affected. Early recognition of symptoms can significantly carry valuable information for the prediction of stroke and promoting a healthy life. In this research work, with the aid of machine learning (ML), several models are developed and evaluated to design a robust framework for the long-term risk prediction of stroke occurrence. The main contribution of this study is a stacking method that achieves a high performance that ...
Source: Sensors - June 21, 2022 Category: Biotechnology Authors: Elias Dritsas Maria Trigka Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4533: Kinematic Analysis of Exoskeleton-Assisted Community Ambulation: An Observational Study in Outdoor Real-Life Scenarios
Conclusions: The proposed IMU-based gait assessment protocol enabled quantification of the human–exoskeleton interaction in terms of gait kinematics and paved the way for the study of WPE-assisted community ambulation in stroke patients.
Source: Sensors - June 16, 2022 Category: Biotechnology Authors: Michela Goffredo Paola Romano Francesco Infarinato Matteo Cioeta Marco Franceschini Daniele Galafate Rebecca Iacopini Sanaz Pournajaf Marco Ottaviani Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4336: The Use of Armeo & reg;Spring Device to Assess the Effect of Trunk Stabilization Exercises on the Functional Capabilities of the Upper Limb & mdash;An Observational Study of Patients after Stroke
Conclusions: Physiotherapy including exercises to stabilize the trunk had a significant effect on increasing the functional efficiency of the affected upper limb and on improving the handgrip strength. The Armeo®Spring device is a good device for the functional assessment of the upper limb before and after therapy.
Source: Sensors - June 8, 2022 Category: Biotechnology Authors: Anna Olczak Aleksandra Truszczy ńska-Baszak Adam St ępień Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4310: Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
In this study, we aimed at diagnosing CVD using a novel approach integrating information from retinal images and DXA data. We considered an adult Qatari cohort of 500 participants from Qatar Biobank (QBB) with an equal number of participants from the CVD and the control groups. We designed a case-control study with a novel multi-modal (combining data from multiple modalities—DXA and retinal images)—to propose a deep learning (DL)-based technique to distinguish the CVD group from the control group. Uni-modal models based on retinal images and DXA data achieved 75.6% and 77.4% accuracy, respective...
Source: Sensors - June 7, 2022 Category: Biotechnology Authors: Hamada R. H. Al-Absi Mohammad Tariqul Islam Mahmoud Ahmed Refaee Muhammad E. H. Chowdhury Tanvir Alam Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4067: Design and Analysis of a 6-DOF Magnetic Suspension Platform with an Improved Permanent Magnetic Array
eng Jing Li For ultra-precision, large stroke, and high start/stop acceleration, a novel 6-DOF magnetic suspension platform with a novel structure of the permanent array is proposed. The structure and the working principle of the novel platform are introduced. An accurate model of the novel structure was established to calculate the magnetic density distribution for obtaining the parameters and performance of the magnetic suspension platform. The analytical model’s results were verified by the finite element method. The driving force model of the magnetic suspension platform was established based on the...
Source: Sensors - May 27, 2022 Category: Biotechnology Authors: Shinan Cao Pingjuan Niu Jie Bai Wei Wang Qiang Liu Sha Sheng Jing Li Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4080: Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke
out While accelerometers could be used to monitor important domains of walking in daily living (e.g., walking speed), the interpretation of accelerometer data often relies on validation studies performed with healthy participants. The aim of this study was to develop cut-points for waist- and ankle-worn accelerometers to differentiate non-ambulation from walking and different walking speeds in people post stroke. Forty-two post-stroke persons wore waist and ankle accelerometers (ActiGraph GT3x+, AG) while performing three non-ambulation activities (i.e., sitting, setting the table and washing dishes) and while walking ...
Source: Sensors - May 27, 2022 Category: Biotechnology Authors: David Moulaee Conradsson Lucian John-Ross Bezuidenhout Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3779: Novel Soft Haptic Biofeedback & mdash;Pilot Study on Postural Balance and Proprioception
This study proposes a soft monolithic haptic biofeedback device prototyped and pilot tests were conducted with healthy participants that balance and proprioception of the wearer were improved with applied mechanical stimuli on the lower limb(s). The soft monolithic haptic biofeedback device has been developed and manufactured using fused deposition modelling (FDM) that employs soft and flexible materials with low elastic moduli. Experimental results of the pilot tests show that the soft haptic device can effectively improve the balance of the wearer as much as can provide substitute proprioceptive feedback which are critic...
Source: Sensors - May 16, 2022 Category: Biotechnology Authors: Mert Aydin Rahim Mutlu Dilpreet Singh Emre Sariyildiz Robyn Coman Elizabeth Mayland Jonathan Shemmell Winson Lee Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3747: Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation
Rahman Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people suffer a stroke worldwide. We have developed a 7 degrees of freedom (DoF) exoskeleton robot named the smart robotic exoskeleton (SREx) to provide upper limb rehabilitation therapy. The robot is designed for adults and has an extended range of motion compared to our previously designed ETS-MARSE robot. While providing rehabilitation therapy, the exoskeleton robot is always subject to random disturbance. Moreover, these types of robots manage various patients and different degrees of impairment, which are quite impo...
Source: Sensors - May 14, 2022 Category: Biotechnology Authors: Tanvir Ahmed Md Rasedul Islam Brahim Brahmi Mohammad Habibur Rahman Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3677: Wearables in Swimming for Real-Time Feedback: A Systematic Review
arbosa Nowadays, wearables are a must-have tool for athletes and coaches. Wearables can provide real-time feedback to athletes on their athletic performance and other training details as training load, for example. The aim of this study was to systematically review studies that assessed the accuracy of wearables providing real-time feedback in swimming. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were selected to identify relevant studies. After screening, 283 articles were analyzed and 18 related to the assessment of the accuracy of wearables providing real-time feedback ...
Source: Sensors - May 12, 2022 Category: Biotechnology Authors: Jorge E. Morais Jo ão P. Oliveira Tatiana Sampaio Tiago M. Barbosa Tags: Review Source Type: research

Sensors, Vol. 22, Pages 3674: Linear-Range Extension for Linear Variable Differential Transformer Using Hyperbolic Sine Function
iewruja In this paper, a circuit technique to extend the measuring range of a linear variable differential transformer (LVDT) is proposed. The transfer characteristic of the LVDT contains the odd function form of the cubic polynomial. Therefore, the measuring range of a commercial LVDT is linear in a narrow range compared to its physical dimensions. The wide measuring range of the LVDT requires a large structure of the LVDT, which increases the scale and the cost of the measurement system. The measuring range of the LVDT can be linearly extended to the maximum of the stroke range using the proposed technique. The reali...
Source: Sensors - May 12, 2022 Category: Biotechnology Authors: Apinai Rerkratn Jakkapun Tongcharoen Wandee Petchmaneelumka Vanchai Riewruja Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3604: Quantitative Assessment of Hand Function in Healthy Subjects and Post-Stroke Patients with the Action Research Arm Test
era The Action Research Arm Test (ARAT) can provide subjective results due to the difficulty assessing abnormal patterns in stroke patients. The aim of this study was to identify joint impairments and compensatory grasping strategies in stroke patients with left (LH) and right (RH) hemiparesis. An experimental study was carried out with 12 patients six months after a stroke (three women and nine men, mean age: 65.2 ± 9.3 years), and 25 healthy subjects (14 women and 11 men, mean age: 40.2 ± 18.1 years. The subjects were evaluated during the performance of the ARAT using a data glove. Strok...
Source: Sensors - May 10, 2022 Category: Biotechnology Authors: Jesus Fernando Padilla-Maga ña Esteban Pe ña-Pitarch Isahi S ánchez-Suarez Neus Tic ó-Falguera Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3368: Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback
Jiping Wang Motor function evaluation is a significant part of post-stroke rehabilitation protocols, and the evaluation of wrist motor function helps provide patients with individualized rehabilitation training programs. However, traditional assessment is coarsely graded, lacks quantitative analysis, and relies heavily on clinical experience. In order to objectively quantify wrist motor dysfunction in stroke patients, a novel quantitative evaluation system based on force feedback and machine learning algorithm was proposed. Sensors embedded in the force-feedback robot record the kinematic and movement data of the sub...
Source: Sensors - April 28, 2022 Category: Biotechnology Authors: Kangjia Ding Bochao Zhang Zongquan Ling Jing Chen Liquan Guo Daxi Xiong Jiping Wang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3308: User Participatory Design of a Wearable Focal Vibration Device for Home-Based Stroke Rehabilitation
hirley A. James Stroke often leads to the significant impairment of upper limb function and is associated with a decreased quality of life. Despite study results from several interventions for muscle activation and motor coordination, wide-scale adoption remains largely elusive due to under-doses and low user compliance and participation. Recent studies have shown that focal vibration has a greater potential to increase and coordinate muscle recruitment and build muscle strength and endurance. This form of treatment could widely benefit stroke survivors and therapists. Thus, this study aimed to design and develop a nov...
Source: Sensors - April 26, 2022 Category: Biotechnology Authors: Hongwu Wang Mustafa Ghazi Raghuveer Chandrashekhar Josiah Rippetoe Grace A. Duginski Louis V. Lepak Lisa R. Milhan Shirley A. James Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2989: Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose
phélie Pila In post-stroke motor rehabilitation, treatment dose description is estimated approximately. The aim of this retrospective study was to quantify the treatment dose using robot-measured variables during robot-assisted training in patients with subacute stroke. Thirty-six patients performed fifteen 60 min sessions (Session 1–Session 15) of planar, target-directed movements in addition to occupational therapy over 4 (SD 2) weeks. Fugl–Meyer Assessment (FMA) was carried out pre- and post-treatment. The actual time practiced (percentage of a 60 min session), the number of repeated mov...
Source: Sensors - April 13, 2022 Category: Biotechnology Authors: Pascal Jamin Christophe Duret Emilie Hutin Nicolas Bayle Typhaine Koeppel Jean-Michel Gracies Oph élie Pila Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2735: Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching
oger Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but it remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the analysis of upper limb reaching kinematics. Twenty-six healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce behaviour similar to that of stroke survivors. With the Kinect v2 and with the VICON, 3D upper limb and trunk motions were simultaneously recorded. The Kinect assesses trunk compensations, hand rang...
Source: Sensors - April 2, 2022 Category: Biotechnology Authors: Germain Faity Denis Mottet J érôme Froger Tags: Article Source Type: research