An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand

2015 ◽  
Vol 60 (3) ◽  
Author(s):  
Surjo R. Soekadar ◽  
Matthias Witkowski ◽  
Nicola Vitiello ◽  
Niels Birbaumer
Keyword(s):  
Daily Life ◽  
Hand Function ◽  
Hybrid Approach ◽  
Assistive Devices ◽  
Assistive Robotics ◽  
Psychosocial Impairment ◽  
Hand Exoskeleton ◽  
Improved Performance ◽  
And Performance ◽  
Computer Interaction

AbstractThe loss of hand function can result in severe physical and psychosocial impairment. Thus, compensation of a lost hand function using assistive robotics that can be operated in daily life is very desirable. However, versatile, intuitive, and reliable control of assistive robotics is still an unsolved challenge. Here, we introduce a novel brain/neural-computer interaction (BNCI) system that integrates electroencephalography (EEG) and electrooculography (EOG) to improve control of assistive robotics in daily life environments. To evaluate the applicability and performance of this hybrid approach, five healthy volunteers (HV) (four men, average age 26.5±3.8 years) and a 34-year-old patient with complete finger paralysis due to a brachial plexus injury (BPI) used EEG (condition 1) and EEG/EOG (condition 2) to control grasping motions of a hand exoskeleton. All participants were able to control the BNCI system (BNCI control performance HV: 70.24±16.71%, BPI: 65.93±24.27%), but inclusion of EOG significantly improved performance across all participants (HV: 80.65±11.28, BPI: 76.03±18.32%). This suggests that hybrid BNCI systems can achieve substantially better control over assistive devices, e.g., a hand exoskeleton, than systems using brain signals alone and thus may increase applicability of brain-controlled assistive devices in daily life environments.

An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set

2020 ◽  
Vol 16 ◽  
Author(s):  
Inzamam Mashood Nasir ◽  
Muhammad Rashid ◽  
Jamal Hussain Shah ◽  
Muhammad Sharif ◽  
Muhammad Yahiya Haider Awan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
State Of The Art ◽  
Hybrid Approach ◽  
Classification Performance ◽  
Diagnose Breast Cancer ◽  
Histopathological Images ◽  
And Performance ◽  
Learned Features ◽  
Intelligent Healthcare

Background: Breast cancer is considered as the most perilous sickness among females worldwide and the ratio of new cases is expanding yearly. Many researchers have proposed efficient algorithms to diagnose breast cancer at early stages, which have increased the efficiency and performance by utilizing the learned features of gold standard histopathological images. Objective: Most of these systems have either used traditional handcrafted features or deep features which had a lot of noise and redundancy, which ultimately decrease the performance of the system. Methods: A hybrid approach is proposed by fusing and optimizing the properties of handcrafted and deep features to classify the breast cancer images. HOG and LBP features are serially fused with pretrained models VGG19 and InceptionV3. PCR and ICR are used to evaluate the classification performance of proposed method. Results: The method concentrates on histopathological images to classify the breast cancer. The performance is compared with state-of-the-art techniques, where an overall patient-level accuracy of 97.2% and image-level accuracy of 96.7% is recorded. Conclusion: The proposed hybrid method achieves the best performance as compared to previous methods and it can be used for the intelligent healthcare systems and early breast cancer detection.

scholarly journals Identical Limb Dynamics for Unilateral Impairments through Biomechanical Equivalence

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 705
Author(s):  
Fatemeh Rasouli ◽  
Kyle B. Reed
Keyword(s):  
Mathematical Model ◽  
Numerical Solution ◽  
Dynamic Models ◽  
Assistive Devices ◽  
Assistive Device ◽  
Human Walking ◽  
Physical Parameters ◽  
Gait Rehabilitation ◽  
And Performance ◽  
Two Sides

Dynamic models, such as double pendulums, can generate similar dynamics as human limbs. They are versatile tools for simulating and analyzing the human walking cycle and performance under various conditions. They include multiple links, hinges, and masses that represent physical parameters of a limb or an assistive device. This study develops a mathematical model of dissimilar double pendulums that mimics human walking with unilateral gait impairment and establishes identical dynamics between asymmetric limbs. It introduces new coefficients that create biomechanical equivalence between two sides of an asymmetric gait. The numerical solution demonstrates that dissimilar double pendulums can have symmetric kinematic and kinetic outcomes. Parallel solutions with different physical parameters but similar biomechanical coefficients enable interchangeable designs that could be incorporated into gait rehabilitation treatments or alternative prosthetic and ambulatory assistive devices.

scholarly journals Augmented Reality, Mixed Reality, and Hybrid Approach in Healthcare Simulation: A Systematic Review

2021 ◽  
Vol 11 (5) ◽  
pp. 2338
Author(s):  
Rosanna Maria Viglialoro ◽  
Sara Condino ◽  
Giuseppe Turini ◽  
Marina Carbone ◽  
Vincenzo Ferrari ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Mixed Reality ◽  
Ethical Issues ◽  
Medical Training ◽  
Hybrid Approach ◽  
Dental Surgery ◽  
Feasibility Assessment ◽  
Hybrid Approaches ◽  
Custom Made ◽  
Improved Performance

Simulation-based medical training is considered an effective tool to acquire/refine technical skills, mitigating the ethical issues of Halsted’s model. This review aims at evaluating the literature on medical simulation techniques based on augmented reality (AR), mixed reality (MR), and hybrid approaches. The research identified 23 articles that meet the inclusion criteria: 43% combine two approaches (MR and hybrid), 22% combine all three, 26% employ only the hybrid approach, and 9% apply only the MR approach. Among the studies reviewed, 22% use commercial simulators, whereas 78% describe custom-made simulators. Each simulator is classified according to its target clinical application: training of surgical tasks (e.g., specific tasks for training in neurosurgery, abdominal surgery, orthopedic surgery, dental surgery, otorhinolaryngological surgery, or also generic tasks such as palpation) and education in medicine (e.g., anatomy learning). Additionally, the review assesses the complexity, reusability, and realism of the physical replicas, as well as the portability of the simulators. Finally, we describe whether and how the simulators have been validated. The review highlights that most of the studies do not have a significant sample size and that they include only a feasibility assessment and preliminary validation; thus, further research is needed to validate existing simulators and to verify whether improvements in performance on a simulated scenario translate into improved performance on real patients.

scholarly journals The Influence of Video Format on Engagement and Performance in Online Learning

2021 ◽  
Vol 11 (2) ◽  
pp. 128
Author(s):  
Sergej Lackmann ◽  
Pierre-Majorique Léger ◽  
Patrick Charland ◽  
Caroline Aubé ◽  
Jean Talbot
Keyword(s):  
Student Performance ◽  
Cognitive Engagement ◽  
Emotional Engagement ◽  
Emotional States ◽  
Lecture Capture ◽  
Improved Performance ◽  
And Performance ◽  
Subject Experiment ◽  
The Impact ◽  
Video Format

Millions of students follow online classes which are delivered in video format. Several studies examine the impact of these video formats on engagement and learning using explicit measures and outline the need to also investigate the implicit cognitive and emotional states of online learners. Our study compared two video formats in terms of engagement (over time) and learning in a between-subject experiment. Engagement was operationalized using explicit and implicit neurophysiological measures. Twenty-six (26) subjects participated in the study and were randomly assigned to one of two conditions based on the video shown: infographic video or lecture capture. The infographic video showed animated graphics, images, and text. The lecture capture showed a professor, providing a lecture, filmed in a classroom setting. Results suggest that lecture capture triggers greater emotional engagement over a shorter period, whereas the infographic video maintains higher emotional and cognitive engagement over longer periods of time. Regarding student learning, the infographic video contributes to significantly improved performance in matters of difficult questions. Additionally, our results suggest a significant relationship between engagement and student performance. In general, the higher the engagement, the better the student performance, although, in the case of cognitive engagement, the link is quadratic (inverted U shaped).

scholarly journals Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study

2020 ◽  
Vol 1 ◽  
Author(s):  
Youngmok Yun ◽  
Youngjin Na ◽  
Paria Esmatloo ◽  
Sarah Dancausse ◽  
Alfredo Serrato ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Degrees Of Freedom ◽  
Standardized Test ◽  
Hand Function ◽  
Severe Disabilities ◽  
Finger Movements ◽  
Control Approach ◽  
Cord Injury ◽  
Hand Exoskeleton

Abstract We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from an electromyography (EMG) control strategy conducted with spinal cord injury (SCI) patients (C5, C6, and C7) in which the subjects completed daily tasks controlling Maestro with EMG signals from their forearm muscles. With its compliant actuation and its degrees of freedom that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test, and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.

scholarly journals Firm Level Strategy, Organization Culture and Performance of Food and Beverage Manufacturing Firms in Kenya

2018 ◽  
Vol 13 (8) ◽  
pp. 224 ◽  
Author(s):  
Zachary B. Awino ◽  
Dominic C. Muteshi ◽  
Reginah K. Kitiabi ◽  
Ganesh P. Pokhariyal
Keyword(s):  
Policy Formulation ◽  
Manufacturing Firms ◽  
Organization Culture ◽  
Hierarchical Regression ◽  
Firm Level ◽  
Food And Beverage ◽  
Improved Performance ◽  
And Performance ◽  
The Impact ◽  
The Relationship

The study tested the impact of organization culture on the on the relationship between firm-level strategy and performance of food and beverage manufacturing firms in Kenya. The opinion of the CEO/MDs from 125 firms in this sector was sought by application of a structured questionnaire; the collected data was analysed using hierarchical regression analysis. The paper stated hypothesis that organizational culture has a significant effect on the relationship between firm-level strategy and performance. The results supported the hypothesis. Therefore, firm development of strong organization culture to support firm-level strategy for higher performance is paramount. These findings will contribute to government policy formulation for sector’s expansion and competitiveness and management drives in building a positive organization culture to support firm-level strategy for improved performance.

Signaling sustainability: impact that learning how to report has on enrollment, endowment and emissions of North American higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcel C. Minutolo ◽  
Albena Ivanova ◽  
Michelle Cong
Keyword(s):  
Higher Education ◽  
Linear Models ◽  
Higher Education Institutions ◽  
Main Hypothesis ◽  
Signaling Mechanism ◽  
Content Type ◽  
Improved Performance ◽  
And Performance ◽  
Reporting Mechanism ◽  
The Relationship

Purpose The purpose of this paper is to develop an integrated model assessing the frequency and timing between reports on the Association for the Advancement of Sustainability in Higher Education (AASHE) Sustainability Tracking, Assessment and Rating System (STARS) reporting the framework by higher education institutions (HEIs) and the relationship between the STARS score and reputation (enrollment), finances (endowment) and performance (emissions). Design/methodology/approach The development of the theoretical model is based on learning, signaling and legitimacy theories. This study collects data from the AASHE STARS to indicate the rating level of 202 HEIs, control variables, enrollment, endowments and emissions. The hypotheses were tested using generalized linear models. Findings Findings suggest that as HEIs report on their sustainability activity, they learn to report better but that there is also an “un-learning” aspect if the HEI skips reporting in a period. The results support the main hypothesis that there is a relationship between reporting and engagement with the HEIs in the form of enrollment and endowments. Finally, the findings provide evidence that the HEIs’ reporting is associated with a reduction in emissions. Practical implications The findings suggest that HEIs should develop a reporting strategy on a standardized framework such as AASHE STARs and they ought to codify the approach to learn from prior reporting. Students and alumni are increasingly seeking to engage the HEI in the sustainability process and the report is a mechanism for signaling activities. Social implications The findings suggest that AASHE STARS scores may be used by HEIs as a signaling mechanism to stakeholders of their commitment to sustainability. The signal is a mechanism to reduce information asymmetry between the HEI and stakeholders who may want more information on the institution’s attempts toward sustainability but lack access to information. Further, HEI partners have a mechanism to assess the overall level of commitment of the HEI toward sustainability and can, therefore, engage accordingly. Originality/value There has been significant work on signaling theory and sustainability. However, the relationship between STARs reporting as a signal that legitimates the HEI, learning how to report well and HEI performance has received less attention. The current study demonstrates that the STARS framework as a reporting mechanism signals the HEIs’ level of commitment to sustainability thereby legitimating it resulting in improved performance.

scholarly journals Rheumatoid arthritis: hand function, activities of daily living, grip strength and essential assistive devices.

Curationis ◽  
2003 ◽  
Vol 26 (3) ◽  
Author(s):  
I Shipham
Keyword(s):  
Rheumatoid Arthritis ◽  
Activities Of Daily Living ◽  
Grip Strength ◽  
Daily Living ◽  
Hand Function ◽  
Assistive Devices ◽  
Hand Dexterity

Persons with rheumatoid arthritis use assistive devices to enable them, in spite of impaired hand dexterity and grip strength, to manage Activities of Daily Living (ADL).

Association between Participation in an Intensive Longitudinal Assessment Program and Performance on a Cognitive Examination in the Maintenance of Certification in Anesthesiology Program®

2016 ◽  
Vol 125 (5) ◽  
pp. 1046-1055 ◽  
Author(s):  
Huaping Sun ◽  
Yan Zhou ◽  
Deborah J. Culley ◽  
Cynthia A. Lien ◽  
Ann E. Harman ◽  
...  
Keyword(s):  
North Carolina ◽  
Learning Resources ◽  
Longitudinal Assessment ◽  
Immediate Feedback ◽  
High Stakes ◽  
Web Based ◽  
Maintenance Of Certification ◽  
Improved Performance ◽  
And Performance ◽  
First Time

Abstract Background As part of the Maintenance of Certification in Anesthesiology Program® (MOCA®), the American Board of Anesthesiology (Raleigh, North Carolina) developed the MOCA Minute program, a web-based intensive longitudinal assessment involving weekly questions with immediate feedback and links to learning resources. This observational study tested the hypothesis that individuals who participate in the MOCA Minute program perform better on the MOCA Cognitive Examination (CE) compared with those who do not participate. Methods Two separate cohorts of individuals eligible for July 2014 and January 2015 CEs were invited to participate in this pilot. The CE scores for each cohort were compared between those who did and did not participate, controlling for the factors known to affect performance. For the first cohort, examination performances for topics covered and not covered by the MOCA Minute were analyzed separately. Results Six hundred sixteen diplomates in July 2014 and 684 diplomates in January 2015 took the CE for the first time. In multiple regression analysis, those actively participating scored 9.9 points (95% CI, 0.8 to 18.9) and 9.3 points (95% CI, 2.3 to 16.3) higher when compared with those not enrolled, respectively. Compared to the group that did not enroll in MOCA Minute, those who enrolled but did not actively participate demonstrated no improvement in scores. MOCA Minute participation was associated with improvement in both questions covering topics included the MOCA Minute and questions not covering these topics. Conclusions This analysis provides evidence that voluntary active participation in a program featuring frequent knowledge assessments accompanied by targeted learning resources is associated with improved performance on a high-stakes CE.

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