scholarly journals A System for Neuromotor Based Rehabilitation on a Passive Robotic Aid

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3130
Author(s):  
Marco Righi ◽  
Massimo Magrini ◽  
Cristina Dolciotti ◽  
Davide Moroni

In the aging world population, the occurrence of neuromotor deficits arising from stroke and other medical conditions is expected to grow, demanding the design of new and more effective approaches to rehabilitation. In this paper, we show how the combination of robotic technologies with progress in exergaming methodologies may lead to the creation of new rehabilitation protocols favoring motor re-learning. To this end, we introduce the Track-Hold system for neuromotor rehabilitation based on a passive robotic arm and integrated software. A special configuration of weights on the robotic arm fully balances the weight of the patients’ arm, allowing them to perform a purely neurological task, overcoming the muscular effort of similar free-hand exercises. A set of adaptive and configurable exercises are proposed to patients through a large display and a graphical user interface. Common everyday tasks are also proposed for patients to learn again the associated actions in a persistent way, thus improving life independence. A data analysis module was also designed to monitor progress and compute indices of post-stroke neurological damage and Parkinsonian-type disorders. The system was tested in the lab and in a pilot project involving five patients in the post-stroke chronic stage with partial paralysis of the right upper limb, showing encouraging preliminary results.

2014 ◽  
Vol 125 ◽  
pp. S145
Author(s):  
R. Chieffo ◽  
F. Ferrari ◽  
P. Battista ◽  
E. Houdayer ◽  
A. Nuara ◽  
...  

2021 ◽  
Vol 32 (3) ◽  
pp. 123-124

A growing and aging world population and the increasing strain on nature's ecosystems are among the major challenges facing humanity. As a global leader in health and nutrition, Bayer is able to play a key role in devising solutions to tackle these challenges. Guided by its purpose "Science for a better life," it delivers breakthrough innovations in health care and agriculture. It contributes to a world in which diseases are not only treated but effectively prevented or cured, in which people can take better care of their own health needs, and in which enough agriculture products are produced while respecting the planet's natural resources. That is because at Bayer, it is believed that growth and sustainability should go hand in hand. In short, they are working to make their vision "Health for all, hunger for none" a reality.


2014 ◽  
Vol 8 (3) ◽  
pp. 207-215 ◽  
Author(s):  
Lucia Iracema Zanotto de Mendonça

Transcranial brain stimulation (TS) techniques have been investigated for use in the rehabilitation of post-stroke aphasia. According to previous reports, functional recovery by the left hemisphere improves recovery from aphasia, when compared with right hemisphere participation. TS has been applied to stimulate the activity of the left hemisphere or to inhibit homotopic areas in the right hemisphere. Various factors can interfere with the brain's response to TS, including the size and location of the lesion, the time elapsed since the causal event, and individual differences in the hemispheric language dominance pattern. The following questions are discussed in the present article: [a] Is inhibition of the right hemisphere truly beneficial?; [b] Is the transference of the language network to the left hemisphere truly desirable in all patients?; [c] Is the use of TS during the post-stroke subacute phase truly appropriate? Different patterns of neuroplasticity must occur in post-stroke aphasia.


2014 ◽  
Vol 261 (3) ◽  
pp. 600-603 ◽  
Author(s):  
Michael J. Devine ◽  
Paul Bentley ◽  
Brynmor Jones ◽  
Gary Hotton ◽  
Richard J. Greenwood ◽  
...  

1990 ◽  
Vol 27 (5) ◽  
pp. 363-373
Author(s):  
Shinichiro MAESHIMA ◽  
Nobuyuki DOHI ◽  
Toshio KAJIWARA ◽  
Yoshimi KONDO ◽  
Etsuko MAESHIMA ◽  
...  

2020 ◽  
Author(s):  
Jessica Lönn-Stensrud ◽  
Martina Marcellova ◽  
Ingerid Straume ◽  
Rigmor Soberg ◽  
Anne Gerd Granås

Higher education across Europe is in transition due to professionalization of the traditional academic education. One response to these changes is to focus on transferable skills (1,2). At the Faculty of Mathematics and Natural Sciences, the vision for the education strategy is that the students shall succeed both scientifically and professionally (3,4). Communication is mentioned as one of the transferable skills important to succeed professionally (4).  Clear and comprehensible communication is a crucial transferable skill for pharmacists. Therefore, pharmacy students are evaluated on written communication throughout a 5-year curriculum, including evaluation of e.g. laboratory reports, essays, exams and a master thesis.   Over the last decade, the proportion of pharmacy students with Norwegian as native language has decreased. A general impression is also that students in general struggle to express themselves in writing. In 2019, the Department of Pharmacy, the Academic Writing Centre and the Science Library initiated a pilot project aiming to strengthen the academic writing of pharmacy students during the first year of study. 8 seminars about assignment interpretation, text evaluation, and structure and compositions of different assignments, were planned. Further, students were to be mentored in small groups by student mentors. The aim was to provide the pharmacy students with the right tools and skills in writing various academic texts.   This presentation will illuminate how University libraries can collaborate with faculties and departments by developing innovative education with the aim for students to gain generic writing knowledge and hands-on skills. We will describe and discuss the series of seminars regarding content, assignments, outcome and progress, from the Science library perspective. The seminars will be evaluated by the students and staff, and the findings will be presented and discussed.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Hafinuddin Hafinuddin ◽  
Uswatun Hasanah

Prospect of fishing business of mud crab has became the right choice because demand of mud crab is increasing and market price is relatively good. The availability mud crab for local market in West Aceh District is affected by minimum catch, unefficient fishing, where fishermen is still using traditional fishing gear i.e. scoop net as well as having internal factor and external factor. Because of that, the potential business for mud crab fishing with eco-friendly fishing gear i.e. traps is very good to applied. Applying traps was carried out at Kuala Bubon Village Samatiga Sub district Aceh Barat District Aceh Province. Applying traps is for pilot project for fisherman. The Methods include 1) mentoring and sosialization traps; 2) training for making traps and 3) operating traps. Result of the activity show 1) fish catching using traps is better than using scoop net; 2) increased skilll  for fishermen about making traps and 3) increased understanding for fisherman about using eco-friendly fishing gear to catching mud crab. Applying traps for fisherman community is very potential to developed for mud crab fishing business.


Author(s):  
A. W. Jayawardena

The phrase inconvenient truth associated with global warming and climate change has received a great deal of publicity some years back. The objective of this article is to highlight a different kind of inconvenient truth which affects about 29% of the world population. It is about the lack of access to safe drinking water that results in over 1.2 million preventable deaths annually. The first two targets of UN sustainable development goal 6 (SDG6) aim at providing universal, affordable and sustainable access to “water, sanitation and hygiene (WASH)”.  Recognizing the right to safe and clean drinking water and sanitation as a basic human right, issues related to this problem as well as possible options to alleviate the problem are discussed.


2020 ◽  
Vol 9 (1) ◽  
pp. 2011-2017

The increasing in the incidence of stroke with aging world population would quickly place an economic burden on society. In proposed method we use different machine learning classification algorithms like Decision Tree, Deep Neural Network Learning, Maximum Expectization , Random Forest and Gaussian Naïve Bayesian Classifier is used with associated number of attributes to estimate the occurrence of stroke disease. The present research, mainly PCA (Principal Component Analysis) algorithm is used to limit the performance and scaling used to be adopted to extract splendid context statistics from medical records. We used those reduced features to determine whether or not the patient has a stroke disorder. We compared proposed method Deep neural network learning classifier with other machine-learning methods with respect to accuracy, sensitivity and specificity that yields 86.42%, 74.89 and 88.49% respectively. Hence it can be with the aid of both patients and medical doctors to treat viable stroke.


Sign in / Sign up

Export Citation Format

Share Document