Robotic Upper Limb Rehabilitation after Acute Stroke by NeReBot: Evaluation of Treatment Costs

Masiero, Stefano; Poli, Patrizia; Armani, Mario; Ferlini, Gregorio; Rizzello, Roberto; Rosati, Giulio

doi:10.1155/2014/265634

Cited by 40 publications

(34 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, a single physiotherapist could manage up to four robots (hence four patients) at the same time [ 25 ]. Masiero et al [ 40 ] quantified the cost of using NeReBot (a robot for the treatment of post-stroke upper limb impairment) to be 37 % of the hourly physiotherapy cost, with benefits that include a reduction in hospitalization time. This suggests that robotic technology can be a valuable, and an economically sustainable aid, in the management of patient rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

et al. 2016

View full text Add to dashboard Cite

Most studies and reviews on robots for neurorehabilitation focus on their effectiveness. These studies often report inconsistent results. This and many other reasons limit the credit given to these robots by therapists and patients. Further, neurorehabilitation is often still based on therapists’ expertise, with competition among different schools of thought, generating substantial uncertainty about what exactly a neurorehabilitation robot should do. Little attention has been given to ethics. This review adopts a new approach, inspired by Asimov’s three laws of robotics and based on the most recent studies in neurorobotics, for proposing new guidelines for designing and using robots for neurorehabilitation. We propose three laws of neurorobotics based on the ethical need for safe and effective robots, the redefinition of their role as therapist helpers, and the need for clear and transparent human–machine interfaces. These laws may allow engineers and clinicians to work closely together on a new generation of neurorobots.

show abstract

Section: Introductionmentioning

confidence: 99%

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

et al. 2016

View full text Add to dashboard Cite

show abstract

“…As a first step, technological solutions have been developed to assist therapists and healthcare professionals in providing effective, repetitive training and quantitative evaluation of the user’s progress in the hospital environment [16,17,18,19,20,21]. For this, several levels and settings allow the physical guidelines to be tailored for each user in certain ways.…”

Section: State Of the Artmentioning

confidence: 99%

PHAROS 2.0—A PHysical Assistant RObot System Improved

Martínez-Martín

Costa

Cazorla

2019

Sensors

View full text Add to dashboard Cite

There are great physical and cognitive benefits for older adults who are engaged in active aging, a process that should involve daily exercise. In our previous work on the PHysical Assistant RObot System (PHAROS), we developed a system that proposed and monitored physical activities. The system used a social robot to analyse, by means of computer vision, the exercise a person was doing. Then, a recommender system analysed the exercise performed and indicated what exercise to perform next. However, the system needed certain improvements. On the one hand, the vision system captured the movement of the person and indicated whether the exercise had been done correctly or not. On the other hand, the recommender system was based purely on a ranking system that did not take into account temporal evolution and preferences. In this work, we propose an evolution of PHAROS, PHAROS 2.0, incorporating improvements in both of the previously mentioned aspects. In the motion capture aspect, we are now able to indicate the degree of completeness of each exercise, identifying the part that has not been done correctly, and a real-time performance correction. In this way, the recommender system receives a greater amount of information and so can more accurately indicate the exercise to be performed. In terms of the recommender system, an algorithm was developed to weigh the performance, temporal evolution and preferences, providing a more accurate recommendation, as well as expanding the recommendation to a batch of exercises, instead of just one.

show abstract

“…On the one hand, robot systems can be used as a support tool in the rehabilitation process. This is the case of the Lokomat [Hocoma, 2018], an exoskeletal robot for physiological gait rehabilitation; NeReBot (NEuro REhabilitation roBOT) [Stefano et al, 2014], a cable-suspended device for upper limb rehabilitation of post-stroke patients; or, AMADEO [Tyromotion, 2018], a neurological rehabilitation device designed for the rehabilitation of the hand, fingers and thumb.…”

Section: Related Workmentioning

confidence: 99%

EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors

et al. 2019

View full text Add to dashboard Cite

Over one billion people in the world live with some form of disability. This is incessantly increasing due to aging population and chronic diseases. Among the emerging social needs, rehabilitation services are the most required. However, they are scarce and expensive what considerably limits access to them. In this paper, we propose EVA, an augmented reality platform to engage and supervise rehabilitation sessions at home using low-cost sensors. It also stores the user's statistics and allows therapists to tailor the exercise programs according to their performance. This system has been evaluated in both qualitative and quantitative ways obtaining very promising results.

show abstract

Robotic Upper Limb Rehabilitation after Acute Stroke by NeReBot: Evaluation of Treatment Costs

Cited by 40 publications

References 14 publications

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

PHAROS 2.0—A PHysical Assistant RObot System Improved

EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors

Contact Info

Product

Resources

About