NDLI: Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs)

Content Provider	Springer Nature : BioMed Central
Author	Catalán, José M. Trigili, Emilio Nann, Marius Blanco-Ivorra, Andrea Lauretti, Clemente Cordella, Francesca Ivorra, Eugenio Armstrong, Elaine Crea, Simona Alcañiz, Mariano Zollo, Loredana Soekadar, Surjo R. Vitiello, Nicola García-Aracil, Nicolás
Abstract	Background The aging of the population and the progressive increase of life expectancy in developed countries is leading to a high incidence of age-related cerebrovascular diseases, which affect people’s motor and cognitive capabilities and might result in the loss of arm and hand functions. Such conditions have a detrimental impact on people’s quality of life. Assistive robots have been developed to help people with motor or cognitive disabilities to perform activities of daily living (ADLs) independently. Most of the robotic systems for assisting on ADLs proposed in the state of the art are mainly external manipulators and exoskeletal devices. The main objective of this study is to compare the performance of an hybrid EEG/EOG interface to perform ADLs when the user is controlling an exoskeleton rather than using an external manipulator. Methods Ten impaired participants (5 males and 5 females, mean age 52 ± 16 years) were instructed to use both systems to perform a drinking task and a pouring task comprising multiple subtasks. For each device, two modes of operation were studied: synchronous mode (the user received a visual cue indicating the sub-tasks to be performed at each time) and asynchronous mode (the user started and finished each of the sub-tasks independently). Fluent control was assumed when the time for successful initializations ranged below 3 s and a reliable control in case it remained below 5 s. NASA-TLX questionnaire was used to evaluate the task workload. For the trials involving the use of the exoskeleton, a custom Likert-Scale questionnaire was used to evaluate the user’s experience in terms of perceived comfort, safety, and reliability. Results All participants were able to control both systems fluently and reliably. However, results suggest better performances of the exoskeleton over the external manipulator (75% successful initializations remain below 3 s in case of the exoskeleton and bellow 5s in case of the external manipulator). Conclusions Although the results of our study in terms of fluency and reliability of EEG control suggest better performances of the exoskeleton over the external manipulator, such results cannot be considered conclusive, due to the heterogeneity of the population under test and the relatively limited number of participants.
Related Links	https://jneuroengrehab.biomedcentral.com/counter/pdf/10.1186/s12984-023-01185-w.pdf
Ending Page	16
Page Count	16
Starting Page	1
File Format	HTM / HTML
ISSN	17430003
DOI	10.1186/s12984-023-01185-w
Journal	Journal of NeuroEngineering and Rehabilitation
Issue Number	1
Volume Number	20
Language	English
Publisher	BioMed Central
Publisher Date	2023-05-06
Access Restriction	Open
Subject Keyword	Neurosciences Neurology Rehabilitation Medicine Biomedical Engineering and Bioengineering Assistive robotics Brain–machine interface User intention prediction Multimodal system Brain injury Spinal-cord injury
Content Type	Text
Resource Type	Article
Subject	Health Informatics Rehabilitation
Journal Impact Factor	5.2/2023
5-Year Journal Impact Factor	5.6/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living

User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients

Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping

Assisting hand function after spinal cord injury with a fabric-based soft robotic glove

The effects of gait training using powered lower limb exoskeleton robot on individuals with complete spinal cord injury

A muscle-driven approach to restore stepping with an exoskeleton for individuals with paraplegia

Rehabilitation of Acute Vs. Chronic Patients With Spinal Cord Injury With a Neurologically Controlled Hybrid Assistive Limb Exoskeleton: Is There a Difference in Outcome?

A survey of stakeholder perspectives on exoskeleton technology

Stance controlled knee flexion improves stimulation driven walking after spinal cord injury

Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs)

Similar Documents

Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living

User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients

Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping

Assisting hand function after spinal cord injury with a fabric-based soft robotic glove

The effects of gait training using powered lower limb exoskeleton robot on individuals with complete spinal cord injury

A muscle-driven approach to restore stepping with an exoskeleton for individuals with paraplegia

Rehabilitation of Acute Vs. Chronic Patients With Spinal Cord Injury With a Neurologically Controlled Hybrid Assistive Limb Exoskeleton: Is There a Difference in Outcome?

A survey of stakeholder perspectives on exoskeleton technology

Stance controlled knee flexion improves stimulation driven walking after spinal cord injury

Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs)