Evidence map›Paper›PMID 32098240›Full record

ArticleSensors (Basel, Switzerland)2020

AMiCUS 2.0-System Presentation and Demonstration of Adaptability to Personal Needs by the Example of an Individual with Progressed Multiple Sclerosis.

Nina Rudigkeit, Marion Gebhard

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Low-Cost Assistive Robot for Children with Neurodevelopmental Disorders to Aid in Daily Living Activities.International journal of environmental research and public health · 2021
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nina RudigkeitGroup of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany.
Marion GebhardGroup of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany.

Funding

Federal Ministry of Education and Research of Germany 01158324
6 · The paper itself

Abstract

AMiCUS is a human-robot interface that enables tetraplegics to control an assistive roboticarm in real-time using only head motion, allowing them to perform simple manipulation tasksindependently. The interface may be used as a standalone system or to provide direct control aspart of a semi-autonomous system. Within this work, we present our new gesture-free prototypeAMiCUS 2.0, which has been designed with special attention to accessibility and ergonomics. As such,AMiCUS 2.0 addresses the needs of tetraplegics with additional impairments that may come alongwith multiple sclerosis. In an experimental setup, both AMiCUS 1.0 and 2.0 are compared with eachother, showing higher accessibility and usability for AMiCUS 2.0. Moreover, in an activity of dailyliving, a proof-of-concept is provided that an individual with progressed multiple sclerosis is able tooperate the robotic arm in a temporal and functional scope, as would be necessary to perform directcontrol tasks for use in a commercial semi-autonomous system. The results indicate that AMiCUS 2.0makes an important step towards closing the gaps of assistive technology, being accessible to thosewho rely on such technology the most.

Indexed as

Multiple SclerosisSelf-Help DevicesHumansQuadriplegiaSoftwareUser-Computer Interfaceassistive robotic manipulatorassistive technologyhead controlhuman-machine interactioninertial sensorsmotion sensorsmultiple sclerosisrobot controltetraplegia

Identifiers

PMID32098240
PMCPMC7070692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.