Evidence map›Paper›PMID 35336413›Full record

ReviewSensors (Basel, Switzerland)2022

Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review.

Azadeh Kian, Giwantha Widanapathirana, Anna M Joseph, Daniel T H Lai, Rezaul Begg

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Azadeh KianInstitute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-1724-790X
Giwantha WidanapathiranaInstitute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-3576-6818
Anna M JosephInstitute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-6529-974X
Daniel T H LaiInstitute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-3459-7709
Rezaul BeggInstitute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-3195-8591
Victoria University · AU

Funding

Australian Research Council DP200103583
6 · The paper itself

Abstract

Powered ankle exoskeletons (PAEs) are robotic devices developed for gait assistance, rehabilitation, and augmentation. To fulfil their purposes, PAEs vastly rely heavily on their sensor systems. Human-machine interface sensors collect the biomechanical signals from the human user to inform the higher level of the control hierarchy about the user's locomotion intention and requirement, whereas machine-machine interface sensors monitor the output of the actuation unit to ensure precise tracking of the high-level control commands via the low-level control scheme. The current article aims to provide a comprehensive review of how wearable sensor technology has contributed to the actuation and control of the PAEs developed over the past two decades. The control schemes and actuation principles employed in the reviewed PAEs, as well as their interaction with the integrated sensor systems, are investigated in this review. Further, the role of wearable sensors in overcoming the main challenges in developing fully autonomous portable PAEs is discussed. Finally, a brief discussion on how the recent technology advancements in wearable sensors, including environment-machine interface sensors, could promote the future generation of fully autonomous portable PAEs is provided.

Indexed as

Exoskeleton DeviceWearable Electronic DevicesAnkleAnkle JointHumansLower Extremityactuationankle exoskeletoncontrolhuman–machineorthosispoweredrobotsensorwearable

Identifiers

PMID35336413
PMCPMC8954890
OpenAlexW4220730322

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.