Evidence map›Paper›PMID 33140242›Full record

ReviewAnnals of biomedical engineering2021

Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.

Andrew Masteller, Sriramana Sankar, Han Biehn Kim, Keqin Ding, Xiaogang Liu, Angelo H All

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

6 authors at 3 institutions in 3 countries.

Andrew MastellerDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Sriramana SankarDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Han Biehn KimDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Keqin DingDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Xiaogang LiuDepartment of Chemistry, Faculty of Science, National University of Singapore, Building 3 Science Drive 3, 117543, Singapore, Singapore. xiaogangliu@nus.edu.sg.
Angelo H AllDepartment of Chemistry, Faculty of Science, Hong Kong Baptist University, # 844, RRS Building, Ho Sin Hang Campus, Hong Kong, Hong Kong. angelo@hkbu.edu.hk.ORCID http://orcid.org/0000-0002-7086-2170
Johns Hopkins University · USHong Kong Baptist University · HKNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current developments being made in upper limb prostheses are focused on replacing lost sensory information to the amputees. Providing sensory stimulation from the prosthesis can directly improve control over the prosthetic and provide a sense of body ownership. The focus of this review article is on recent developments while including foundational knowledge for some of the critical concepts in neural prostheses. Reported concepts follow the flow of information from sensors to signal processing, with emphasis on texture recognition, and then to sensory stimulation strategies that reestablish the lost sensory feedback loop. Prosthetic sensors are used to detect the physical environment, converting pressure, force, and position into electrical signals. The electrical signals can then be processed in an effort to identify the surrounding environment using distinctive characteristics such as stiffness and texture. In order for the amputee to use this information in a natural manner, there must be real-time sensory stimulation, perception, and motor control of the prosthesis. Although truly complete sensory replacement has not yet been realized, some basic percepts can be partially restored, allowing progress towards a more realistic prosthesis with natural sensations.

Indexed as

Artificial LimbsFeedback, SensoryElectric StimulationHumansUpper ExtremityBiomimeticEmbodimentNerve electrodesNoninvasive stimulationPhantom limb stimulationSensory feedback

Identifiers

PMID33140242
OpenAlexW3095535175

What OpenQuestion holds

Textmetadata
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.