Evidence map›Paper›PMID 41957761›Full record

ReviewBiomedical engineering online2026

Lower-limb prosthetic mechanisms: recent progress, control innovations and barriers to real-world adoption.

Syed Riyas Ahamed, Sandip Saha, Awani Bhushan

Abstract readReview
In one paragraph

Review in Biomedical engineering online, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Syed Riyas AhamedSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
Sandip SahaSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
Awani BhushanSchool of Mechanical Engineering, Vellore Institute of Technology, Chennai, India. awani.bhushan@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower-limb impairments caused by amputation, stroke or paralysis severely impact mobility and independence. Assistive technologies for these conditions include passive prostheses, powered limbs and robotic exoskeletons, each offering distinct advantages in simplicity, functionality and adaptability. Recent advancements have significantly enhanced these systems through innovations in biomechanics, intelligent control and materials engineering. Improvements in biomechanical modelling and neuromuscular interfaces such as electromyography (EMG) and pressure-based sensors have enhanced user intent recognition and facilitated more adaptive gait control. Intelligent control strategies, including machine learning algorithms, variable impedance control and phase-based coordination, enable responsive adaptation to different terrains and movement demands. In parallel, advancements in materials such as carbon fibre composites and 3D-printed polymers have enabled the creation of lightweight, robust and customisable components that enhance user comfort and device performance. These innovations demonstrate meaningful gains in gait symmetry, stability and metabolic efficiency. However, major challenges remain in developing intuitive and reliable control outside laboratory settings, achieving seamless adaptation to unpredictable terrain, ensuring long-term user comfort and fit and reducing weight and energy consumption to support full-day use. Limited real-world clinical validation and high cost further restrict widespread adoption. Continued progress will depend on integrated, human-centred co-design that combines efficient actuation, robust multimodal sensing, intelligent control and clinically meaningful evaluation. This review synthesises current research trends and highlights priority directions towards prosthetic systems that are more functional, accessible and capable of supporting confident everyday mobility.

Indexed as

Artificial LimbsLower ExtremityProsthesis DesignBiomechanical PhenomenaExoskeleton DeviceHumansRobotics

Identifiers

PMID41957761
PMCPMC13214069

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.