Evidence map›Paper›PMID 41471498›Full record

ArticleSensors (Basel, Switzerland)2025

Design and Testing of an Emg-Controlled Semi-Active Knee Prosthesis.

Kassymbek Ozhikenov, Yerkebulan Nurgizat, Abu-Alim Ayazbay, Arman Uzbekbayev, Aidos Sultan, Arailym Nussibaliyeva, Nursultan Zhetenbayev, Raushan Kalykpaeva, Gani Sergazin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Kassymbek OzhikenovDepartment of Robotics and Technical Tools of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Yerkebulan NurgizatDepartment of Electronic Engineering, Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev, Almaty 050062, Kazakhstan.ORCID 0000-0002-9712-5592
Abu-Alim AyazbayDepartment of Electronic Engineering, Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev, Almaty 050062, Kazakhstan.
Arman UzbekbayevDepartment of Electronic Engineering, Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev, Almaty 050062, Kazakhstan.ORCID 0009-0003-6728-0748
Aidos SultanDepartment of Robotics and Technical Tools of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Arailym NussibaliyevaDepartment of Electronic Engineering, Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev, Almaty 050062, Kazakhstan.
Nursultan ZhetenbayevDepartment of Robotics and Technical Tools of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Raushan KalykpaevaDepartment of Robotics and Technical Tools of Automation, Satbayev University, Almaty 050013, Kazakhstan.
Gani SergazinDepartment of Science and Innovations, ALT University Named After Mukhamedzhan Tynyshpaev, Almaty 050013, Kazakhstan.ORCID 0000-0003-2762-473X

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan № BR24992820
6 · The paper itself

Abstract

Affordable, sensor-driven lower-limb prostheses remain scarce in middle-income health systems. We report the design, numerical justification, and bench validation of a semi-active transfemoral prosthesis featuring surface electromyography (EMG) control and inertial sensing for low-resource deployment. The mechanical architecture combines a titanium-aluminum-carbon composite frame (total mass 0.87 kg; parts cost < USD 400) with topology optimization (SIMP) to minimize weight while preserving stiffness. Finite-element analyses (critical load 2.94 kN) confirmed structural safety (yield safety factor ≥ 1.6) and favorable fatigue margins. A dual-channel sensing scheme-surface EMG from the rectus femoris and an IMU-drives a five-state gait finite state machine implemented on a low-power STM32H platform. The end-to-end EMG→PWM latency remained <200 ms (mean 185 ms). Bench tests reproduced commanded flexion within ±2.2%, with average electrical power of ~4.6 W and battery autonomy of ~5.7 h using a 1650 mAh Li-Po pack. Results demonstrate a pragmatic trade-off between functionality and cost: semi-active damping with EMG-triggered control and open, modular hardware suitable for small-lab fabrication. Meeting target metrics (mass ≤ 1 kg, latency ≤ 200 ms, autonomy ≥ 6 h, cost ≤ USD 500), the prototype indicates a viable pathway to broaden access to intelligent prostheses and provides a platform for future upgrades (e.g., neural network control and higher-efficiency actuators).

Indexed as

ElectromyographyKnee ProsthesisProsthesis DesignFinite Element AnalysisGaitHumansEMG controlfinite-element analysislow-cost prostheticsmagnetorheological dampingrehabilitation engineeringsemi-active kneetopology optimizationtransfemoral prosthesis

Identifiers

PMID41471498
PMCPMC12736636

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.