Evidence map›Paper›PMID 41372297›Full record

ArticleScientific reports2025

Segmental body BIA device development for fracture detection.

Km Brajesh, Mahmood Aldobali, Kirti Pal, Munna Khan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Km BrajeshDepartment of Electrical Engineering, Gautam Buddha University, Greater Noida, Uttar Pradesh, India. Kmbrajesh.gbu@gmail.com.
Mahmood AldobaliDepartment of Mechatronics Engineering,Faculty of Engineering and Technology, Ar-Rasheed Smart University, Sana'a, Yemen. mahmood.m.aldobali@ar-rasheed.edu.ye.
Kirti PalDepartment of Electrical Engineering, Gautam Buddha University, Greater Noida, Uttar Pradesh, India. kirti.pal@gbu.ac.in.
Munna KhanDepartment of Electrical Engineering, Jamia Millia Islamia, New Delhi, India.

Funding

CSIR India 09/10139(13623)/2022-EMR-1
6 · The paper itself

Abstract

Bone fractures are a major health issue worldwide, often requiring diagnostic tools like X-rays or CT scans, which, despite their effectiveness, present drawbacks such as radiation exposure, high cost, and limited accessibility. To address these limitations, this study introduces a novel, low-cost, portable, and non-invasive segmental bioelectrical impedance analysis (BIA) device based on the AD5933 impedance converter. The device was designed using a four-electrode configuration and integrates an ARM7 LPC2138 microcontroller, signal conditioning circuits, and a user-friendly LCD display for real-time data visualization. It operates at a fixed frequency of 50 kHz to measure impedance and phase angle variations in the human knee during fracture and healing stages. Validation was conducted using standard resistive and capacitive components, yielding measurement errors typically under 7%, thereby confirming its technical reliability. Clinical validation involved data collection of 125 patients with fractures, out of which 20 knee fracture patients are follow up, where clear differences in impedance and phase angle were observed before and after healing. These findings highlight the system's potential for real-time monitoring of bone healing, offering a reliable and accessible alternative to conventional imaging technologies, especially beneficial in rural and point of care settings.

Indexed as

Electric ImpedanceFractures, BoneAdultAgedEquipment DesignFemaleHumansMaleMiddle AgedReproducibility of ResultsAD5933Bioelectrical impedance analysis (BIA)Impedance measurementKnee fracture monitoringNon-Invasive assessmentPhase anglePortable diagnostic device

Identifiers

PMID41372297
PMCPMC12753810

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.