Evidence map›Paper›PMID 38926332›Full record

ArticleMedical & biological engineering & computing2024

Continuous mobile measurement of camptocormia angle using four accelerometers.

K Naderi Beni, K Knutzen, J P Kuhtz-Buschbeck, N G Margraf, R Rieger

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 2024. 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

5 authors.

K Naderi BeniChair of Networked Electronic Systems, Kiel University, Kiel, Germany. kanb@tf.uni-kiel.de.ORCID http://orcid.org/0000-0001-5248-3401
K KnutzenNeurological Clinic, UKSH, Kiel, Germany.
J P Kuhtz-BuschbeckInstitute of Physiology, UKSH, Kiel, Germany.
N G MargrafNeurological Clinic, UKSH, Kiel, Germany.
R RiegerChair of Networked Electronic Systems, Kiel University, Kiel, Germany.ORCID http://orcid.org/0000-0002-4436-0804

Funding

Deutsche Forschungsgemeinschaft 510140239
6 · The paper itself

Abstract

Camptocormia, a severe flexion deformity of the spine, presents challenges in monitoring its progression outside laboratory settings. This study introduces a customized method utilizing four inertial measurement unit (IMU) sensors for continuous recording of the camptocormia angle (CA), incorporating both the consensual malleolus and perpendicular assessment methods. The setup is wearable and mobile and allows measurements outside the laboratory environment. The practicality for measuring CA across various activities is evaluated for both the malleolus and perpendicular method in a mimicked Parkinson disease posture. Multiple activities are performed by a healthy volunteer. Measurements are compared against a camera-based reference system. Results show an overall root mean squared error (RMSE) of 4.13° for the malleolus method and 2.71° for the perpendicular method. Furthermore, patient-specific calibration during the standing still with forward lean activity significantly reduced the RMSE to 2.45° and 1.68° respectively. This study presents a novel approach to continuous CA monitoring outside the laboratory setting. The proposed system is suitable as a tool for monitoring the progression of camptocormia and for the first time implements the malleolus method with IMU. It holds promise for effectively monitoring camptocormia at home.

Indexed as

AccelerometryMuscular Atrophy, SpinalSpinal CurvaturesAdultHumansMalePostureWearable Electronic DevicesAccelerometerCamptocormiaHome assessmentIMUMalleolus methodParkinson’s diseasePerpendicular methodWearable

Identifiers

PMID38926332
PMCPMC11569011

What OpenQuestion holds

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Registered trials

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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.