Placement-Dependent Accuracy of a Smartphone-Based Sensor Application Compared to an Accelerometer-Based System for Measuring Physical Activity in Healthy Adults: A Validation Study.

Mette Garval, Louise Pedersen, Lars M Pedersen, Ane Kathrine W D J Nielsen, David H Christiansen, Jeppe Lange, Stefan Wagner

Abstract readValidation Study

PubMed Full text at PMC Publisher

In one paragraph

Article in Sensors (Basel, Switzerland), 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

7 authors.

Mette GarvalElective Surgery Center, University Clinic for Interdisciplinary Orthopaedic Pathways, Regional Hospital Central Jutland, Falkevej 1, 8600 Silkeborg, Denmark.ORCID 0000-0002-0684-0997

Louise PedersenDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus, Denmark.ORCID 0009-0007-0877-7235

Lars M PedersenDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus, Denmark.

Ane Kathrine W D J NielsenDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus, Denmark.

David H ChristiansenElective Surgery Center, University Clinic for Interdisciplinary Orthopaedic Pathways, Regional Hospital Central Jutland, Falkevej 1, 8600 Silkeborg, Denmark.ORCID 0000-0001-7458-3921

Jeppe LangeDepartment of Clinical Medicine, Aarhus University, Vennelyst Boulevard 4, 8000 Aarhus, Denmark.ORCID 0000-0001-6868-7513

Stefan WagnerDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus, Denmark.ORCID 0000-0002-9985-4588

Funding

European Union 101083595

6 · The paper itself

Abstract

Accurately monitoring physical activity, including stationary cycling on an exercise bike, is important in managing chronic diseases and rehabilitation after lower limb surgery. This study aimed to validate a new smartphone-based sensor application (the BeSAFE+) for activity recognition and step counting across five phone placements, using the SENS Motion

Indexed as

AccelerometryBiosensing TechniquesExerciseSmartphoneAdultFemaleHumansMaleWalkingaccelerometryactivity recognitionmeasurement accuracysmartphone-based sensorsvalidation studywearable sensors

Identifiers

PMID41977818

DOI10.3390/s26072033

PMCPMC13075226

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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.