Evidence mapPaperPMID 37112492Full record

ArticleSensors (Basel, Switzerland)2023

mCrutch: A Novel m-Health Approach Supporting Continuity of Care.

Valerio Antonio Arcobelli, Matteo Zauli, Giulia Galteri, Luca Cristofolini, Lorenzo Chiari, Angelo Cappello, Luca De Marchi, Sabato Mellone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

8 authors.

Valerio Antonio ArcobelliDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-1262-9899
Matteo ZauliDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
Giulia GalteriDepartment of Industrial Engineering (DIN), Alma Mater Studiorum, University of Bologna, Via Umberto Terracini 24-28, 40131 Bologna, Italy.ORCID 0000-0002-0838-6249
Luca CristofoliniDepartment of Industrial Engineering (DIN), Alma Mater Studiorum, University of Bologna, Via Umberto Terracini 24-28, 40131 Bologna, Italy.ORCID 0000-0002-7473-6868
Lorenzo ChiariDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0002-2318-4370
Angelo CappelloDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0003-2408-5830
Luca De MarchiDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0003-0637-9472
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering (DEI), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.ORCID 0000-0001-7688-0188

Funding

Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro PR19-RR-P1 - TwinMED
6 · The paper itself

Abstract

This paper reports the architecture of a low-cost smart crutches system for mobile health applications. The prototype is based on a set of sensorized crutches connected to a custom Android application. Crutches were instrumented with a 6-axis inertial measurement unit, a uniaxial load cell, WiFi connectivity, and a microcontroller for data collection and processing. Crutch orientation and applied force were calibrated with a motion capture system and a force platform. Data are processed and visualized in real-time on the Android smartphone and are stored on the local memory for further offline analysis. The prototype's architecture is reported along with the post-calibration accuracy for estimating crutch orientation (5° RMSE in dynamic conditions) and applied force (10 N RMSE). The system is a mobile-health platform enabling the design and development of real-time biofeedback applications and continuity of care scenarios, such as telemonitoring and telerehabilitation.

Indexed as

Mobile ApplicationsTelemedicineBiomechanical PhenomenaContinuity of Patient CareGaitHumansSmartphonecrutchesgait monitoringinstrumented walking aidsmobile-healthtelerehabilitationwireless sensors

Identifiers

PMID37112492
PMCPMC10146559

What Socratic 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 Socratic graph.