Evidence map›Paper›PMID 37631774›Full record

ArticleSensors (Basel, Switzerland)2023

Telerehabilitation with ARC Intellicare to Cope with Motor and Respiratory Disabilities: Results about the Process, Usability, and Clinical Effect of the "Ricominciare" Pilot Study.

Marianna Capecci, Rossella Cima, Filippo A Barbini, Alice Mantoan, Francesca Sernissi, Stefano Lai, Riccardo Fava, Luca Tagliapietra, Luca Ascari, Roberto N Izzo and 4 more

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. An early feasibility study for neurological devices: The ARCTRAN study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Trial
  2. Article
  3. Article
  4. How AI-Based Digital Rehabilitation Improves End-User Adherence: Rapid Review.JMIR rehabilitation and assistive technologies · 2025
    Review
  5. Article
  6. 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

14 authors at 1 institution in 1 country.

Marianna CapecciDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Rossella CimaDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Filippo A BarbiniDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Alice MantoanHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.
Francesca SernissiHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.
Stefano LaiHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.
Riccardo FavaHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.
Luca TagliapietraHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.
Luca AscariHenesis Division, Camlin Italy Srl, 43123 Parma, Italy.ORCID 0000-0002-0956-1598
Roberto N IzzoDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Maria Eleonora LeombruniDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Paola CasoliDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Margherita HibelDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.
Maria Gabriella CeravoloDepartment of Experimental and Clinical Medicine, Polytechnic University of Marche, 60121 Ancona, Italy.ORCID 0000-0002-2694-4638
Marche Polytechnic University · IT

Funding

POR-FESR 2014-2020 REGIONE EMILIA ROMAGNA E91B20000280007
6 · The paper itself

Abstract

background"Ricominciare" is a single-center, prospective, pre-/post-intervention pilot study aimed at verifying the feasibility and safety of the ARC Intellicare (ARC) system (an artificial intelligence-powered and inertial motion unit-based mobile platform) in the home rehabilitation of people with disabilities due to respiratory or neurological diseases.

methodsPeople with Parkinson's disease (pwPD) or post-COVID-19 condition (COV19) and an indication for exercise or home rehabilitation to optimize motor and respiratory function were enrolled. They underwent training for ARC usage and received an ARC unit to be used independently at home for 4 weeks, for 45 min 5 days/week sessions of respiratory and motor patient-tailored rehabilitation. ARC allows for exercise monitoring thanks to data from five IMU sensors, processed by an AI proprietary library to provide (i) patients with real-time feedback and (ii) therapists with information on patient adherence to the prescribed therapy. Usability (System Usability Scale, SUS), adherence, and adverse events were primary study outcomes. Modified Barthel Index (mBI), Barthel Dyspnea Index (BaDI), 2-Minute Walking Test (2MWT), Brief Fatigue Inventory (BFI), Beck Depression or Anxiety Inventory (BDI, BAI), and quality of life (EQ-5D) were also monitored pre- and post-treatment.

resultsA total of 21 out of 23 eligible patients were enrolled and completed the study: 11 COV19 and 10 pwPD. The mean total SUS score was 77/100. The median patients' adherence to exercise prescriptions was 80%. Clinical outcome measures (BaDI, 2MWT distance, BFI; BAI, BDI, and EQ-5D) improved significantly; no side effects were reported.

conclusionARC is usable and safe for home rehabilitation. Preliminary data suggest promising results on the effectiveness in subjects with post-COVID condition or Parkinson's disease.

Indexed as

COVID-19Parkinson DiseasePersons with DisabilitiesTelerehabilitationArtificial IntelligenceHumansPilot ProjectsProspective StudiesQuality of Lifeadherenceartificial intelligenceCOVID-19disabilitydyspneafatigueinertial measurement unitsParkinson’s diseasetelerehabilitationwearable sensors

Identifiers

PMID37631774
PMCPMC10459854
OpenAlexW4385978152

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.