Evidence map›Paper›PMID 33238448›Full record

ArticleSensors (Basel, Switzerland)2020

Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.

Federica Amitrano, Armando Coccia, Carlo Ricciardi, Leandro Donisi, Giuseppe Cesarelli, Edda Maria Capodaglio, Giovanni D'Addio

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Wearables for Movement Analysis in Healthcare.Sensors (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
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.

Federica AmitranoDepartment of Information Technologies and Electrical Engineering, University of Naples 'Federico II', 80125 Naples, Italy.ORCID 0000-0001-6890-6165
Armando CocciaDepartment of Information Technologies and Electrical Engineering, University of Naples 'Federico II', 80125 Naples, Italy.ORCID 0000-0001-5921-452X
Carlo RicciardiScientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.ORCID 0000-0001-7290-6432
Leandro DonisiScientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.ORCID 0000-0002-9746-2265
Giuseppe CesarelliScientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.ORCID 0000-0001-8303-5900
Edda Maria CapodaglioScientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.ORCID 0000-0002-0391-839X
Giovanni D'AddioScientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.ORCID 0000-0001-6352-3077

Funding

Italian Minister of Economic Development B58I17000090008
6 · The paper itself

Abstract

This paper presents a new wearable e-textile based system, named SWEET Sock, for biomedical signals remote monitoring. The system includes a textile sensing sock, an electronic unit for data transmission, a custom-made Android application for real-time signal visualization, and a software desktop for advanced digital signal processing. The device allows the acquisition of angular velocities of the lower limbs and plantar pressure signals, which are postprocessed to have a complete and schematic overview of patient's clinical status, regarding gait and postural assessment. In this work, device performances are validated by evaluating the agreement between the prototype and an optoelectronic system for gait analysis on a set of free walk acquisitions. Results show good agreement between the systems in the assessment of gait cycle time and cadence, while the presence of systematic and proportional errors are pointed out for swing and stance time parameters. Worse results were obtained in the comparison of spatial metrics. The "wearability" of the system and its comfortable use make it suitable to be used in domestic environment for the continuous remote health monitoring of de-hospitalized patients but also in the ergonomic assessment of health workers, thanks to its low invasiveness.

Indexed as

ClothingGait AnalysisPostureTextilesWearable Electronic DevicesHumansWalkinge-textilegait analysisInternet of Thingsm-healthplantar pressurevalidationwearable devices

Identifiers

PMID33238448
PMCPMC7700449

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.