Evidence map›Paper›PMID 31159298›Full record

ArticleSensors (Basel, Switzerland)2019

Bioimpedance Sensor Array for Long-Term Monitoring of Wound Healing from Beneath the Primary Dressings and Controlled Formation of H

Atte Kekonen, Mikael Bergelin, Max Johansson, Narender Kumar Joon, Johan Bobacka, Jari Viik

Registry-linked trialAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05805137 (Monitoring of Venous Ulcers Using a Bioimpedance Measurement Based Method and System), which is not on this 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.

NCT05805137 narecruitingnot on this mapstarted 2023, after this paper: background citation

Monitoring of Venous Ulcers Using a Bioimpedance Measurement Based Method and System

TypeinterventionalSponsorCutoSense OyRan2023 to 2026Enrolled20ConditionsVenous UlcerArmsWoundWatch® wound monitoring system
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. Sensor Arrays: A Comprehensive Systematic Review.Sensors (Basel, Switzerland) · 2025
    Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

6 authors.

Atte KekonenFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, FI-33720 Tampere, Finland. atte.kekonen@tuni.fi.
Mikael BergelinTurku PET Centre, Åbo Akademi Accelerator Laboratory, c/o Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland. mikael.bergelin@abo.fi.
Max JohanssonCutoSense Ltd., Kaarinantie 700, FI-20540 Turku, Finland. max.johansson@cutosense.fi.
Narender Kumar JoonLaboratory of Analytical Chemistry, Johan Gadolin Process Chemistry Centre, Åbo Akademi University, Biskopsgatan 8, FI-20500 Turku, Finland. narender.joon@abo.fi.
Johan BobackaLaboratory of Analytical Chemistry, Johan Gadolin Process Chemistry Centre, Åbo Akademi University, Biskopsgatan 8, FI-20500 Turku, Finland. johan.bobacka@abo.fi.
Jari ViikFaculty of Medicine and Health Technology, Tampere University, Korkeakoulunkatu 3, FI-33720 Tampere, Finland. jari.viik@tuni.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic wounds impose a significant financial burden for the healthcare system. Currently, assessment and monitoring of hard-to-heal wounds are often based on visual means and measuring the size of the wound. The primary wound dressings must be removed before assessment can be done. We have developed a quasi-monopolar bioimpedance-measurement-based method and a measurement system to determine the status of wound healing. The objective of this study was to demonstrate that with an appropriate setup, long-term monitoring of wound healing from beneath the primary dressings is feasible. The developed multielectrode sensor array was applied on the wound area and left under the primary dressings for 142 h. The impedance of the wounds and the surrounding intact skin area was measured regularly during the study at 150 Hz, 300 Hz, 1 kHz, and 5 kHz frequencies. At the end of the follow-up period, the wound impedance had reached the impedance of the intact skin at the higher frequencies and increased significantly at the lowest frequencies. The measurement frequency affected the measurement sensitivity in wound monitoring. The skin impedance remained stable over the measurement period. The sensor array also enabled the administration of periodical low-intensity direct current (LIDC) stimulation in order to create an antimicrobial environment across the wound area via the controlled formation of hydrogen peroxide (H

Indexed as

beneath the dressingsbioimpedancehydrogen peroxidelong-term monitoringlow-intensity direct currentmultielectrodequasi-monopolarsensor arraywound dressingwound monitoringwound stimulation

Identifiers

PMID31159298
PMCPMC6603574

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Registered trials

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.