Literature DB >> 32058838

The subepidermal moisture scanner: the technology explained.

Amit Gefen1, Graham Ross2.   

Abstract

The objective of this article is to explain the biophysical principles underlying the design of the subepidermal moisture (SEM) scanner, commercially known as the 'SEM scanner'. We also describe the mode of operation of the SEM scanner in monitoring tissue health and detecting subtle abnormal changes in tissue physiology in patients and anatomical sites at a risk of a pressure ulcer (PU: also known as a pressure injury). The technology of the SEM scanner was approved last year for sales in the US by the Food and Drug Administration (FDA). The SEM scanner detects changes in fluid contents of human skin and subdermal tissues, to a tissue depth of several millimetres, by measuring 'capacitance', an electrical property of the locally examined tissue site to store electric charge. The capacitance of tissues, called 'biocapacitance', is strongly affected by the amount of fluid (water) in the tissue. When the first cells die in a forming PU, inflammatory signalling causes the permeability of blood vessel walls to increase and oedema to develop. Simply, the scanner detects the early appearance of oedema, which is called 'micro-oedema.' Calculation of a 'SEM-delta' value, which compares biocapacitance measurements, acquired across several tissue sites, some of which are healthy and others where the PU may evolve, eliminates potential effects of systemic changes in tissue fluid contents and provides a consistent quantitative measure of the tissue health conditions at the monitored anatomical site. Here, we describe SEM scanner technology, how it operates and has been laboratory tested (in computer simulations, in silico) before commercial launch. We explain why targeting the physical biomarker of oedema leads to the documented success of the SEM scanner in the multiple published clinical trials, proving its ability to early detect PUs that form under intact skin.

Entities:  

Keywords:  SEM scanner; laboratory testing and modelling; localised oedema; pressure injury; pressure ulcer; pressure ulcer prevention

Mesh:

Year:  2020        PMID: 32058838     DOI: 10.12968/jowc.2020.29.Sup2c.S10

Source DB:  PubMed          Journal:  J Wound Care        ISSN: 0969-0700            Impact factor:   2.072


  5 in total

1.  Sensitivity and laboratory performances of a second-generation sub-epidermal moisture measurement device.

Authors:  Lea Peko; Amit Gefen
Journal:  Int Wound J       Date:  2020-03-11       Impact factor: 3.315

2.  The sorptivity and durability of gelling fibre dressings tested in a simulated sacral pressure ulcer system.

Authors:  Adi Lustig; Paulo Alves; Evan Call; Nick Santamaria; Amit Gefen
Journal:  Int Wound J       Date:  2020-11-25       Impact factor: 3.315

3.  A machine learning algorithm for early detection of heel deep tissue injuries based on a daily history of sub-epidermal moisture measurements.

Authors:  Maayan Lustig; Dafna Schwartz; Ruth Bryant; Amit Gefen
Journal:  Int Wound J       Date:  2022-01-12       Impact factor: 3.099

Review 4.  The performance of gelling fibre wound dressings under clinically relevant robotic laboratory tests.

Authors:  Adi Lustig; Amit Gefen
Journal:  Int Wound J       Date:  2022-02-10       Impact factor: 3.099

5.  Our contemporary understanding of the aetiology of pressure ulcers/pressure injuries.

Authors:  Amit Gefen; David M Brienza; Janet Cuddigan; Emily Haesler; Jan Kottner
Journal:  Int Wound J       Date:  2021-08-11       Impact factor: 3.315

  5 in total

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