Literature DB >> 32160386

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

Lea Peko1, Amit Gefen1.   

Abstract

Mesh：

Year:  2020        PMID： 32160386      PMCID： PMC7949264          DOI： 10.1111/iwj.13339

Source DB:  PubMed          Journal:  Int Wound J        ISSN： 1742-4801            Impact factor:   3.315


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  7 in total

Review 1.  How medical engineering has changed our understanding of chronic wounds and future prospects.

Authors:  Amit Gefen
Journal:  Med Eng Phys       Date:  2019-10       Impact factor: 2.242

2.  Phantom testing of the sensitivity and precision of a sub-epidermal moisture scanner.

Authors:  Lea Peko Cohen; Amit Gefen
Journal:  Int Wound J       Date:  2019-04-16       Impact factor: 3.315

3.  Subepidermal moisture detection of heel pressure injury: The pressure ulcer detection study outcomes.

Authors:  Barbara M Bates-Jensen; Heather E McCreath; Gojiro Nakagami; Anabel Patlan
Journal:  Int Wound J       Date:  2017-12-17       Impact factor: 3.315

4.  Assessment of sub-epidermal moisture by direct measurement of tissue biocapacitance.

Authors:  Graham Ross; Amit Gefen
Journal:  Med Eng Phys       Date:  2019-07-26       Impact factor: 2.242

5.  Pressure ulcers: avoidable or unavoidable? Results of the National Pressure Ulcer Advisory Panel Consensus Conference.

Authors:  Joyce M Black; Laura E Edsberg; Mona M Baharestani; Diane Langemo; Margaret Goldberg; Laurie McNichol; Janet Cuddigan
Journal:  Ostomy Wound Manage       Date:  2011-02       Impact factor: 2.629

6.  The subepidermal moisture scanner: the technology explained.

Authors:  Amit Gefen; Graham Ross
Journal:  J Wound Care       Date:  2020-02-01       Impact factor: 2.072

7.  A blinded clinical study using a subepidermal moisture biocapacitance measurement device for early detection of pressure injuries.

Authors:  Henry Okonkwo; Ruth Bryant; Jeanette Milne; Donna Molyneaux; Julie Sanders; Glen Cunningham; Sharon Brangman; William Eardley; Garrett K Chan; Barbara Mayer; Mary Waldo; Barbara Ju
Journal:  Wound Repair Regen       Date:  2020-01-21       Impact factor: 3.617
  7 in total
  2 in total

1.  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

2.  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
  2 in total

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