2020
DOI: 10.1109/tsmc.2018.2856405
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Surgical Wounds Assessment System for Self-Care

Abstract: The importance of effective surgical wound care cannot never be underestimated. Poorly managing surgical wounds may cause many serious complications. Thus, it raises the necessity to develop a patient-friendly self-care system which can help both patients and medical professionals to ensure the state of the surgical wounds without any special medical equipment. In this paper, a surgical wound assessment system for self-care is proposed. The proposed system is designed to enable patients capture surgical wound … Show more

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Cited by 14 publications
(8 citation statements)
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References 38 publications
(52 reference statements)
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“…The primary studies were published between the years 2011 and 2019, with the majority being in the English language (8/9), all published in international journals. Of the total, six are characterized as being of cross-sectional design (18)(19)(20)(21)(22)(23) , two randomized clinical trials (9,24) and a case report (25) .…”
Section: Resultsmentioning
confidence: 99%
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“…The primary studies were published between the years 2011 and 2019, with the majority being in the English language (8/9), all published in international journals. Of the total, six are characterized as being of cross-sectional design (18)(19)(20)(21)(22)(23) , two randomized clinical trials (9,24) and a case report (25) .…”
Section: Resultsmentioning
confidence: 99%
“…This study allowed us to synthesize information about the use of technology for self-care in surgical site infection surveillance. Thus, it was identified the use of mobile devices with access to camera, voice recorder, text messages, memory capacity, (20) Taiwan Propose a surgical wound assessment system for self-care.…”
Section: Discussionmentioning
confidence: 99%
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“…The methods presented by the authors of [29,30,36,38] need high processing power and cannot be implemented in mobile devices. They provide only theoretical studies that do not provide contact between patients and healthcare professionals.…”
Section: Discussionmentioning
confidence: 99%
“…To measure a surgical wound's size, the authors of [36] used the HSV color model to implement normalization techniques and the SEED algorithm for superpixel segmentation.…”
Section: Related Workmentioning
confidence: 99%