2018
DOI: 10.1007/978-981-10-9038-7_161
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Impedance Spectroscopy Method to Detect Pelvic Floor Muscle Damage—A Feasibility Study

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Cited by 5 publications
(5 citation statements)
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“…The use of the specially designed ONIRY Probe resulted in an increase of measurement sensitivity compared to previous studies [45,46]. The compatibility of our results with the reference ultrasound method, when assessed using the OASI classification, was at the level of about 93% and almost 100%, for the raw and re-analyzed datasets, respectively.…”
Section: Discussionmentioning
confidence: 44%
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“…The use of the specially designed ONIRY Probe resulted in an increase of measurement sensitivity compared to previous studies [45,46]. The compatibility of our results with the reference ultrasound method, when assessed using the OASI classification, was at the level of about 93% and almost 100%, for the raw and re-analyzed datasets, respectively.…”
Section: Discussionmentioning
confidence: 44%
“…Therefore, it has been used as a physical marker of tissue condition, changing along with parameters such as microscopic structure, hydration, electrolyte concentration, and others [41][42][43][44]. For these reasons, feasibility studies of impedance spectroscopy application for OASI diagnostics have been undertaken [45,46]. As a result, a system called ONIRY has been developed.…”
Section: Gradementioning
confidence: 99%
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“…So far, to the authors' knowledge, there has been no experience with utilising this technique for diagnostics of the perianal area. An investigator-initiated proof-of-concept research study with 22 patients, followed by two pilot clinical studies with prototype devices (see below) in a total of 69 post-partum women, have been completed and previously reported wherein the method validity was demonstrated [35][36][37][38] . However, it was found out that due to subtility of differences in raw impedance parameters between normal (noninjured) and injured tissue structures, clinically useful sensitivity and specificity could only be achieved by utilising nonlinear machine learning (ML) algorithms for ultimate test outcome interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…However, it was found out that due to subtility of differences in raw impedance parameters between normal (noninjured) and injured tissue structures, clinically useful sensitivity and specificity could only be achieved by utilising nonlinear machine learning (ML) algorithms for ultimate test outcome interpretation. Prototypes of such device, called the ONIRY system, with the ML module gradually trained with the clinical data collected, were designed and developed [35][36] . The overall concept for this system was to serve as a rapid detection method for OASI that could be applied immediately after delivery.…”
Section: Introductionmentioning
confidence: 99%