Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.

Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of several adverse qualities such as unreliability as well as the inability to be conducted in a non-clinical setting. Ther...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Upekha Delay, Thoshara Nawarathne, Sajan Dissanayake, Samitha Gunarathne, Thanushi Withanage, Roshan Godaliyadda, Chathura Rathnayake, Parakrama Ekanayake, Janaka Wijayakulasooriya
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/4b7625143b4548cca80e56e1658a19f6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:4b7625143b4548cca80e56e1658a19f6
record_format dspace
spelling oai:doaj.org-article:4b7625143b4548cca80e56e1658a19f62021-12-02T20:15:25ZNovel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.1932-620310.1371/journal.pone.0254560https://doaj.org/article/4b7625143b4548cca80e56e1658a19f62021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254560https://doaj.org/toc/1932-6203Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of several adverse qualities such as unreliability as well as the inability to be conducted in a non-clinical setting. Therefore, this research was conducted to design a complete system that will enable pregnant mothers to monitor fetal movement at home. This system consists of a non-invasive, non-transmitting sensor unit that can be fabricated at a low cost. An accelerometer was utilized as the primary sensor and a micro-controller based circuit was implemented. Clinical testing was conducted utilizing this sensor unit. Two phases of clinical testing procedures were done and during the first phase readings from 120 mothers were taken while during the second phase readings from 15 mothers were taken. Validation was done by conducting an abdominal ultrasound scan which was utilized as the ground truth during the second phase of the clinical testing procedure. A clinical survey was also conducted in parallel with clinical testings in order to improve the sensor unit as well as to improve the final system. Four different signal processing algorithms were implemented on the data set and the performance of each was compared with each other. Out of the four algorithms three algorithms were able to obtain a true positive rate around 85%. However, the best algorithm was selected on the basis of minimizing the false positive rate. Consequently, the most feasible as well as the best performing algorithm was determined and it was utilized in the final system. This algorithm have a true positive rate of 86% and a false positive rate of 7% Furthermore, a mobile application was also developed to be used with the sensor unit by pregnant mothers. Finally, a complete end to end method to monitor fetal movement in a non-clinical setting was presented by the proposed system.Upekha DelayThoshara NawarathneSajan DissanayakeSamitha GunarathneThanushi WithanageRoshan GodaliyaddaChathura RathnayakeParakrama EkanayakeJanaka WijayakulasooriyaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254560 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Upekha Delay
Thoshara Nawarathne
Sajan Dissanayake
Samitha Gunarathne
Thanushi Withanage
Roshan Godaliyadda
Chathura Rathnayake
Parakrama Ekanayake
Janaka Wijayakulasooriya
Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
description Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of several adverse qualities such as unreliability as well as the inability to be conducted in a non-clinical setting. Therefore, this research was conducted to design a complete system that will enable pregnant mothers to monitor fetal movement at home. This system consists of a non-invasive, non-transmitting sensor unit that can be fabricated at a low cost. An accelerometer was utilized as the primary sensor and a micro-controller based circuit was implemented. Clinical testing was conducted utilizing this sensor unit. Two phases of clinical testing procedures were done and during the first phase readings from 120 mothers were taken while during the second phase readings from 15 mothers were taken. Validation was done by conducting an abdominal ultrasound scan which was utilized as the ground truth during the second phase of the clinical testing procedure. A clinical survey was also conducted in parallel with clinical testings in order to improve the sensor unit as well as to improve the final system. Four different signal processing algorithms were implemented on the data set and the performance of each was compared with each other. Out of the four algorithms three algorithms were able to obtain a true positive rate around 85%. However, the best algorithm was selected on the basis of minimizing the false positive rate. Consequently, the most feasible as well as the best performing algorithm was determined and it was utilized in the final system. This algorithm have a true positive rate of 86% and a false positive rate of 7% Furthermore, a mobile application was also developed to be used with the sensor unit by pregnant mothers. Finally, a complete end to end method to monitor fetal movement in a non-clinical setting was presented by the proposed system.
format article
author Upekha Delay
Thoshara Nawarathne
Sajan Dissanayake
Samitha Gunarathne
Thanushi Withanage
Roshan Godaliyadda
Chathura Rathnayake
Parakrama Ekanayake
Janaka Wijayakulasooriya
author_facet Upekha Delay
Thoshara Nawarathne
Sajan Dissanayake
Samitha Gunarathne
Thanushi Withanage
Roshan Godaliyadda
Chathura Rathnayake
Parakrama Ekanayake
Janaka Wijayakulasooriya
author_sort Upekha Delay
title Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
title_short Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
title_full Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
title_fullStr Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
title_full_unstemmed Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
title_sort novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/4b7625143b4548cca80e56e1658a19f6
work_keys_str_mv AT upekhadelay novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT thosharanawarathne novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT sajandissanayake novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT samithagunarathne novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT thanushiwithanage novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT roshangodaliyadda novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT chathurarathnayake novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT parakramaekanayake novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
AT janakawijayakulasooriya novelnoninvasiveinhousefabricatedwearablesystemwithahybridalgorithmforfetalmovementrecognition
_version_ 1718374578501189632