Publication: Preliminary study to detect fetal movement by using acceleration sensor and MEMS microphone
| dc.contributor.author | Yusenas N. | |
| dc.contributor.author | Intaravichai J. | |
| dc.contributor.author | Tirasuwannarat P. | |
| dc.contributor.author | Ouypornkochagorn T. | |
| dc.date.accessioned | 2021-04-05T03:03:54Z | |
| dc.date.available | 2021-04-05T03:03:54Z | |
| dc.date.issued | 2019 | |
| dc.date.issuedBE | 2562 | |
| dc.description.abstract | Fetal movement is an indicator of well-being. If the fetus does not move for a certain number, it may indicate a pregnancy risk. Acceleration measurement is a popular technique for detecting the vibration due to the movement. However, the comparison to use acceleration with other techniques e.g. fetal-movement sound has not been performed to date. In this study, acceleration sensors and MEMS microphones were used to detect three actions performed on the subject's abdomen: flicking, tapping, and knocking with finger(s), and two activities without performing these actions: subject speaking and walking. These actions and activities were carried on a female healthy subject in order to simulate the actions due to fetal movement. The maximum accuracy of the use of acceleration sensors was 69.96% for the tapping action; while that of MEMS microphones was 71.11% for the flicking action. The very poor accuracy was found for the knocking action with using MEMS microphones, i.e. 31.11%. Using the MEMS microphones was very robust to the interference from speaking and walking, while using the acceleration sensors was very susceptible to walking. Therefore, to develop a device for counting fetal movement, employing both sensors would be recommended in order to sense various types of movement. © 2018 IEEE | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | ECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. (2019), p.290-292 | |
| dc.identifier.doi | 10.1109/ECTICon.2018.8619929 | |
| dc.identifier.other | 2-s2.0-85062227905 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/5490 | |
| dc.rights.holder | Scopus | |
| dc.subject.other | Acceleration | |
| dc.subject.other | Acceleration sensors | |
| dc.subject.other | Fetal movements | |
| dc.subject.other | Healthy subjects | |
| dc.subject.other | Maximum accuracies | |
| dc.subject.other | MEMS microphone | |
| dc.subject.other | Well being | |
| dc.subject.other | Microphones | |
| dc.title | Preliminary study to detect fetal movement by using acceleration sensor and MEMS microphone | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062227905&doi=10.1109%2fECTICon.2018.8619929&partnerID=40&md5=54bd40670f08c974b74155e95856bed9 |
