A Wearable System for In-Home and Long-Term ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
A Wearable System for In-Home and Long-Term Assessment of Fetal Movement
Author(s) :
Zhao, Xin [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Koehl, Ludovic [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Tartare, Guillaume [Auteur]
Génie et Matériaux Textiles [GEMTEX]
De Jonckheere, Julien [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
Génie et Matériaux Textiles [GEMTEX]
Zeng, Xianyi [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Koehl, Ludovic [Auteur]
Génie et Matériaux Textiles [GEMTEX]
Tartare, Guillaume [Auteur]
Génie et Matériaux Textiles [GEMTEX]
De Jonckheere, Julien [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
Journal title :
Innovation and Research in BioMedical engineering
Abbreviated title :
IRBM
Volume number :
41
Pages :
205-211
Publisher :
Elsevier Masson
Publication date :
2019-12-04
ISSN :
1959-0318
English keyword(s) :
Fetal movements
Wearable system
Accelerometer
Machine learning
Wearable system
Accelerometer
Machine learning
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
Objectives: This paper presents a novel wearable system for in-home and long-term fetal movement monitoring on a reliable and easily accessible basis.
Material and methods: The system mainly consists of four accelerometers ...
Show more >Objectives: This paper presents a novel wearable system for in-home and long-term fetal movement monitoring on a reliable and easily accessible basis. Material and methods: The system mainly consists of four accelerometers for fetal movement signal acquisition, a microcontroller for signal processing and an Android-based device interacting with the microcontroller via Bluetooth Low Energy (BLE), providing the mother with information related to the fetal movement in an intelligible way. Results: The proposed system can deliver reliable results with a specificity of 0.99 and a sensitivity of 0.77 for fetal movement time series signal classification. Conclusion: The proposed wearable system will provide a good alternative to optimize the use of medical professionals and hospital resources, and has potential applications in the field of e-Health home care. Besides, the fetal movement acceleration signals acquired with volunteers (pregnant women) help establish an initial database for future medical analysis of sensor-recorded fetal behaviors.Show less >
Show more >Objectives: This paper presents a novel wearable system for in-home and long-term fetal movement monitoring on a reliable and easily accessible basis. Material and methods: The system mainly consists of four accelerometers for fetal movement signal acquisition, a microcontroller for signal processing and an Android-based device interacting with the microcontroller via Bluetooth Low Energy (BLE), providing the mother with information related to the fetal movement in an intelligible way. Results: The proposed system can deliver reliable results with a specificity of 0.99 and a sensitivity of 0.77 for fetal movement time series signal classification. Conclusion: The proposed wearable system will provide a good alternative to optimize the use of medical professionals and hospital resources, and has potential applications in the field of e-Health home care. Besides, the fetal movement acceleration signals acquired with volunteers (pregnant women) help establish an initial database for future medical analysis of sensor-recorded fetal behaviors.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Submission date :
2023-06-20T11:36:57Z
2024-03-15T13:15:46Z
2024-03-15T13:15:46Z
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