A wearable sensor system for neonatal seizure monitoring

H. Chen; X. Gu; Z. Mei; K.  Xu; K. Yan; C. Lu; L.  Wang; F. Shu; Q. Xu; S. Bambang Oetomo; W. Chen

doi:10.1109/BSN.2017.7935999

A wearable sensor system for neonatal seizure monitoring

H. Chen, X. Gu, Z. Mei, K. Xu, K. Yan, C. Lu, L. Wang, F. Shu, Q. Xu, S. Bambang Oetomo, W. Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

19 Citations (Scopus)

Abstract

Abstract—A novel wearable sensor system for seizure monitoring of neonates comprised of smart clothing, video recording and cloud platform is presented. Textile electrodes and Inertial Measurement Unit (IMU) are embedded in the smart clothing to obtain ECG signal and motion signal whereby epileptic seizure detection algorithm is performed. Moreover, a video monitoring module provides real-time information about patients. The cloud platform receives the pre-processed data and enables remote monitoring, centralized signal processing and data management. Comparison with commercial instruments shows that the smart clothing is capable of acquiring high-quality signals. Pilot tests under disinfection operations at Children’s Hospital of Fudan University confirm clinical feasibility of the proposed system. The scalability and modularity of the unobtrusive wearable front end and the design of system architecture based on cloud enable the whole system with great potential in clinical practice and home monitoring scenarios.

Original language	English
Title of host publication	2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	27-30
Number of pages	4
ISBN (Electronic)	978-1-5090-6244-7
ISBN (Print)	978-1-5090-6245-4
DOIs	https://doi.org/10.1109/BSN.2017.7935999
Publication status	Published - 30 May 2017
Event	14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017) - Eindhoven, Netherlands Duration: 9 May 2017 → 12 May 2017 Conference number: 14

Conference

Conference	14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017)
Abbreviated title	BSN 2017
Country/Territory	Netherlands
City	Eindhoven
Period	9/05/17 → 12/05/17

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BSN.2017.7935999

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Chen, H., Gu, X., Mei, Z., Xu, K., Yan, K., Lu, C., Wang, L., Shu, F., Xu, Q., Bambang Oetomo, S., & Chen, W. (2017). A wearable sensor system for neonatal seizure monitoring. In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands (pp. 27-30). Article 7935999 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BSN.2017.7935999

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title = "A wearable sensor system for neonatal seizure monitoring",

abstract = "Abstract—A novel wearable sensor system for seizure monitoring of neonates comprised of smart clothing, video recording and cloud platform is presented. Textile electrodes and Inertial Measurement Unit (IMU) are embedded in the smart clothing to obtain ECG signal and motion signal whereby epileptic seizure detection algorithm is performed. Moreover, a video monitoring module provides real-time information about patients. The cloud platform receives the pre-processed data and enables remote monitoring, centralized signal processing and data management. Comparison with commercial instruments shows that the smart clothing is capable of acquiring high-quality signals. Pilot tests under disinfection operations at Children{\textquoteright}s Hospital of Fudan University confirm clinical feasibility of the proposed system. The scalability and modularity of the unobtrusive wearable front end and the design of system architecture based on cloud enable the whole system with great potential in clinical practice and home monitoring scenarios.",

author = "H. Chen and X. Gu and Z. Mei and K. Xu and K. Yan and C. Lu and L. Wang and F. Shu and Q. Xu and {Bambang Oetomo}, S. and W. Chen",

year = "2017",

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doi = "10.1109/BSN.2017.7935999",

language = "English",

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booktitle = "2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017), BSN 2017 ; Conference date: 09-05-2017 Through 12-05-2017",

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Chen, H, Gu, X, Mei, Z, Xu, K, Yan, K, Lu, C, Wang, L, Shu, F, Xu, Q, Bambang Oetomo, S & Chen, W 2017, A wearable sensor system for neonatal seizure monitoring. in 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands., 7935999, Institute of Electrical and Electronics Engineers, Piscataway, pp. 27-30, 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017), Eindhoven, Netherlands, 9/05/17. https://doi.org/10.1109/BSN.2017.7935999

A wearable sensor system for neonatal seizure monitoring. / Chen, H.; Gu, X.; Mei, Z. et al.
2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands. Piscataway: Institute of Electrical and Electronics Engineers, 2017. p. 27-30 7935999.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

TY - GEN

T1 - A wearable sensor system for neonatal seizure monitoring

AU - Chen, H.

AU - Gu, X.

AU - Mei, Z.

AU - Xu, K.

AU - Yan, K.

AU - Lu, C.

AU - Wang, L.

AU - Shu, F.

AU - Xu, Q.

AU - Bambang Oetomo, S.

AU - Chen, W.

N1 - Conference code: 14

PY - 2017/5/30

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N2 - Abstract—A novel wearable sensor system for seizure monitoring of neonates comprised of smart clothing, video recording and cloud platform is presented. Textile electrodes and Inertial Measurement Unit (IMU) are embedded in the smart clothing to obtain ECG signal and motion signal whereby epileptic seizure detection algorithm is performed. Moreover, a video monitoring module provides real-time information about patients. The cloud platform receives the pre-processed data and enables remote monitoring, centralized signal processing and data management. Comparison with commercial instruments shows that the smart clothing is capable of acquiring high-quality signals. Pilot tests under disinfection operations at Children’s Hospital of Fudan University confirm clinical feasibility of the proposed system. The scalability and modularity of the unobtrusive wearable front end and the design of system architecture based on cloud enable the whole system with great potential in clinical practice and home monitoring scenarios.

AB - Abstract—A novel wearable sensor system for seizure monitoring of neonates comprised of smart clothing, video recording and cloud platform is presented. Textile electrodes and Inertial Measurement Unit (IMU) are embedded in the smart clothing to obtain ECG signal and motion signal whereby epileptic seizure detection algorithm is performed. Moreover, a video monitoring module provides real-time information about patients. The cloud platform receives the pre-processed data and enables remote monitoring, centralized signal processing and data management. Comparison with commercial instruments shows that the smart clothing is capable of acquiring high-quality signals. Pilot tests under disinfection operations at Children’s Hospital of Fudan University confirm clinical feasibility of the proposed system. The scalability and modularity of the unobtrusive wearable front end and the design of system architecture based on cloud enable the whole system with great potential in clinical practice and home monitoring scenarios.

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DO - 10.1109/BSN.2017.7935999

M3 - Conference contribution

SN - 978-1-5090-6245-4

SP - 27

EP - 30

BT - 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 9-12 May 2017, Eindhoven, The Netherlands

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2017)

Y2 - 9 May 2017 through 12 May 2017

ER -

A wearable sensor system for neonatal seizure monitoring

Abstract

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