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Hongyu Chen
Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China.

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Review
Published: 14 December 2016 in Sensors
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Characteristics of physical movements are indicative of infants’ neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology, including the miniaturization of sensors, and the increasing broad application of micro- and nanotechnology, and smart fabrics in wearable sensor systems, it is now possible to collect, store, and process multimodal signal data of infant movements in a more efficient, more comfortable, and non-intrusive way. This review aims to depict the state-of-the-art of wearable sensor systems for infant movement monitoring. We also discuss its clinical significance and the aspect of system design.

ACS Style

Hongyu Chen; Mengru Xue; Zhenning Mei; Sidarto Bambang Oetomo; Wei Chen. A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates. Sensors 2016, 16, 2134 .

AMA Style

Hongyu Chen, Mengru Xue, Zhenning Mei, Sidarto Bambang Oetomo, Wei Chen. A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates. Sensors. 2016; 16 (12):2134.

Chicago/Turabian Style

Hongyu Chen; Mengru Xue; Zhenning Mei; Sidarto Bambang Oetomo; Wei Chen. 2016. "A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates." Sensors 16, no. 12: 2134.