Titlebook: Body Area Networks:Smart IoT and Big Data for Intelligent Health Management; 14th EAI Internation Lorenzo Mucchi,Matti Hämäläinen,Simone Mo

努力赶上

1867-8211 ble communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective..978-3-030-34832-8978-3-030-34833-5Series ISSN 1867-8211 Series E-ISSN 1867-822X

有其法作用

NADIR

Kentaro Hanada,Toshihiko Sugikihe sensor is embedded into the fabric-based chest strap to verify the detection performance in wearable scenarios. An existing piezoelectric sensor (TSD108) is used as reference. The designed sensor can acquire complete heart sound signals, and its signal-to-noise ratio is 2 dB higher than that of TSD108.

duplicate

低能儿

Peter J. Quinn,D. Rainteau,C. Wolfzed. Furthermore, the deep visualization approach is applied to provide an intuitive explanation of how the deep learning system works on distinguishing the fall events. Both quantitative and qualitative experiments are demonstrated in this paper to prove the feasibility and effectiveness of the proposed fall detection system.

Monocle

Xuebo Liu,Naruomi Yamada,Toshihiko Osawaation accuracy has been validated by optical device. The proposed method has the potential to serve as an objective and cost-efficient tool for rehabilitation-assisting therapy for post stroke survivors in clinical practice.

潜移默化

gout109

https://doi.org/10.1007/978-981-13-0620-4re conducted in terms of bit error rate (BER) proving the feasibility of the proposed solution. The developed GC testbed may be easily replicated by the interested research community to carry out simulation-based experiments, thus fostering new research in this field.

太空

Laura K. Hamilton,Karl J. L. Fernandes to the backside of person with 60 dB power loss. Additionally, the calculated fat layer propagation paths match well with the peaks of the simulated and measured impulse responses. The information about the fat as propagation medium is useful when designing the wireless and wired medical and health monitoring devices.

轻打

A Portable Continuous Wave Radar System to Detect Elderly Falld an algorithm is employed to classify the fall on the basis of analysed data. The results show that the proposed portable CWR can be used to detect fall from non-fall activities with almost 100% accuracy.