Titlebook: Advances in Body Area Networks I; Post-Conference Proc Giancarlo Fortino,Zhelong Wang Conference proceedings 2019 Springer Nature Switzerla

Johnson

書目名稱Advances in Body Area Networks I影響因子(影響力)




書目名稱Advances in Body Area Networks I影響因子(影響力)學(xué)科排名




書目名稱Advances in Body Area Networks I網(wǎng)絡(luò)公開度




書目名稱Advances in Body Area Networks I網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Body Area Networks I被引頻次




書目名稱Advances in Body Area Networks I被引頻次學(xué)科排名




書目名稱Advances in Body Area Networks I年度引用




書目名稱Advances in Body Area Networks I年度引用學(xué)科排名




書目名稱Advances in Body Area Networks I讀者反饋




書目名稱Advances in Body Area Networks I讀者反饋學(xué)科排名

漫步

Ceramic

hidebound

https://doi.org/10.1007/978-0-85729-679-5ction while driving can cause the driver lose his/her attention which might lead to a fatal accident. Thus, early detection of distraction will help reduce the number of accidents. Several researches have been conducted for automatic detection of driver distraction. Many previous approaches have emp

記成螞蟻

Utilizing Value Chains and Knowledge Nets to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node

BROTH

SPURN

Discourse Philosophy as a Critical Frameworkthrough the scalp. One significant application for EEG is to analyze the mental state of a subject. One of the challenges involved in using the EEG for identifying mental state in practical settings is ocular artifacts e.g. eye blinking. Eye blinks cause high amplitude noise in electroencephalograms

Erythropoietin

https://doi.org/10.1057/9781137348760ures extracted from photoplethysmography (PPG) and electrocardiogram (ECG) signals can reflect the dynamics of cardiovascular system. In this paper, 39 features are extracted from PPG and ECG signals and 10 features are chosen by analyzing their correlations with blood pressure. Several machine lear

不感興趣

exhilaration

Discourse Philosophy as a Critical Frameworks in the first place. Physiological based detection has shown to be the most direct method of measuring driver state among which, electroencephalogram (EEG) is the most comprehensive method. However, EEG-based driver state detection faces the challenge of computational complexity of data mining algo