IEEE Sensors Journal
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#1Kieran Woodward (NTU: Nottingham Trent University)H-Index: 4
#2Eiman Kanjo (NTU: Nottingham Trent University)H-Index: 17
The ability to unobtrusively measure mental wellbeing states using non-invasive sensors has the potential to greatly improve mental wellbeing by alleviating the effects of high stress levels. Multiple sensors, such as electrodermal activity, heart rate and accelerometers, embedded within tangible devices pave the way to continuously and non-invasively monitor wellbeing in real-world environments. On the other hand, fidgeting tools enable repetitive interaction methods that may help to tap into i...
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#1Daniele Salvati (University of Udine)H-Index: 9
#2Carlo Drioli (University of Udine)H-Index: 14
Last. Gian Luca Foresti (University of Udine)H-Index: 40
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#1Rosario MorelloH-Index: 15
#2Emiliano Schena (Università Campus Bio-Medico)H-Index: 29
Last. Pat Pataranutaporn (MIT: Massachusetts Institute of Technology)H-Index: 5
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Sensor technology and advanced sensing systems are today experiencing a radical transformation which is affecting the way to conceive daily life. Sensors and sensing systems may improve the quality of life by providing more and more efficient care, safety, and new services for better living.
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#1Gege Ma (University of Bath)H-Index: 1
#2Manuchehr Soleimani (University of Bath)H-Index: 30
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#1Pengfei Cao (Lanzhou University)H-Index: 6
#2Yuan Li (Lanzhou University)H-Index: 1
Last. Lin Cheng (Lanzhou University)H-Index: 7
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#1Khanh Nguyen-Trong (Posts and Telecommunications Institute of Technology)H-Index: 1
#2Hoai Nam Vu (Posts and Telecommunications Institute of Technology)
Last. Cuong Pham (Posts and Telecommunications Institute of Technology)H-Index: 13
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#1Li Qinghui (National University of Defense Technology)
#2Wang Xiaolei (National University of Defense Technology)
Last. Xichuan Liu (National University of Defense Technology)
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#1Dakun Lai (University of Electronic Science and Technology of China)H-Index: 11
#2Xiaobiao Fan (University of Electronic Science and Technology of China)H-Index: 1
Last. Wenjing Chen (Sichuan University)H-Index: 1
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Ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) of a heart rate over 180 beats min-1, commonly known as shockable rhythms (ShR), are life-threatening ventricular arrhythmias. This study was to assess the feasibility of feeding two-dimensional (2D) time-frequency maps of electrocardiogram (ECG) segment into deep convolutional neural network (CNN) to automatically detect ShR with emphases on optimizing the CNN model and shortening the analysis segment. A total of 115 single-le...
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#1Manish Kalra (AcSIR: Academy of Scientific and Innovative Research)H-Index: 3
#2Satish Kumar (AcSIR: Academy of Scientific and Innovative Research)H-Index: 9
Last. Bhargab Das (AcSIR: Academy of Scientific and Innovative Research)H-Index: 11
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In the above article null [1] , the second and third paragraphs of footnote should be read as follows:
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#1Mariya Aleksandrova (Technical University of Sofia)H-Index: 7
#2Svetozar Andreev (Technical University of Sofia)H-Index: 4
In this paper, the design considerations and basic equations related to thick-film screen-printed sensing devices are included. The geometry of the device and the patterns of the functional sensing film, or of the electrodes are taken into account for the determination of the operational frequency, noise voltage, quality factor and other key parameters, related to the proper work of the resistive, capacitive and surface acoustic wave based sensors. The determination of some parasitic components ...
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