By Mireya Fernández-Chimeno, Pedro L. Fernandes, Sergio Alvarez, Deborah Stacey, Jordi Solé-Casals, Ana Fred, Hugo Gamboa (eds.)
This publication constitutes the completely refereed post-conference court cases of the sixth foreign Joint convention on Biomedical Engineering platforms and applied sciences, BIOSTEC 2013, held in Barcelona, Spain, in February 2013. The 28 revised complete papers provided have been rigorously reviewed and chosen from a complete of 392 submissions. The papers hide quite a lot of subject matters and are equipped in 4 normal topical sections on biomedical electronics and units; bioinformatics versions, tools and algorithms; bio-inspired structures and sign processing; healthiness informatics.
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Extra info for Biomedical Engineering Systems and Technologies: 6th International Joint Conference, BIOSTEC 2013, Barcelona, Spain, February 11-14, 2013, Revised Selected Papers
It can be appreciated that, as expected, the amplitude of the signals picked up by the ringedelectrodes of the array is smaller than that of the bipolar recordings with disc electrodes. Nevertheless, the conventional bipolar recordings present stronger ECG interference as it can be easily observed in this ﬁgure. In the signals from concentric ring electrodes the electrocardiographic interference is almost null. It can only be hardly appreciated in the signal corresponding to electrode 1 (Lp1) which is placed on the left side of the subject.
2 dB and consumes 165 µW. Compared to existing low-power designs the proposed modulator performs very well balancing SNDR and power consumption. Table 2 compares the performance of the proposed modulator against existing designs. The proposed design provides an overall better tradeoﬀ between noise and power consumption. References 1. : Low power integrated potentiostat design for µelectrodes with improved accuracy. In: 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS), pp.
Monitoring Drivers’ Ventilation Using an Electrical Bioimpedance System 25 References 1. : Driver sleepiness and individual diﬀerences in preferences for countermeasures. J. Sleep. Res. 17, 16–22 (2008) 2. : Vision-based drowsiness detector for a realistic driving simulator. In: 13th International IEEE Conference on Intelligent Transportation Systems, Portugal, pp. 887–894 (2010) 3. : EEG and HRV markers of sleepiness and loss of control during car driving. In: Proceedings of the 30th Annual International Conference of the IEEE EMBS, Vancouver, pp.