Download Biomedical Engineering Systems and Technologies: 4th by Bruno Sobral, Chunhong Mao, Maulik Shukla, Dan Sullivan, PDF

By Bruno Sobral, Chunhong Mao, Maulik Shukla, Dan Sullivan, Chengdong Zhang (auth.), Ana Fred, Joaquim Filipe, Hugo Gamboa (eds.)

This booklet constitutes the completely refereed post-conference court cases of the 4th overseas Joint convention on Biomedical Engineering structures and applied sciences, BIOSTEC 2011, held in Rome, Italy, in January 2011. The 27 revised complete papers provided including one invited lecture have been rigorously reviewed and chosen from a complete of 538 submissions. The papers hide a variety of subject matters and are equipped in 4 normal topical sections on biomedical electronics and units; bioinformatics types, equipment and algorithms; bio-inspired platforms and sign processing; well-being informatics.

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Extra resources for Biomedical Engineering Systems and Technologies: 4th International Joint Conference, BIOSTEC 2011, Rome, Italy, January 26-29, 2011, Revised Selected Papers

Sample text

The mean HR for these segments ranged from 53 to 142 bpm. org [5]. The ECG waveform was used as the reference recording for computing HR. A technician independently validated the reference measurement using the CapnoBase Signal Evaluation Tool [5]. The mean ECG HR of a sliding window was calculated. The window size was set to 20 s; a size that corresponds to that commonly used in commercial pulse oximeters. In addition, the technician labeled the beginning and end of all artifacts in the PPG waveform.

We compared HR estimates obtained from these four methods to the reference HR obtained from a electrocardiogram. The two vocoder methods performed at least as well as the two traditional methods in terms of normalized root mean sqare error and robustness towards artifacts. Experiments on a mobile device prototype showed comparable speed performance of the vocoder algorithms with the Pan-Tompkins algorithm while the frequency domain approach was nearly two orders of magnitude slower. These results point to further developments using a combination of both vocoder HR estimation methods that will enable the robust implementation of adaptive phase vocoders into mobile device health applications.

C Springer-Verlag Berlin Heidelberg 2013 32 W. Karlen et al. theme in this area is the use of general purpose consumer devices, in particular smart phones. An increasing number of health care applications use these mobile platforms to interface directly to physiological sensors, such as heart rate (HR) detectors. This reduces or eliminates the cost of custom embedded hardware. However, features such as increased noise level, limited battery and computational resources, and the requirement for on-line processing challenge the accurate, real-time detection of physiological parameters, such as HR peaks.

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