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Wearable electroencephalography. What is it, why is it needed, and what does it entail?
Casson A, Yates D, Smith S, Duncan J, Rodriguez-Villegas E. Casson A, et al. IEEE Eng Med Biol Mag. 2010 May-Jun;29(3):44-56. doi: 10.1109/MEMB.2010.936545. IEEE Eng Med Biol Mag. 2010. PMID: 20659857
The electroencephalogram (EEG) is a classic noninvasive method for measuring a person's brain waves and is used in a large number of fields: from epilepsy and sleep disorder diagnosis to brain-computer interfaces (BCIs). ...As a part of our review, we …
The electroencephalogram (EEG) is a classic noninvasive method for measuring a person's brain waves and is used in a la …
An analogue bandpass filter realisation of the Continuous Wavelet Transform.
Casson AJ, Yates DC, Patel S, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:1850-4. doi: 10.1109/IEMBS.2007.4352675. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18002341
The Continuous Wavelet Transform (CWT) is a highly useful signal processing technique for which low power implementations are desirable, for example to allow the transform to be used in battery powered, portable devices. This paper describes a Low Power CWT (LPCWT) …
The Continuous Wavelet Transform (CWT) is a highly useful signal processing technique for which low power implementations are desirab …
Algorithm for AEEG data selection leading to wireless and long term epilepsy monitoring.
Casson AJ, Yates DC, Patel S, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:2456-9. doi: 10.1109/IEMBS.2007.4352825. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18002491
Given this, a brief review of spike detection algorithms is carried out with a view to using these algorithms to drive the data reduction process. A CWT based algorithm is deemed most suitable for use and an algorithm is described in detail and its performanc …
Given this, a brief review of spike detection algorithms is carried out with a view to using these algorithms to drive the dat …
Performance metrics for the accurate characterisation of interictal spike detection algorithms.
Casson AJ, Luna E, Rodriguez-Villegas E. Casson AJ, et al. J Neurosci Methods. 2009 Mar 15;177(2):479-87. doi: 10.1016/j.jneumeth.2008.10.010. Epub 2008 Oct 21. J Neurosci Methods. 2009. PMID: 19007811
The factors are found to have a significant effect on the appearance of the results and the performance level that the algorithm appears to achieve. Four different weighting factors are considered and a duration divided by the number of events weighting is recommend …
The factors are found to have a significant effect on the appearance of the results and the performance level that the algorithm appe …
Wearable EEG: what is it, why is it needed and what does it entail?
Casson AJ, Smith S, Duncan JS, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:5867-70. doi: 10.1109/IEMBS.2008.4650549. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19164052 Review.
This paper presents a review of wearable EEG technology: the evolution of ambulatory EEG units from the bulky, limited lifetime devices available today to small devices present only on the head that can record the EEG for days, weeks or months at a time. ...A
This paper presents a review of wearable EEG technology: the evolution of ambulatory EEG units from the bulky, limited lifetime devic …
Generic vs custom; analogue vs digital: on the implementation of an online EEG signal processing algorithm.
Casson AJ, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:5876-80. doi: 10.1109/IEMBS.2008.4650551. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19164054
On data reduction in EEG monitoring: comparison between ambulatory and non-ambulatory recordings.
Casson AJ, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:5885-8. doi: 10.1109/IEMBS.2008.4650553. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19164056
METHODS: A total of 167 hours of EEG data containing 899 marked interictal events is analysed to determine the percentage of events correctly recorded (the sensitivity) and the amount of data reduction achieved. ...SIGNIFICANCE: Demonstrates that the processing of EEG data …
METHODS: A total of 167 hours of EEG data containing 899 marked interictal events is analysed to determine the percentage of events c …
Toward online data reduction for portable electroencephalography systems in epilepsy.
Casson AJ, Rodriguez-Villegas E. Casson AJ, et al. IEEE Trans Biomed Eng. 2009 Dec;56(12):2816-25. doi: 10.1109/TBME.2009.2027607. Epub 2009 Jul 28. IEEE Trans Biomed Eng. 2009. PMID: 19643698
MATLAB simulations of the algorithm on an EEG dataset containing 982 expert marked events in 4 days of data show that 90% of events can be correctly recorded while achieving a 50% data reduction. The described algorithm is formulated to have a direct, low power, har …
MATLAB simulations of the algorithm on an EEG dataset containing 982 expert marked events in 4 days of data show that 90% of events can be c …
Standard filter approximations for low power Continuous Wavelet Transforms.
Casson AJ, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:646-9. doi: 10.1109/IEMBS.2010.5627245. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21096545
Present analogue CWT implementations rely on taking mathematical a approximation of the wanted mother wavelet function to give a filter transfer function that is suitable for circuit implementation. ...
Present analogue CWT implementations rely on taking mathematical a approximation of the wanted mother wavelet function to give a
An introduction to future truly wearable medical devices--from application to ASIC.
Casson AJ, Logesparan L, Rodriguez-Villegas E. Casson AJ, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3430-1. doi: 10.1109/IEMBS.2010.5627898. Annu Int Conf IEEE Eng Med Biol Soc. 2010. PMID: 21097253
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