C J James

Summary

Affiliation: University of Southampton
Country: UK

Publications

  1. ncbi Distinguishing low frequency oscillations within the 1/f spectral behaviour of electromagnetic brain signals
    Charmaine Demanuele
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton, UK
    Behav Brain Funct 3:62. 2007
  2. ncbi Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings
    Christopher J James
    ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:3336-9. 2008
  3. ncbi Space-time ICA versus Ensemble ICA for ictal EEG analysis with component differentiation via Lempel-Ziv complexity
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5473-6. 2007
  4. ncbi On spatio-temporal component selection in space-time independent component analysis: an application to ictal EEG
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, SO17 1BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:3154-7. 2009
  5. ncbi Seizure prediction for epilepsy using a multi-stage phase synchrony based system
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, SO171 BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:25-8. 2009
  6. ncbi Blind source separation in single-channel EEG analysis: an application to BCI
    C J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc . 2006
  7. ncbi On the analysis of single versus multiple channels of electromagnetic brain signals
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton SO17 1BJ, United Kingdom
    Artif Intell Med 37:131-43. 2006
  8. ncbi Independent component analysis for biomedical signals
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton SO17 IBJ, UK
    Physiol Meas 26:R15-39. 2005
  9. ncbi Objective source selection in Blind Source Separation of AEPs in children with Cochlear Implants
    N Castañeda-Villa
    ISVR, University of Southampton, SO171BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:6224-7. 2007
  10. ncbi Focal artifact removal from ongoing EEG--a hybrid approach based on spatially-constrained ICA and wavelet de-noising
    Muhammad Tahir Akhtar
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:4027-30. 2009

Detail Information

Publications27

  1. ncbi Distinguishing low frequency oscillations within the 1/f spectral behaviour of electromagnetic brain signals
    Charmaine Demanuele
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton, UK
    Behav Brain Funct 3:62. 2007
    ..abstract:..
  2. ncbi Contrasting spatial, temporal and spatio-temporal ICA applied to ictal EEG recordings
    Christopher J James
    ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:3336-9. 2008
    ..This work is being expanded for seizure onset analysis through scalp EEG...
  3. ncbi Space-time ICA versus Ensemble ICA for ictal EEG analysis with component differentiation via Lempel-Ziv complexity
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5473-6. 2007
    ..This work is being further expanded for seizure onset analysis...
  4. ncbi On spatio-temporal component selection in space-time independent component analysis: an application to ictal EEG
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, SO17 1BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:3154-7. 2009
    ..We test this on ictal EEG segments where it can be seen that different underlying processes possess characteristic signatures in both modalities which can be utilized for the clustering (or process selection) stage...
  5. ncbi Seizure prediction for epilepsy using a multi-stage phase synchrony based system
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, SO171 BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:25-8. 2009
    ..We show the possibility of seizure onset prediction within a prediction window of 35-65 minutes with a sensitivity of 65-100% and specificity of 65-80% across epileptic patients...
  6. ncbi Blind source separation in single-channel EEG analysis: an application to BCI
    C J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc . 2006
    ..We show that rhythmic activity in the 8 to 12Hz band can be extracted in the case of imagined hand movements for a particular BCI paradigm...
  7. ncbi On the analysis of single versus multiple channels of electromagnetic brain signals
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton SO17 1BJ, United Kingdom
    Artif Intell Med 37:131-43. 2006
    ..In this paper we objectively assess a novel methodology which exploits only a single measurement channel to extract information of interest relatively independent of channel location (relative to the source of interest)...
  8. ncbi Independent component analysis for biomedical signals
    Christopher J James
    Signal Processing and Control Group, ISVR, University of Southampton, Southampton SO17 IBJ, UK
    Physiol Meas 26:R15-39. 2005
    ..Finally, advanced implementations of ICA are illustrated as applied to neurophysiologic signals in the form of electro-magnetic brain signals data...
  9. ncbi Objective source selection in Blind Source Separation of AEPs in children with Cochlear Implants
    N Castañeda-Villa
    ISVR, University of Southampton, SO171BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:6224-7. 2007
    ..Temporal decorrelation based ICA showed the least change in the estimation of both the AEPs and the CI artifact; this has allowed for considerable autonomy in the construction of relevant, consistent clusters...
  10. ncbi Focal artifact removal from ongoing EEG--a hybrid approach based on spatially-constrained ICA and wavelet de-noising
    Muhammad Tahir Akhtar
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2009:4027-30. 2009
    ..Simulation results demonstrate the effectiveness of the proposed approach in removing focal artifacts that can be well separated by SCICA...
  11. ncbi Tracking and detection of epileptiform activity in multichannel ictal EEG using signal subspace correlation of seizure source scalp topographies
    C W Hesse
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton, UK
    Med Biol Eng Comput 45:909-16. 2007
    ....
  12. ncbi The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms
    N Castañeda-Villa
    Audiology Laboratory, at Universidad Autónoma Metropolitana Izt, Mexico
    Conf Proc IEEE Eng Med Biol Soc 2008:5216-9. 2008
    ..We show that the algorithm utilizing temporal structure, such as TDSEP-ICA, is better in estimating the components of the auditory response, in recordings contaminated by CI artifacts, than higher order statistics based algorithms...
  13. ncbi Time-structure based reconstruction of physiological independent sources extracted from noisy abdominal phonograms
    Aída Jiménez-González
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, Southampton SO171BJ, UK
    IEEE Trans Biomed Eng 57:2322-30. 2010
    ..Further research will be conducted on more phonograms and explore alternatives for dimensional reduction and reconstruction of entire time series suitable for surveillance, not only for fetal well-being, but also for maternal condition...
  14. ncbi Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation
    Norma Castañeda-Villa
    Universidad Autónoma Metropolitana Izt, Mexico DF 09340, Mexico
    IEEE Trans Biomed Eng 58:348-54. 2011
    ..All the algorithms estimate the CI artifact reasonably well, although only one SOS algorithm is better positioned to estimate the AEP; this is primarily because it uses the temporal structure of this signal as part of the ICA process...
  15. ncbi Behavioral pattern detection from Personalized Ambient Monitoring
    James D Amor
    Signal Processing and Control Group, ISVR, University of Southampton, Hampshire, UK
    Conf Proc IEEE Eng Med Biol Soc 2010:5193-6. 2010
    ..We present some preliminary results from a technical trial...
  16. ncbi Default-mode brain dysfunction in mental disorders: a systematic review
    Samantha J Broyd
    Institute for Disorders of Impulse and Attention, Developmental Brain Behaviour Laboratory, School of Psychology, University of Southampton, UK
    Neurosci Biobehav Rev 33:279-96. 2009
    ..Finally, we provide an integrative overview and highlight important challenges and tasks for future research...
  17. ncbi Slow neuronal oscillations in the resting brain vs task execution: A BSS investigation of EEG recordings
    Charmaine Demanuele
    Signal Processing and Control Group, ISVR, University of Southampton, SO17 1BJ, UK
    Conf Proc IEEE Eng Med Biol Soc 2010:1638-41. 2010
    ..The methodology and findings presented here provide a new basis for assessing neural activity during various mental conditions...
  18. ncbi On the independent component analysis of evoked potentials through single or few recording channels
    Suogang Wang
    Signal Processing and Control Group, ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5433-6. 2007
    ..These advantages are paramount for building a more reliable and robust system for use in real-world BCI--i.e. for use outside of the clinical laboratory...
  19. ncbi Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG
    Disha Gupta
    Signal Processing and Control Group, ISVR, University of Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:3864-7. 2007
    ..These observations lead us to believe that tracking changes in phase synchronization of narrow band activity, on continuous data records will be of great value in the context of seizure prediction...
  20. ncbi Independent component analysis for extraction of critical features from tongue movement ear pressure signals
    Ravi Vaidyanathan
    Institute of Sound and Vibration Research ISVR, University of Southampton, Southampton, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5481-4. 2007
    ..In future work, these findings are expected to lead to an entirely new generation of unobtrusive human-machine interface mechanisms...
  21. ncbi Tracking and detection of epileptiform activity in multichannel ictal EEG using signal subspace correlation of seizure source scalp topographies
    C W Hesse
    Signal Processing and Control Group, Institute of Sound and Vibration Research, University of Southampton, UK
    Med Biol Eng Comput 43:764-70. 2005
    ....
  22. ncbi Extracting sources from noisy abdominal phonograms: a single-channel blind source separation method
    A Jimenez-Gonzalez
    Institute of Sound and Vibration Research, University of Southampton, Highfield, UK
    Med Biol Eng Comput 47:655-64. 2009
    ..So, this approach extracts physiological sources from noisy abdominal phonograms, and we believe it will be useful for surveillance, not only for foetal well-being but also for maternal condition...
  23. ncbi Altered spontaneous low frequency brain activity in attention deficit/hyperactivity disorder
    Suzannah K Helps
    Institute for Disorders for Impulse and Attention, Developmental Brain Behaviour Laboratory, School of Psychology, University of Southampton, UK
    Brain Res 1322:134-43. 2010
    ..ADHD children may have deficits both in maintaining a resting brain when needed and 'protecting' an active brain from the intrusion of resting state brain activity...
  24. ncbi Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis
    Christopher J James
    Biomedical Information Engineering Research Group, Aston University, Aston Triangle, Birmingham B4 7ET, U K
    IEEE Trans Biomed Eng 50:1108-16. 2003
    ..This paper shows that cICA can be applied with great success to EM brain signal analysis, with an initial application in automating artifact extraction in EEG and MEG...
  25. ncbi On semi-blind source separation using spatial constraints with applications in EEG analysis
    Christian W Hesse
    F C Donders Centre for Cognitive Neuroimaging, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
    IEEE Trans Biomed Eng 53:2525-34. 2006
    ....
  26. ncbi Non-linear analysis of intracranial electroencephalogram recordings with approximate entropy and Lempel-Ziv complexity for epileptic seizure detection
    Daniel Abasolo
    Biomedical Engineering Group, Department of Signal Theory and Communications, ETSI de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011, Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 2007:1953-6. 2007
    ..Our results suggest that these techniques are useful to detect changes due to epileptic seizures in the EEG...
  27. ncbi Extracting multisource brain activity from a single electromagnetic channel
    Christopher J James
    Neural Computing Research Group, Aston University, Aston Triangle, Birmingham B4 7ET, UK
    Artif Intell Med 28:89-104. 2003
    ..The results are intuitive and meaningful in a neurophysiological setting...