[go: up one dir, main page]

Srebro, 1996 - Google Patents

An iterative approach to the solution of the inverse problem

Srebro, 1996

Document ID
3151986372707983426
Author
Srebro R
Publication year
Publication venue
Electroencephalography and clinical Neurophysiology

External Links

Snippet

The bioelectric inverse problem is framed as a search through a feasible set of solutions for one that is physiologically plausible. The definition of the feasible set of solutions takes into account the important effects of measurement noise. This leads to an iterative approach. At …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0536Impedance imaging, e.g. by tomography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04005Detecting magnetic fields produced by bio-electric currents
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/45For evaluating or diagnosing the musculoskeletal system or teeth
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/04Arrangements of multiple sensors of the same type
    • A61B2562/046Arrangements of multiple sensors of the same type in a matrix array
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance

Similar Documents

Publication Publication Date Title
Gorodnitsky et al. Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm
Baillet et al. Electromagnetic brain mapping
Oostendorp et al. The conductivity of the human skull: results of in vivo and in vitro measurements
EP1049402B1 (en) Method for measuring, estimating and displaying rms current density maps
Jeffs et al. An evaluation of methods for neuromagnetic image reconstruction
US5119816A (en) EEG spatial placement and enhancement method
Babiloni et al. High resolution EEG: a new model-dependent spatial deblurring method using a realistically-shaped MR-constructed subject's head model
Phillips et al. Imaging neural activity using MEG and EEG
Jun et al. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data
Srebro An iterative approach to the solution of the inverse problem
van't Ent et al. A fast method to derive realistic BEM models for E/MEG source reconstruction
Wolters et al. Comparing regularized and non-regularized nonlinear dipole fit methods: a study in a simulated sulcus structure
Chen et al. Maximum contrast beamformer for electromagnetic mapping of brain activity
Hirata et al. High-resolution EEG source localization in personalized segmentation-free head model with multi-dipole fitting
Srebro Iterative refinement of the minimum norm solution of the bioelectric inverse problem
George et al. Anatomical constraints for neuromagnetic source models
Smith Estimation of the spatio-temporal correlations of biological electrical sources from their magnetic fields
Iivanainen et al. Spatial sampling of MEG and EEG revisited: From spatial-frequency spectra to model-informed sampling
Iivanainen et al. Sampling theory for spatial field sensing: Application to electro-and magnetoencephalography
Srebro Continuous current source inversion of evoked potential fields in a spherical model head
Auranen et al. Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles
Dong et al. The application of the generalized vector sample pattern matching method for EIT image reconstruction
Heller et al. Electric and magnetic fields of the brain
Hallez Incorporation of anisotropic conductivities in EEG source analysis
Khosla et al. A maximum-entropy method for MEG source imaging