A novel shape analysis technique for somatosensory evoked potentials

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4688-4691

  Agrawal, Gracee ^a   Sherman, David ^b   Thakor, Nitish ^c   All, Angelo ^c  

^a Johns Hopkins University   (United States)

^b Infinite Biomedical Technologies   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY; SIGNAL TO NOISE RATIO;

HIGH POTENTIAL; INJURED SPINAL CORDS; SHAPE ANALYSIS; SIGNAL TO NOISE; SLOPE INFORMATION; SOMATOSENSORY EVOKED POTENTIALS; SPINAL CORD INJURIES (SCI); THORACIC VERTEBRAE;

TIME DOMAIN ANALYSIS;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; EVOKED SOMATOSENSORY RESPONSE; FEMALE; FISCHER 344 RAT; INFORMATION PROCESSING; PATHOLOGY; PATHOPHYSIOLOGY; RAT; REPRODUCIBILITY; SPINAL CORD; SPINAL CORD COMPRESSION; STATISTICAL MODEL; SYNAPTIC POTENTIAL; TIME;

ALGORITHMS; ANIMALS; AUTOMATIC DATA PROCESSING; EVOKED POTENTIALS, SOMATOSENSORY; FEMALE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RATS; RATS, INBRED F344; REPRODUCIBILITY OF RESULTS; SPINAL CORD; SPINAL CORD COMPRESSION; SYNAPTIC POTENTIALS; TIME FACTORS;

EID: 61849161167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650259     Document Type: Conference Paper

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