title: Stroke damage detection using classification trees on electrical bioimpedance cerebral spectroscopy measurements.
abstract: After cancer and cardio-vascular disease, stroke is the third greatest cause of death worldwide. Given the limitations of the current imaging technologies used for stroke diagnosis, the need for portable non-invasive and less expensive diagnostic tools is crucial. Previous studies have suggested that electrical bioimpedance (EBI) measurements from the head might contain useful clinical information related to changes produced in the cerebral tissue after the onset of stroke. In this study, we recorded 720 EBI Spectroscopy (EBIS) measurements from two different head regions of 18 hemispheres of nine subjects. Three of these subjects had suffered a unilateral haemorrhagic stroke. A number of features based on structural and intrinsic frequency-dependent properties of the cerebral tissue were extracted. These features were then fed into a classification tree. The results show that a full classification of damaged and undamaged cerebral tissue was achieved after three hierarchical classification steps. Lastly, the performance of the classification tree was assessed using Leave-One-Out Cross Validation (LOO-CV). Despite the fact that the results of this study are limited to a small database, and the observations obtained must be verified further with a larger cohort of patients, these findings confirm that EBI measurements contain useful information for   assessing on the health of brain tissue after stroke and supports the hypothesis that classification features based on Cole parameters, spectral information and the geometry of EBIS measurements are useful to differentiate between healthy and stroke damaged brain tissue.
authors: School of Technology and Health, Royal Institute of Technology, Huddinge, Sweden. atefi@kth.se
authors: Seyed Reza
authors: SR
authors: Atefi
authors: Fernando
authors: F
authors: Seoane
authors: Thorleif
authors: T
authors: Thorlin
authors: Kaj
authors: K
authors: Lindecrantz
mesh_terms: D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D058266:Dielectric Spectroscopy / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020521:Stroke / Q000175:diagnosis* / Q000503:physiopathology*
references: Phys Med Biol. 1996 Nov;41(11):2251-69
references: 8938025
references: Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3779-82
references: 19964815
references: Neurol Res. 2006 Jan;28(1):31-7
references: 16464360
references: Physiol Meas. 2011 May;32(5):585-98
references: 21478567
references: Physiol Meas. 2011 Sep;32(9):1373-87
references: 21775797
references: Brain Res. 2002 Jul 26;945(1):97-105
references: 12113956
references: Phys Med Biol. 1996 Nov;41(11):2231-49
references: 8938024
references: IEEE Trans Biomed Eng. 2009 Feb;56(2):525-8
references: 19342332
references: Clin Phys Physiol Meas. 1992 Feb;13(1):63-75
references: 1563222
references: Phys Med Biol. 1996 Nov;41(11):2271-93
references: 8938026
references: Physiol Meas. 2001 Feb;22(1):167-75
references: 11236877
references: Clin Phys Physiol Meas. 1988;9 Suppl A:111-9
references: 3240638
references: Int J Bioelectromagn. 2010 Jan 1;12(1):32-46
references: 21152370
references: Physiol Meas. 2004 Dec;25(6):1371-84
references: 15712716
references: Acta Paediatr Scand Suppl. 1970;207:Suppl 207:1+
references: 5280362
references: Aviat Space Environ Med. 2003 May;74(5):506-11
references: 12751577
references: Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:126-9
references: 23365848
references: Neuroscience. 2006 Jun 30;140(2):505-15
references: 16580141
references: Circulation. 2008 Jan 29;117(4):e25-146
references: 18086926
references: Stroke. 2009 Aug;40(8):2945-8
references: 19478221
references: PLoS One. 2013 May 14;8(5):e63223
references: 23691001
references: Stroke. 1991 Apr;22(4):516-21
references: 2024281
references: Lancet. 2008 May 10;371(9624):1612-23
references: 18468545
references: Nephrol Ther. 2009 Jul;5 Suppl 5:S317-22
references: 19761966
references: Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3495-8
references: 21097029
references: Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:1188-91
references: 19162878
references: IEEE Trans Biomed Eng. 2004 Dec;51(12):2097-102
references: 15605856
references: Physiol Meas. 2005 Apr;26(2):S1-17
references: 15798222
references: Brain Res. 2003 Apr 18;969(1-2):160-7
references: 12676376
references: J Med Syst. 2002 Oct;26(5):445-63
references: 12182209
references: Circulation. 2013 Jan 1;127(1):e6-e245
references: 23239837
references: Lancet Neurol. 2005 Nov;4(11):727-34
references: 16239179
references: Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3368-71
references: 23366648
references: Conf Proc IEEE Eng Med Biol Soc. 2004;2004:3443-6
references: 17271025
references: Am J Physiol. 1956 Sep;187(1):180-92
references: 13362612
references: Med Biol Eng Comput. 1987 Jan;25(1):2-11
references: 2826937
references: Acta Neurochir Suppl. 2005;95:137-40
references: 16463838
references: Clin Phys Physiol Meas. 1992 Feb;13(1):77-86
references: 1563223
references: Physiol Meas. 1998 May;19(2):247-61
references: 9626689
references: Physiol Meas. 2005 Oct;26(5):849-63
references: 16088073
references: Lancet. 2010 May 15;375(9727):1695-703
references: 20472172
references: IEEE Trans Biomed Eng. 2003 Dec;50(12):1352-9
references: 14656064
references: Physiol Meas. 2009 Jun;30(6):S103-20
references: 19491447