Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis

BioMedical Engineering Online

Volumn 10, Issue , 2011, Pages

  Chen, Shih Wei ^a   Lin, Sheng Huang ^a,b   Liao, Lun De ^c   Lai, Hsin Yi ^c   Pei, Yu Cheng ^d   Kuo, Te Son ^a   Lin, Chin Teng ^c   Chang, Jyh Yeong ^c   Chen, You Yin ^c,e   Lo, Yu Chun ^f   Chen, Shin Yuan ^b   Wu, Robby ^g   Tsang, Siny ^h  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TZU CHI UNIVERSITY   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^d CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

^e NATIONAL YANG MING UNIVERSITY   (Taiwan)

^f NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^g PHILADELPHIA COLLEGE OF OSTEOPATHIC MEDICINE   (United States)

^h UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Classification, quantification; Kernel based principal component analysis; Parkinson's disease; Power spectrum

Indexed keywords

ACCURACY RATE; ANALYSIS APPROACH; BINARY SILHOUETTES; CLINICAL ASSESSMENTS; EASE OF USE; GAIT CYCLES; GAIT PARAMETERS; GAIT PATTERN; IMAGE FRAMES; LIGHT-COLORED; LOW-COST SOLUTION; LOWER FREQUENCIES; MONOCULAR VIDEO; MOTOR FUNCTION; PARKINSON'S DISEASE; PRINCIPAL COMPONENTS; STRIDE LENGTH; VISION BASED; WALKING VELOCITY;

COMPUTER AIDED ANALYSIS; COMPUTER VISION; DIGITAL CAMERAS; FREQUENCY BANDS; GAIT ANALYSIS; MEDICAL COMPUTING; NEURODEGENERATIVE DISEASES; POWER SPECTRUM; VIDEO CAMERAS;

PRINCIPAL COMPONENT ANALYSIS;

PARKINSONIA;

ALGORITHM; ARTICLE; GAIT; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; PARKINSON DISEASE; PATHOPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; THEORETICAL MODEL; VIDEORECORDING; WALKING;

ALGORITHMS; GAIT; HUMANS; MODELS, THEORETICAL; NONLINEAR DYNAMICS; PARKINSON DISEASE; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; VIDEOTAPE RECORDING; WALKING;

EID: 80755159368     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-99     Document Type: Article

References (37)

1. Parkinson J. An essay on the shaking palsy. Journal of Neuropsychiatry and Clinical Neurosciences 2002, 14(2):223-236. 10.1176/appi.neuropsych.14.2.223, 11983801.
2. Filion M, Tremblay L. Abnormal spontaneous activity of globus pallidus neurons in monkeys with MPTP-induced parkinsonism. Brain research 1991, 547(1):140-144.
3. Filion M, Tremblay L, Bedard PJ. Abnormal influences of passive limb movement on the activity of globus pallidus neurons in parkinsonian monkeys. Brain research 1988, 444(1):165-176. 10.1016/0006-8993(88)90924-9, 3359286.
4. Lang A, Lozano A. Parkinson's disease. Second of two parts. The New England journal of medicine 1998, 339(16):1130-1143. 10.1056/NEJM199810153391607, 9770561.
5. Yang YR, Lee YY, Cheng SJ, Lin PY, Wang RY. Relationships between gait and dynamic balance in early Parkinson's disease. Gait & posture 2008, 27(4):611-615. 10.1016/j.gaitpost.2007.08.003, 22084414.
6. Rosin R, Topka H, Dichgans J. Gait initiation in Parkinson's disease. Movement disorders 1997, 12(5):682-690. 10.1002/mds.870120509, 9380048.
7. Martinez Martin P, Gil Nagel A, Gracia LM, Gomez JB, Martinez Sarries J, Bermejo F. Unified Parkinson's disease rating scale characteristics and structure. Movement disorders 1994, 9(1):76-83. 10.1002/mds.870090112, 8139608.
8. Hubble JP, Pahwa R, Michalek DK, Thomas C, Koller WC. Interactive video conferencing: a means of providing interim care to Parkinson's disease patients. Movement disorders 1993, 8(3):380-382. 10.1002/mds.870080326, 8341308.
9. Lozano A, Lang A, Galvez-Jimenez N, Miyasaki J, Duff J, Hutchison W, Dostrovsky J. Effect of GPi pallidotomy on motor function in Parkinson's disease. The Lancet 1995, 346(8987):1383-1387.
10. Kepple T, Stanhope S, Lohmann K, Roman N. A video-based technique for measuring ankle--subtalar motion during stance. Journal of biomedical engineering 1990, 12(4):273-280. 10.1016/0141-5425(90)90001-4, 2395354.
11. Chang LG, JA Burne R. An automated form of video image analysis applied to classification of movement disorders. Disability & Rehabilitation 2000, 22(1-2):97-108. 10.1080/096382800297169, 22084524.
12. Krawetz P, Nance P. Gait analysis of spinal cord injured subjects: Effects of injury level and spasticity. Archives of physical medicine and rehabilitation 1996, 77(7):635-638. 10.1016/S0003-9993(96)90000-3, 8669987.
13. Borghese N, Bianchi L, Lacquaniti F. Kinematic determinants of human locomotion. The Journal of Physiology 1996, 494:863-879. 1160684, 8865081.
14. Baker R. Gait analysis methods in rehabilitation. Journal of NeuroEngineering and Rehabilitation 2006, 3(1):4-13. 10.1186/1743-0003-3-4, 1421413, 16512912.
15. Cho C, Osaki Y, Kunin M, Cohen B, Olanow CW, Raphan T. A Model-Based Approach for Assessing Parkinsonian Gait and Effects of Levodopa and Deep Brain Stimulation. Proceedings of the 28th IEEE EMBS Annual International Conference: Aug. 30 2006-Sept. 3 2006 2006; Nwe York City 2006, 1228-1231.
16. Huang PS, Harris CJ, Nixon MS. Human gait recognition in canonical space using temporal templates. IEE Proceedings of Vision, Image and Signal Processing 1999, 146(2):93-100.
17. Nixon MS, Carter JN, Grant MG, Gordon L, Hayfron-Acquah JB. Automatic recognition by gait: progress and prospects. Sensor Review 2003, 23(4):323-331.
18. Little J, Boyd J. Recognizing people by their gait: the shape of motion. Videre: Journal of Computer Vision Research 1998, 1(2):1-32.
19. Niyogi SA, Adelson EH. Analyzing and recognizing walking figures in XYT. IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'94): 21-23 Jun 1994 1994 1994, 469-474.
20. Murase H, Sakai R. Moving object recognition in eigenspace representation: gait analysis and lip reading. Pattern recognition letters 1996, 17(2):155-162.
21. Huang PS, Harris CJ, Nixon MS. Recognising humans by gait via parametric canonical space. Artificial Intelligence in Engineering 1999, 13(4):359-366.
22. Scholkopf B, Smola A, Muller KR. Nonlinear component analysis as a kernel eigenvalue problem. Neural computation 1998, 10(5):1299-1319.
23. Sarkar S, Phillips PJ, Liu Z, Vega IR, Grother P, Bowyer KW. The human ID gait challenge problem: Data sets, performance, and analysis. IEEE transactions on pattern analysis and machine intelligence 2005, 162-177.
24. Polat K, Gunes S. Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFIS. Expert Systems with Applications 2007, 33(3):636-641.
25. Bow S-T. Pattern Recognition and Image Preprocessing. 2002, Marcel Dekker, Inc. New York, NY, USA, 2.
26. Duda RO, Hart PE, Stork DG. Pattern classification. 2000, New York: John Wiley & Sons, 2.
27. Wang L, Tan T, Ning H, Hu W. Silhouette analysis-based gait recognition for human identification. IEEE transactions on pattern analysis and machine intelligence 2003, 1505-1518.
28. Turk M, Pentland A. Eigenfaces for recognition. Journal of cognitive neuroscience 1991, 3(1):71-86.
29. Ruderman DL. Origins of scaling in natural images. Vision research 1997, 37(23):3385-3398. 10.1016/S0042-6989(97)00008-4, 9425551.
30. Brigham EO. The fast Fourier transform and its applications. 1988, Englewood Cliffs, N.J.: Prentice Hall.
31. O'Sullivan JD, Said CM, Dillon LC, Hoffman M, Hughes AJ. Gait analysis in patients with Parkinson's disease and motor fluctuations: influence of levodopa and comparison with other measures of motor function. Mov Disord 1998, 13(6):900-906. 10.1002/mds.870130607, 9827613.
32. Vokaer M, Azar NA, de Beyl DZ. Effects of levodopa on upper limb mobility and gait in Parkinson's disease. Journal of Neurology, Neurosurgery & Psychiatry 2003, 74(9):1304-1307. 10.1136/jnnp.74.9.1304, 22008869.
33. Lubik S, Fogel W, Tronnier V, Krause M, Konig J, Jost W. Gait analysis in patients with advanced Parkinson disease: different or additive effects on gait induced by levodopa and chronic STN stimulation. Journal of neural transmission 2006, 113(2):163-173. 10.1007/s00702-005-0310-8, 15959852.
34. Ferrandez AM, Blin O. A comparison between the effect of intentional modulations and the action of L-dopa on gait in Parkinson's disease. Behavioural brain research 1991, 45(2):177-183. 10.1016/S0166-4328(05)80083-X, 1789925.
35. O'Sullivan JD, Said CM, Dillon LC, Hoffman M, Hughes AJ. Gait analysis in patients with Parkinson's disease and motor fluctuations: influence of levodopa and comparison with other measures of motor function. Movement disorders 1998, 13(6):900-906. 10.1002/mds.870130607, 9827613.
36. Rajput A, Rozdilsky B, Rajput A, Ang L. Levodopa efficacy and pathological basis of Parkinson syndrome. Clinical neuropharmacology 1990, 13(6):553-558. 10.1097/00002826-199012000-00007, 2276120.
37. Menz HB, Latt MD, Tiedemann A, Mun San Kwan M, Lord SR. Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. Gait & posture 2004, 20(1):20-25. 10.1016/S0966-6362(03)00068-7, 22084414.