Freezing of Gait Detection in Parkinson's Disease: A Subject-Independent Detector Using Anomaly Scores

IEEE Transactions on Biomedical Engineering

Volumn 64, Issue 11, 2017, Pages 2719-2728

  Pham, Thuy T ^a,b   Moore, Steven T ^c,d   Lewis, Simon John Geoffrey ^b   Nguyen, Diep N ^a   Dutkiewicz, Eryk ^a   Fuglevand, Andrew J ^e   McEwan, Alistair L ^b   Leong, Philip H W ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^d CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^e UNIVERSITY OF ARIZONA   (United States)

Author keywords

Anomaly score; feature selection; gait freezing

Indexed keywords

FREEZING; PATTERN RECOGNITION;

ADAPTIVE THRESHOLDING; ANOMALY DETECTION; ANOMALY SCORE; DETECTION ALGORITHM; FREEZING INDICES; FREEZING OF GAITS; PARKINSON'S DISEASE; RELEVANT FEATURES;

FEATURE EXTRACTION;

ACCELEROMETRY; AGED; ALGORITHM; ANKLE; ANOMALY SCORE DETECTOR; ARTICLE; ASSESSMENT OF HUMANS; CASE CONTROL STUDY; CLINICAL ARTICLE; CLINICAL FEATURE; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EXPERIMENTAL LOCOMOTOR ACTIVITY TEST; FEMALE; FREEZING; FREEZING OF GAIT; GAIT DISORDER; HUMAN; MALE; MULTICHANNEL FREEZING INDEX; PARKINSON DISEASE; PATIENT SELECTION; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; WALK TEST; MIDDLE AGED; NEUROLOGIC GAIT DISORDER; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING;

ACCELEROMETRY; AGED; ALGORITHMS; FEMALE; GAIT DISORDERS, NEUROLOGIC; HUMANS; MALE; MIDDLE AGED; PARKINSON DISEASE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 85018786554     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2017.2665438     Document Type: Article

References (40)

1. B. Bloem, et al., "Falls, freezing of gait in Parkinson's disease: A review of two interconnected, episodic phenomena, " Movement Disorders, vol. 19, no. 8, pp. 871-884, Aug. 2004.
2. M. Macht, et al., "Predictors of freezing in Parkinson's disease: A survey of 6, 620 patients, " Movement Disorders, vol. 22, no. 7, pp. 953-956, May 2007.
3. M. Latt, et al., "Clinical, physiological assessments for elucidating falls risk in Parkinson's disease, " Movement Disorders, vol. 24, no. 9, pp. 1280-1289, Jul. 2009.
4. S. Paul, et al., "Three simple clinical tests to accurately predict falls in people with Parkinson's disease, " Movement Disorders, vol. 28, no. 5, pp. 655-662, May 2013.
5. S. Fahn, R. Elton, "Unified rating scale for Parkinson's disease, " in Recent Developments in Parkinson's Disease. Florham Park, NJ, USA: Macmillan, 1987, pp. 153-163.
6. N. Giladi, et al., "Validation of the freezing of gait questionnaire in patients with Parkinson's disease, " Movement Disorders, vol. 24, no. 5, pp. 655-661, 2009.
7. A. H. Snijders, et al., "Obstacle avoidance to elicit freezing of gait during treadmill walking, " Movement Disorders, vol. 25, no. 1, pp. 57-63, 2010.
8. C. Moreau, et al., "Externally provoked freezing of gait in open runways in advanced Parkinson's disease results from motor, mental collapse, " J. Neural Transmiss., vol. 115, no. 10, pp. 1431-1436, 2008.
9. J. Reimer, et al., "Use, interpretation of on-off diaries in Parkinson's disease, " J. Neurol. Neurosurg. Psychiatry, vol. 75, no. 3, pp. 396-400, Mar. 2004.
10. T. R. Morris, et al., "A comparison of clinical, objective measures of freezing of gait in Parkinson's disease, " Parkinsonism Relat. Disorders, vol. 18, no. 5, pp. 572-577, 2012.
11. J. Schaafsma, et al., "Characterization of freezing of gait subtypes, the response of each to levodopa in Parkinson's disease, " Eur. J. Neurol., vol. 10, no. 4, pp. 391-398, Jul. 2003.
12. S. Moore, et al., "Ambulatory monitoring of freezing of gait in Parkinson's disease, " J. Neurosci. Methods, vol. 167, no. 2, pp. 340-348, Jan. 2008.
13. E. Gazit, et al., "Assessment of Parkinsonian motor symptoms using a continuously worn smartwatch: Preliminary experience, " Movement Disorders, vol. 30, pp. S272, 2015.
14. J. Han, et al., "Gait analysis for freezing detection in patients with movement disorder using three dimensional acceleration system, " in Proc. 25th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., IEEE, 2003, vol. 2, pp. 1863-1865.
15. I. Daubechies, B. J. Bates, "Ten lectures on wavelets, " J. Acoust. Soc. Amer., vol. 93, no. 3, pp. 1671-1671, 1993.
16. M. Bachlin, et al., "Wearable assistant for Parkinson's disease patients with the freezing of gait symptom, " IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 2, pp. 436-446, Mar. 2010.
17. B. Cole, et al., "Detecting freezing-of-gait during unscripted, unconstrained activity, " in Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2011, pp. 5649-5652.
18. S. Mazilu, et al., "Online detection of freezing of gait with smartphones, machine learning techniques, " in Proc. 6th Int. Conf. Pervasive Comput. Technol. Healthcare, 2012, pp. 123-130.
19. S. T. Moore, et al., "Autonomous identification of freezing of gait in Parkinson's disease from lower-body segmental accelerometry, " J. Neuroeng. Rehabil., vol. 10, no. 19, p. 1, 2013.
20. H. Zach, et al., "Identifying freezing of gait in Parkinson's disease during freezing provoking tasks using waist-mounted accelerometry, " Parkinsonism Relat. Disorders, vol. 21, no. 11, pp. 1362-1366, 2015.
21. C. AzevedoCoste, et al., "Detection of freezing of gait in parkinson disease: Preliminary results, " Sensors, vol. 14, no. 4, pp. 6819-6827, 2014.
22. M. D. Djuríc-Jovi?cíc, et al., "Automatic identification, classification of freezing of gait episodes in Parkinson's disease patients, " IEEE Trans. Neural Syst. Rehabil. Eng., vol. 22, no. 3, pp. 685-694, May 2014.
23. S. Mazilu, et al., Feature Learning for Detection, Prediction of Freezing of Gait in Parkinson's Disease. New York, NY, USA: Springer, 2013, pp. 144-158.
24. E. Sejdíc, et al., "A comprehensive assessment of gait accelerometry signals in time, frequency, time-frequency domains, " IEEE Trans. Neural Syst. Rehabil. Eng., vol. 22, no. 3, pp. 603-612, May 2014.
25. R. Challis, R. Kitney, "Biomedical signal processing (part 3 of 4): The power spectrum, coherence function, " Med. Biol. Eng. Comput., vol. 28, no. 6, pp. 509-524, 1990.
26. B. O. Koopman, "Hamiltonian systems, transformation in hilbert space, " Proc. Nat. Academy Sci. USA, vol. 17, no. 5, pp. 315-318, 1931.
27. C. Shannon, "A mathematical theory of communication, " Bell Syst. Tech. J., vol. 27, no. 3, pp. 379-423, Jul. 1948.
28. M. Ackerman, S. Ben-David, "Clusterability: A theoretical study, " in Proc. Int. Conf. Artif. Intell. Statist., 2009, pp. 1-8.
29. K. Kira, L. A. Rendell, "The feature selection problem: Traditional methods, a new algorithm, " in Proc. 10th Nat. Conf. Artif. Intell., 1992, pp. 129-134.
30. J. Shine, et al., "Assessing the utility of freezing of gait questionnaires in Parkinson's disease, " Parkinsonism Relat. Disorders, vol. 18, no. 1, pp. 25-29, 2012.
31. C. G. Goetz, et al., "Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): Scale presentation, clinimetric testing results, " Movement Disorders, vol. 23, no. 15, pp. 2129-2170, 2008.
32. M. M. Hoehn, et al., "Parkinsonism: Onset, progression, mortality, " Neurology, vol. 50, no. 2, pp. 318-318, 1998.
33. W. Gibb, A. Lees, "A comparison of clinical, pathological features of young-and old-onset Parkinson's disease, " Neurology, vol. 38, no. 9, pp. 1402-1402, 1988.
34. M. F. Folstein, et al., "'Mini-mental state': A practical method for grading the cognitive state of patients for the clinician, " J. Psychiatric Res., vol. 12, no. 3, pp. 189-198, 1975.
35. P. J. Schmid, "Dynamic mode decomposition of numerical, experimental data, " J. Fluid Mech., vol. 656, pp. 5-28, 2010.
36. J.-C. Hua, et al., "Using dynamic mode decomposition to extract cyclic behavior in the stock market, " Physica A, Statist. Mech. Appl., vol. 448, pp. 172-180, 2016.
37. G. Brown, et al., "Conditional likelihood maximisation: A unifying framework for information theoretic feature selection, " J. Mach. Learn. Res., vol. 13, no. 1, pp. 27-66, 2012.
38. P. E. Shrout, J. L. Fleiss, "Intraclass correlations: Uses in assessing rater reliability, " Psychol. Bull., vol. 86, no. 2, pp. 420-428, 1979.
39. K. O. McGraw, S. P.Wong, "Forming inferences about some intraclass correlation coefficients, " Psychol.Methods, vol. 1, no. 1, pp. 30-46, 1996.
40. C. J. V. Rijsbergen, Information Retrieval, 2nd ed. Newton, MA, USA: Butterworth-Heinemann, 1979.