Online FOG Identification in Parkinson's disease with a time-frequency combined Algorithm

Parkinson's disease (PD) is a common degenerative neurological disorder. Freezing of Gait (FOG) is a significant symptom in PD. Sudden FOG causes balance disturbances and increases the risk of falls. An online approach for FOG identification is presented using MiMed-Pants and an online test software with a frequency-time combined algorithm. MiMed-Pants are washable jogging-trousers with integrated accelerometers. Eight Parkinson patients with different FOG severity used the MiMed-pants and walked following arbitrary instructions from a physician. FOG events were identified and recorded both by the online approach and by a physician. Results were compared with each other to determine the sensitivity of the developed algorithm. Using this wearable measurement device, FOG events could be identified without distraction of patients' attention.

[1]  A. Stiggelbout,et al.  Systematic evaluation of rating scales for impairment and disability in Parkinson's disease , 2002, Movement disorders : official journal of the Movement Disorder Society.

[2]  Houeto Jean-Luc.  [Parkinson's disease]. , 2022, La Revue du praticien.

[3]  Tim Lüth,et al.  A measurement device for motion analysis of patients with Parkinson's disease using sensor based smart clothes , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[4]  Paolo Bonato,et al.  Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors , 2009, IEEE Transactions on Information Technology in Biomedicine.

[5]  A. Ceballos-Baumann,et al.  A new rating instrument to assess festination and freezing gait in Parkinsonian patients , 2010, Movement disorders : official journal of the Movement Disorder Society.

[6]  Nir Giladi,et al.  Understanding and treating freezing of gait in parkinsonism, proposed working definition, and setting the stage , 2008, Movement disorders : official journal of the Movement Disorder Society.

[7]  Jeffrey M. Hausdorff,et al.  Online detection of freezing of gait in Parkinson's disease patients: a performance characterization , 2009, BODYNETS.

[8]  Jeffrey M. Hausdorff,et al.  Falls and freezing of gait in Parkinson's disease: A review of two interconnected, episodic phenomena , 2004, Movement disorders : official journal of the Movement Disorder Society.

[9]  W. Ondo,et al.  Ambulatory monitoring of freezing of gait in Parkinson's disease , 2008, Journal of Neuroscience Methods.

[10]  Tim Lüth,et al.  Quantitative evaluation of Parkinson's disease using sensor based smart glove , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

[11]  Tim Lüth,et al.  Proof of the Accuracy of Measuring Pants to Evaluate the Activity of the Hip and Legs in Everyday Life , 2010, MobiHealth.

[12]  J. Speelman,et al.  Quality of life in patients with Parkinson's disease: development of a questionnaire. , 1996, Journal of neurology, neurosurgery, and psychiatry.

[13]  A. Lang,et al.  Parkinson's disease. First of two parts. , 1998, The New England journal of medicine.

[14]  Marten Munneke,et al.  Clinimetrics of freezing of gait , 2008, Movement disorders : official journal of the Movement Disorder Society.

[15]  Nir Giladi,et al.  Characterization of freezing of gait subtypes and the response of each to levodopa in Parkinson's disease , 2003, European journal of neurology.

[16]  Stan C A M Gielen,et al.  Ambulatory motor assessment in Parkinson's disease , 2006, Movement disorders : official journal of the Movement Disorder Society.

[17]  Michel Panisset,et al.  Freezing of gait in Parkinson's disease. , 2004, Neurologic clinics.

[18]  Nir Giladi,et al.  Objective detection of subtle freezing of gait episodes in Parkinson's disease , 2010, Movement disorders : official journal of the Movement Disorder Society.