Klinik Araştırma
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Sensor-Based Gait Analysis in Patients with Parkinson Disease

Yıl 2023, Cilt: 2 Sayı: 1, 24 - 28, 07.02.2023

Özgür Öztop-çakmak , Kardelen Akar , Hussein Youssef , Atay Vural

Öz

Gait impairment is one of the cardinal signs of Parkinson disease (PD). This study aims to investigate gait parameters using inertial sensors and evaluate the relation between disease severity and gait parameters. Two-minute walkway tests were performed on eighteen patients with PD. Gait parameters were analyzed and the relation between gait parameters and the scores of MDS-UPDRS Part III and the Hoehn &Yahr (H&Y) scale is investigated. Eighteen PD patients (eight female, ten male) with a mean age of 65.78 ± 8.07 were included in the study. Foot strike angle(r=-0.66), turn angle (r=-0.73), stride length (r=-0.52), and turn velocity (r=-0.54) showed negative, turn duration (r=0.58) showed a positive correlation with the score of MDS-UPDRS part III, (p<0.05). H&Y staging showed a negative correlation with foot strike angle (r=-0.58), toe off angle (r=-0.53), and turn velocity (r=-0.52), a positive correlation with turn duration (r=0.56). Inertial sensors may provide objective gait parameters supporting the clinical assessment of patients with PD.

Anahtar Kelimeler

Parkisnon disease Gait analysis Inertial sensors APDM

Kaynakça

  • Agostini, V., Lanotte, M., Carlone, M., Campagnoli, M., Azzolin, I., Scarafia, R., Massazza, G., Knaflitz, M., 2015. Instrumented gait analysis for an objective pre-/postassessment of tap test in normal pressure hydrocephalus. Arch. Phys. Med. Rehabil. 96, 1235–1241. https://doi.org/10.1016/j.apmr.2015.02.014
  • Fang, X., Liu, C., Jiang, Z., 2018. Reference values of gait using APDM movement monitoring inertial sensor system. R. Soc. Open Sci. 5, 170818. https://doi.org/10.1098/rsos.170818
  • Goetz, C.G., Stebbins, G.T., Wolff, D., DeLeeuw, W., Bronte-Stewart, H., Elble, R., Hallett, M., Nutt, J., Ramig, L., Sanger, T., Wu, A.D., Kraus, P.H., Blasucci, L.M., Shamim, E.A., Sethi, K.D., Spielman, J., Kubota, K., Grove, A.S., Dishman, E., Taylor, C.B., 2009. Testing objective measures of motor impairment in early Parkinson’s disease: Feasibility study of an at-home testing device. Mov. Disord. Off. J. Mov. Disord. Soc. 24, 551–556. https://doi.org/10.1002/mds.22379
  • Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M.B., Dodel, R., Dubois, B., Holloway, R., Jankovic, J., Kulisevsky, J., Lang, A.E., Lees, A., Leurgans, S., LeWitt, P.A., Nyenhuis, D., Olanow, C.W., Rascol, O., Schrag, A., Teresi, J.A., van Hilten, J.J., LaPelle, N., Movement Disorder Society UPDRS Revision Task Force, 2008. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. Off. J. Mov. Disord. Soc. 23, 2129–2170. https://doi.org/10.1002/mds.22340
  • Hausdorff, J.M., Cudkowicz, M.E., Firtion, R., Wei, J.Y., Goldberger, A.L., 1998. Gait variability and basal ganglia disorders: stride-to-stride variations of gait cycle timing in Parkinson’s disease and Huntington’s disease. Mov. Disord. Off. J. Mov. Disord. Soc. 13, 428–437. https://doi.org/10.1002/mds.870130310
  • Lai, Y.-R., Lien, C.-Y., Huang, C.-C., Lin, W.-C., Chen, Y.-S., Yu, C.-C., Cheng, B.-C., Kung, C.-T., Kung, C.-F., Chiang, Y.-F., Hung, Y.-T., Chang, H.-W., Lu, C.-H., 2022. Clinical Disease Severity Mediates the Relationship between Stride Length and Speed and the Risk of Falling in Parkinson’s Disease. J. Pers. Med. 12, 192. https://doi.org/10.3390/jpm12020192
  • Mancini, M., Horak, F.B., 2016. Potential of APDM mobility lab for the monitoring of the progression of Parkinson’s disease. Expert Rev. Med. Devices 13, 455–462. https://doi.org/10.1586/17434440.2016.1153421
  • Merola, A., Sturchio, A., Hacker, S., Serna, S., Vizcarra, J.A., Marsili, L., Fasano, A., Espay, A.J., 2018. Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. Expert Rev. Neurother. 18, 825–845. https://doi.org/10.1080/14737175.2018.1530593
  • Muro-de-la-Herran, A., Garcia-Zapirain, B., Mendez-Zorrilla, A., 2014. Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 14, 3362–3394. https://doi.org/10.3390/s140203362
  • Na, B.S., Ha, J., Park, J.-H., Ahn, J.H., Kim, M., Kim, J.S., Kim, H.-T., Cho, J.W., Youn, J., 2019. Comparison of gait parameters between drug-naïve patients diagnosed with multiple system atrophy with predominant parkinsonism and Parkinson’s disease. Parkinsonism Relat. Disord. 60, 87–91. https://doi.org/10.1016/j.parkreldis.2018.09.018
  • Poewe, W., Seppi, K., Tanner, C.M., Halliday, G.M., Brundin, P., Volkmann, J., Schrag, A.-E., Lang, A.E., 2017. Parkinson disease. Nat. Rev. Dis. Primer 3, 17013. https://doi.org/10.1038/nrdp.2017.13
  • Raccagni, C., Gaßner, H., Eschlboeck, S., Boesch, S., Krismer, F., Seppi, K., Poewe, W., Eskofier, B.M., Winkler, J., Wenning, G., Klucken, J., 2018. Sensor-based gait analysis in atypical parkinsonian disorders. Brain Behav. 8, e00977. https://doi.org/10.1002/brb3.977

Parkinson Hastalarında Sensör Temelli Yürüme Analizi

Yıl 2023, Cilt: 2 Sayı: 1, 24 - 28, 07.02.2023

Özgür Öztop-çakmak , Kardelen Akar , Hussein Youssef , Atay Vural

Öz

Yürüyüş bozukluğu Parkinson hastalığının (PH) temel semptomlarından biridir. Bu çalışmanın amacı PH hastalarında atalet sensörleri kullanarak yürüme parametrelerini, hastalık şiddeti ile yürüme parametreleri arasındaki ilişkiyi araştırmaktır. Parkinson hastalığı tanısı almış onsekiz hastaya iki dakika yürüme testi yapıldı. Yürüme parametreleri incelendi ve yürüme parametrelerinin MDS-UPDRS Bölüm III ve Hoehn &Yahr (H&Y) ölçeği puanları ile ilişkisi araştırıldı. Çalışmaya yaş ortalaması 65.78 ± 8.07 olan 18 PH tanılı hasta (sekiz kadın, on erkek) dahil edildi. Ayak vuruş açısı (r=-0,66), dönüş açısı (r=-0,73), adım uzunluğu (r=-0,52) ve dönüş hızı (r=-0,54) MDS-UPDRS bölüm III skoru ile negatif, dönüş süresi (r=0,58) ile pozitif korelasyon, gösterdi (p<0,05). H&Y evrelemesi, ayak vuruş açısı (r=-0.58), parmak uç açısı (r=-0.53) ile negatif, dönüş süresi (r=0.56) ve dönüş hızı (r=-0.52) ile pozitif korelasyon gösterdi.Atalet sensörleri ile Parkinson hastalarının klinik değerlendirmesini destekleyen objektif yürüyüş parametreleri sağlanabilir.

Anahtar Kelimeler

Parkinson hastalığı Yürüme analizi Atalet sensörleri APDM

Kaynakça

  • Agostini, V., Lanotte, M., Carlone, M., Campagnoli, M., Azzolin, I., Scarafia, R., Massazza, G., Knaflitz, M., 2015. Instrumented gait analysis for an objective pre-/postassessment of tap test in normal pressure hydrocephalus. Arch. Phys. Med. Rehabil. 96, 1235–1241. https://doi.org/10.1016/j.apmr.2015.02.014
  • Fang, X., Liu, C., Jiang, Z., 2018. Reference values of gait using APDM movement monitoring inertial sensor system. R. Soc. Open Sci. 5, 170818. https://doi.org/10.1098/rsos.170818
  • Goetz, C.G., Stebbins, G.T., Wolff, D., DeLeeuw, W., Bronte-Stewart, H., Elble, R., Hallett, M., Nutt, J., Ramig, L., Sanger, T., Wu, A.D., Kraus, P.H., Blasucci, L.M., Shamim, E.A., Sethi, K.D., Spielman, J., Kubota, K., Grove, A.S., Dishman, E., Taylor, C.B., 2009. Testing objective measures of motor impairment in early Parkinson’s disease: Feasibility study of an at-home testing device. Mov. Disord. Off. J. Mov. Disord. Soc. 24, 551–556. https://doi.org/10.1002/mds.22379
  • Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M.B., Dodel, R., Dubois, B., Holloway, R., Jankovic, J., Kulisevsky, J., Lang, A.E., Lees, A., Leurgans, S., LeWitt, P.A., Nyenhuis, D., Olanow, C.W., Rascol, O., Schrag, A., Teresi, J.A., van Hilten, J.J., LaPelle, N., Movement Disorder Society UPDRS Revision Task Force, 2008. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. Off. J. Mov. Disord. Soc. 23, 2129–2170. https://doi.org/10.1002/mds.22340
  • Hausdorff, J.M., Cudkowicz, M.E., Firtion, R., Wei, J.Y., Goldberger, A.L., 1998. Gait variability and basal ganglia disorders: stride-to-stride variations of gait cycle timing in Parkinson’s disease and Huntington’s disease. Mov. Disord. Off. J. Mov. Disord. Soc. 13, 428–437. https://doi.org/10.1002/mds.870130310
  • Lai, Y.-R., Lien, C.-Y., Huang, C.-C., Lin, W.-C., Chen, Y.-S., Yu, C.-C., Cheng, B.-C., Kung, C.-T., Kung, C.-F., Chiang, Y.-F., Hung, Y.-T., Chang, H.-W., Lu, C.-H., 2022. Clinical Disease Severity Mediates the Relationship between Stride Length and Speed and the Risk of Falling in Parkinson’s Disease. J. Pers. Med. 12, 192. https://doi.org/10.3390/jpm12020192
  • Mancini, M., Horak, F.B., 2016. Potential of APDM mobility lab for the monitoring of the progression of Parkinson’s disease. Expert Rev. Med. Devices 13, 455–462. https://doi.org/10.1586/17434440.2016.1153421
  • Merola, A., Sturchio, A., Hacker, S., Serna, S., Vizcarra, J.A., Marsili, L., Fasano, A., Espay, A.J., 2018. Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. Expert Rev. Neurother. 18, 825–845. https://doi.org/10.1080/14737175.2018.1530593
  • Muro-de-la-Herran, A., Garcia-Zapirain, B., Mendez-Zorrilla, A., 2014. Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 14, 3362–3394. https://doi.org/10.3390/s140203362
  • Na, B.S., Ha, J., Park, J.-H., Ahn, J.H., Kim, M., Kim, J.S., Kim, H.-T., Cho, J.W., Youn, J., 2019. Comparison of gait parameters between drug-naïve patients diagnosed with multiple system atrophy with predominant parkinsonism and Parkinson’s disease. Parkinsonism Relat. Disord. 60, 87–91. https://doi.org/10.1016/j.parkreldis.2018.09.018
  • Poewe, W., Seppi, K., Tanner, C.M., Halliday, G.M., Brundin, P., Volkmann, J., Schrag, A.-E., Lang, A.E., 2017. Parkinson disease. Nat. Rev. Dis. Primer 3, 17013. https://doi.org/10.1038/nrdp.2017.13
  • Raccagni, C., Gaßner, H., Eschlboeck, S., Boesch, S., Krismer, F., Seppi, K., Poewe, W., Eskofier, B.M., Winkler, J., Wenning, G., Klucken, J., 2018. Sensor-based gait analysis in atypical parkinsonian disorders. Brain Behav. 8, e00977. https://doi.org/10.1002/brb3.977
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klinik Tıp Bilimleri
Bölüm Araştırma Makaleleri
Yazarlar

Özgür Öztop-çakmak 0000-0003-3413-0332

Kardelen Akar 0000-0002-9945-9844

Hussein Youssef 0000-0002-1344-1599

Atay Vural 0000-0003-3222-874X

Yayımlanma Tarihi 7 Şubat 2023
Gönderilme Tarihi 30 Aralık 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 2 Sayı: 1

Kaynak Göster

APA Öztop-çakmak, Ö., Akar, K., Youssef, H., Vural, A. (2023). Sensor-Based Gait Analysis in Patients with Parkinson Disease. Istanbul Kent University Journal of Health Sciences, 2(1), 24-28.
AMA Öztop-çakmak Ö, Akar K, Youssef H, Vural A. Sensor-Based Gait Analysis in Patients with Parkinson Disease. IKUJHS. Şubat 2023;2(1):24-28.
Chicago Öztop-çakmak, Özgür, Kardelen Akar, Hussein Youssef, ve Atay Vural. “Sensor-Based Gait Analysis in Patients With Parkinson Disease”. Istanbul Kent University Journal of Health Sciences 2, sy. 1 (Şubat 2023): 24-28.
EndNote Öztop-çakmak Ö, Akar K, Youssef H, Vural A (01 Şubat 2023) Sensor-Based Gait Analysis in Patients with Parkinson Disease. Istanbul Kent University Journal of Health Sciences 2 1 24–28.
IEEE Ö. Öztop-çakmak, K. Akar, H. Youssef, ve A. Vural, “Sensor-Based Gait Analysis in Patients with Parkinson Disease”, IKUJHS, c. 2, sy. 1, ss. 24–28, 2023.
ISNAD Öztop-çakmak, Özgür vd. “Sensor-Based Gait Analysis in Patients With Parkinson Disease”. Istanbul Kent University Journal of Health Sciences 2/1 (Şubat 2023), 24-28.
JAMA Öztop-çakmak Ö, Akar K, Youssef H, Vural A. Sensor-Based Gait Analysis in Patients with Parkinson Disease. IKUJHS. 2023;2:24–28.
MLA Öztop-çakmak, Özgür vd. “Sensor-Based Gait Analysis in Patients With Parkinson Disease”. Istanbul Kent University Journal of Health Sciences, c. 2, sy. 1, 2023, ss. 24-28.
Vancouver Öztop-çakmak Ö, Akar K, Youssef H, Vural A. Sensor-Based Gait Analysis in Patients with Parkinson Disease. IKUJHS. 2023;2(1):24-8.
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