Next Article in Journal
Sensor-Enabled Multi-Robot System for Automated Welding and In-Process Ultrasonic NDE
Next Article in Special Issue
Sensor-Based Indices for the Prediction and Monitoring of Anterior Cruciate Ligament Injury: Reliability Analysis and a Case Study in Basketball
Previous Article in Journal
Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
Previous Article in Special Issue
Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures

Atypical Gait Cycles in Parkinson’s Disease

Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy
PoliToBIOMed Lab, Politecnico di Torino, 10129 Turin, Italy
Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
Author to whom correspondence should be addressed.
Academic Editors: Emanuele Piuzzi, Zaccaria Del Prete and Eduardo Palermo
Sensors 2021, 21(15), 5079;
Received: 16 June 2021 / Revised: 21 July 2021 / Accepted: 23 July 2021 / Published: 27 July 2021
(This article belongs to the Special Issue Portable Systems for Diagnostics and Monitoring Applications)
It is important to find objective biomarkers for evaluating gait in Parkinson’s Disease (PD), especially related to the foot and lower leg segments. Foot-switch signals, analyzed through Statistical Gait Analysis (SGA), allow the foot-floor contact sequence to be characterized during a walking session lasting five-minutes, which includes turnings. Gait parameters were compared between 20 PD patients and 20 age-matched controls. PDs showed similar straight-line speed, cadence, and double-support compared to controls, as well as typical gait-phase durations, except for a small decrease in the flat-foot contact duration (−4% of the gait cycle, p = 0.04). However, they showed a significant increase in atypical gait cycles (+42%, p = 0.006), during both walking straight and turning. A forefoot strike, instead of a “normal” heel strike, characterized the large majority of PD’s atypical cycles, whose total percentage was 25.4% on the most-affected and 15.5% on the least-affected side. Moreover, we found a strong correlation between the atypical cycles and the motor clinical score UPDRS-III (r = 0.91, p = 0.002), in the subset of PD patients showing an abnormal number of atypical cycles, while we found a moderate correlation (r = 0.60, p = 0.005), considering the whole PD population. Atypical cycles have proved to be a valid biomarker to quantify subtle gait dysfunctions in PD patients. View Full-Text
Keywords: foot-floor contact; human locomotion; Parkinson’s disease; statistical gait analysis; UPDRS foot-floor contact; human locomotion; Parkinson’s disease; statistical gait analysis; UPDRS
Show Figures

Figure 1

MDPI and ACS Style

Ghislieri, M.; Agostini, V.; Rizzi, L.; Knaflitz, M.; Lanotte, M. Atypical Gait Cycles in Parkinson’s Disease. Sensors 2021, 21, 5079.

AMA Style

Ghislieri M, Agostini V, Rizzi L, Knaflitz M, Lanotte M. Atypical Gait Cycles in Parkinson’s Disease. Sensors. 2021; 21(15):5079.

Chicago/Turabian Style

Ghislieri, Marco, Valentina Agostini, Laura Rizzi, Marco Knaflitz, and Michele Lanotte. 2021. "Atypical Gait Cycles in Parkinson’s Disease" Sensors 21, no. 15: 5079.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop