scholarly journals Effects of Sensitive Electrical Stimulation-Based Somatosensory Cueing in Parkinson's Disease Gait and Freezing of Gait Assessment

2017 ◽  
Vol 41 (11) ◽  
pp. E222-E232 ◽  
Author(s):  
Benoît Sijobert ◽  
Christine Azevedo ◽  
David Andreu ◽  
Claudia Verna ◽  
Christian Geny
2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Lois Rosenthal ◽  
Dean Sweeney ◽  
Anne-Louise Cunnington ◽  
Leo R. Quinlan ◽  
Gearóid ÓLaighin

Introduction. Freezing of gait (FoG) is a movement abnormality that presents with advancing Parkinson’s disease (PD) and is one of the most debilitating symptoms of the disease. The mainstay of nonpharmacological management of FoG is typically through external cueing techniques designed to relieve or prevent the freezing episode. Previous work shows that electrical stimulation may prove useful as a gait guidance technique, but further evidence is required. The main objective of this study was to determine whether a “fixed” rhythmic sensory electrical stimulation (sES) cueing strategy would significantly (i) reduce the time taken to complete a walking task and (ii) reduce the number of FoG episodes occurring when performing the task. Methods. 9 participants with idiopathic PD performed a self-identified walking task during both control (no cue) and cueing conditions. The self-identified walking task was a home-based daily walking activity, which was known to result in FoG for that person. A trained physiotherapist recorded the time taken to complete the walking task and the number of FoG episodes which occurred during the task. Data were analyzed by paired t-tests for both the time to complete a walking task and the number of FoG episodes occurring. Results. sES cueing resulted in a reduction in the time taken to complete a walking task and in the number of FoG episodes occurring during performance of this task by 14.23 ± 11.15% (p=0.009) and 58.28 ± 33.89% (p=0.002), respectively. Conclusions. This study shows a positive effect of “fixed” rhythmic sES on the time taken to complete a walking task and on the number of FoG episodes occurring during the task. Our results provide evidence that sES cueing delivered in a “fixed” rhythmic manner has the potential to be an effective cueing mechanism for FoG prevention.


2013 ◽  
Vol 124 (7) ◽  
pp. e11 ◽  
Author(s):  
M. Djurić-Jovičić ◽  
S. Radovanović ◽  
I. Petrović ◽  
C. Azevedo ◽  
G. Mann ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Zi-Yan Chen ◽  
Hong-Jiao Yan ◽  
Lin Qi ◽  
Qiao-Xia Zhen ◽  
Cui Liu ◽  
...  

Graphical AbstractPatients with early- to middle-stage PD (Hoehn and Yahr stages 1–3) were enrolled for C-Gait assessment and traditional walking ability assessments. The correlation of C-Gait assessment and traditional walking tests were studied. Two models were established based on C-Gait assessment and traditional walking tests to explore the value of C-Gait assessment in predicting freezing of gait.


2014 ◽  
Vol 71 (9) ◽  
pp. 809-816 ◽  
Author(s):  
Milica Djuric-Jovicic ◽  
Nenad Jovicic ◽  
Sasa Radovanovic ◽  
Nikola Kresojevic ◽  
Vladimir Kostic ◽  
...  

Background/Aim. Postural impairments and gait disorders in Parkinson's disease (PD) affect limits of stability, impaire postural adjustment, and evoke poor responses to perturbation. In the later stage of the disease, some patients can suffer from episodic features such as freezing of gait (FOG). Objective gait assessment and monitoring progress of the disease can give clinicians and therapist important information about changes in gait pattern and potential gait deviations, in order to prevent concomitant falls. The aim of this study was to propose a method for identification of freezing episodes and gait disturbances in patients with PD. A wireless inertial sensor system can be used to provide follow-up of the treatment effects or progress of the disease. Methods. The system is simple for mounting a subject, comfortable, simple for installing and recording, reliable and provides high-quality sensor data. A total of 12 patients were recorded and tested. Software calculates various gait parameters that could be estimated. User friendly visual tool provides information about changes in gait characteristics, either in a form of spectrogram or by observing spatiotemporal parameters. Based on these parameters, the algorithm performs classification of strides and identification of FOG types. Results. The described stride classification was merged with an algorithm for stride reconstruction resulting in a useful graphical tool that allows clinicians to inspect and analyze subject?s movements. Conclusion. The described gait assessment system can be used for detection and categorization of gait disturbances by applying rule-based classification based on stride length, stride time, and frequency of the shank segment movements. The method provides an valuable graphical interface which is easy to interpret and provides clinicians and therapists with valuable information regarding the temporal changes in gait.


Author(s):  
Benoît Sijobert ◽  
Christine Azevedo-Coste ◽  
David Andreu ◽  
Claudia Verna ◽  
Christian Geny

This study aims to investigate the effect of a sensitive cueing on Freezing of Gait (FOG) and gait disorders in subjects suffering from Parkinson’s disease (PD). 13 participants with Parkinson’s disease were equipped with an electrical stimulator and a foot mounted inertial measurement unit (IMU). An IMU based algorithm triggered in real time an electrical stimulus applied on the arch of foot at heel off detection. Starting from standing, subjects were asked to walk at their preferred speed on a path comprising 5m straight, u-turn and walk around tasks. Cueing globally decreased the time to achieve the different tasks in all the subjects. In “freezer” subjects, the time to complete the entire path was reduced by 19%. FOG events occurrence was lowered by 12% compared to baseline before and after cueing. This preliminary work showed a positive global effect of an electrical stimulation based cueing on gait and FOG in PD.


2021 ◽  
Vol 82 ◽  
pp. 106-108
Author(s):  
Dean Sweeney ◽  
Leo R. Quinlan ◽  
Margaret Richardson ◽  
Pauline Meskell ◽  
Anne-Louise Cunnington ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document