scholarly journals Effects of sensitive electrical stimulation based cueing in Parkinson's disease: a preliminary study

2016 ◽  
Vol 26 (2) ◽  
Author(s):  
Benoît Sijobert ◽  
Christine Azevedo-Coste ◽  
David Andreu ◽  
Claudia Verna ◽  
Christian Geny
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Freezing Of Gait ◽  
Electrical Stimulus ◽  
Measurement Unit ◽  
Global Effect ◽  
Before And After ◽  
Preliminary Study ◽  
Electrical Stimulator

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.

scholarly journals Sensory Electrical Stimulation Cueing May Reduce Freezing of Gait Episodes in Parkinson’s Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Lois Rosenthal ◽  
Dean Sweeney ◽  
Anne-Louise Cunnington ◽  
Leo R. Quinlan ◽  
Gearóid ÓLaighin
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Freezing Of Gait ◽  
The Self ◽  
Home Based ◽  
Walking Activity ◽  
Guidance Technique ◽  
Positive Effect

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.

Spectral/Cepstral Analyses of Phonation in Parkinson’s Disease before and after Voice Treatment: A Preliminary Study

2019 ◽  
Vol 71 (5-6) ◽  
pp. 275-285 ◽  
Author(s):  
Ghadah G. Alharbi ◽  
Michael P. Cannito ◽  
Eugene H. Buder ◽  
Shaheen N. Awan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Voice Treatment ◽  
Before And After ◽  
Preliminary Study

scholarly journals Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit

2018 ◽  
Vol 139 ◽  
pp. 119-131 ◽  
Author(s):  
Julià Camps ◽  
Albert Samà ◽  
Mario Martín ◽  
Daniel Rodríguez-Martín ◽  
Carlos Pérez-López ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Inertial Measurement Unit ◽  
Freezing Of Gait ◽  
Measurement Unit ◽  
Inertial Measurement

The impact of functional electrical stimulation (FES) on freezing of gait (FOG) in patients with Parkinson’s disease

2013 ◽  
Vol 124 (7) ◽  
pp. e11 ◽  
Author(s):  
M. Djurić-Jovičić ◽  
S. Radovanović ◽  
I. Petrović ◽  
C. Azevedo ◽  
G. Mann ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Freezing Of Gait ◽  
The Impact

scholarly journals DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson’s Disease Patients via Deep Learning

2021 ◽  
Vol 8 ◽  
Author(s):  
Thomas Bikias ◽  
Dimitrios Iakovakis ◽  
Stelios Hadjidimitriou ◽  
Vasileios Charisis ◽  
Leontios J. Hadjileontiadis
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Life Stress ◽  
Freezing Of Gait ◽  
Measurement Unit ◽  
Effective Interventions ◽  
Risk Of Falls

Freezing of Gait (FoG) is a movement disorder that mostly appears in the late stages of Parkinson’s Disease (PD). It causes incapability of walking, despite the PD patient’s intention, resulting in loss of coordination that increases the risk of falls and injuries and severely affects the PD patient’s quality of life. Stress, emotional stimulus, and multitasking have been encountered to be associated with the appearance of FoG episodes, while the patient’s functionality and self-confidence are constantly deteriorating. This study suggests a non-invasive method for detecting FoG episodes, by analyzing inertial measurement unit (IMU) data. Specifically, accelerometer and gyroscope data from 11 PD subjects, as captured from a single wrist-worn IMU sensor during continuous walking, are processed via Deep Learning for window-based detection of the FoG events. The proposed approach, namely DeepFoG, was evaluated in a Leave-One-Subject-Out (LOSO) cross-validation (CV) and 10-fold CV fashion schemes against its ability to correctly estimate the existence or not of a FoG episode at each data window. Experimental results have shown that DeepFoG performs satisfactorily, as it achieves 83%/88% and 86%/90% sensitivity/specificity, for LOSO CV and 10-fold CV schemes, respectively. The promising performance of the proposed DeepFoG reveals the potentiality of single-arm IMU-based real-time FoG detection that could guide effective interventions via stimuli, such as rhythmic auditory stimulation (RAS) and hand vibration. In this way, DeepFoG may scaffold the elimination of risk of falls in PD patients, sustaining their quality of life in everyday living activities.

scholarly journals Wearable device intended for detection of fog episodes in Parkinson´s disease

2019 ◽  
Vol 13 (1) ◽  
pp. 10-16
Author(s):  
Laura Carolina Rozo Hoyos ◽  
Juan Pablo Pulgarín González ◽  
Paula Andrea Morales Fandiño ◽  
Jonathan Gallego Londoño
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Inertial Measurement Unit ◽  
Freezing Of Gait ◽  
Wearable Device ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Normal Gait ◽  
Fog Prediction ◽  
Advanced Stages

The episodes of Freezing of Gait (FOG) are a recurring symptom in people suffering from advanced stages of Parkinson's disease (PD). These are severe occurrences because they may cause falls to the patients, generating further traumas and concussions. In order to solve this yet ineffectively treated issue, this article describes the research that developed a device capable of predicting freezing episodes. On this project a wearable device was developed, which was able to predict freezing episodes based on the calculation of a freezing index (FI) determined by the signals obtained from an inertial measurement unit (IMU). This device was tested in three Patients and signals corresponding to normal gait and simulated Parkinson gait were taken. The results showed that FI obtained from Parkinson gait were much higher than those from a normal gait, validating this parameter as a key aspect in FOG prediction.      

scholarly journals Multifaceted Sensory Electrical Stimulation cueing for Freezing of Gait in Parkinson's disease

2021 ◽  
Vol 82 ◽  
pp. 106-108
Author(s):  
Dean Sweeney ◽  
Leo R. Quinlan ◽  
Margaret Richardson ◽  
Pauline Meskell ◽  
Anne-Louise Cunnington ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Freezing Of Gait

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
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Electrical Stimulation ◽  
Freezing Of Gait ◽  
Gait Assessment

1H MR Spectroscopy in Parkinson's Disease and Progressive Supranuclear Palsy: Preliminary Study

1996 ◽  
Vol 34 (6) ◽  
pp. 711
Author(s):  
Kee Hyun Chang ◽  
Beom Seok Jeon ◽  
In Chan Song ◽  
Dong Sung Kim ◽  
Kwan Hong Min ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Progressive Supranuclear Palsy ◽  
Mr Spectroscopy ◽  
1H Mr Spectroscopy ◽  
Preliminary Study
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