3D Virtual Path Planning for People with Amyotrophic Lateral Sclerosis Through Standing Wheelchair

2018 ◽  
pp. 181-191 ◽  
Author(s):  
Jessica S. Ortiz ◽  
Guillermo Palacios-Navarro ◽  
Christian P. Carvajal ◽  
Víctor H. Andaluz
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Path Planning ◽  
Virtual Path ◽  
Lateral Sclerosis

Discriminating Spatial Intent From Noisy Joystick Signals for Wheelchair Path Planning and Guidance

2018 ◽  
Author(s):  
Kelilah L. Wolkowicz ◽  
Robert D. Leary ◽  
Jason Z. Moore ◽  
Sean N. Brennan
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Path Planning ◽  
Disease Progression ◽  
Motor Function ◽  
Probabilistic Model ◽  
Patient Monitoring ◽  
Wheelchair User ◽  
Navigation Algorithms ◽  
Lateral Sclerosis ◽  
Key Questions

For patients with amyotrophic lateral sclerosis (ALS), disease progression can cause a loss of motor function. As motor function declines, the dexterity needed to control a wheelchair’s joysticks can also be compromised. The objective of this work is to integrate user sensor inputs and wheelchair position measurements to improve the performance of wheelchair guidance, even in the presence of noisy inputs from the user. This work evaluates probabilistic, model-based methods for blending joystick and position inputs along a series of user-created trajectories, similar to those that a wheelchair user may follow in their day-to-day navigational routines. We answer three key questions in order to associate joystick inputs to path-keeping decisions: 1) What is a path? 2) When are paths different? 3) What is the probability of a particular destination along a path? The algorithmic answers to these questions are verified using experimental wheelchair joystick and position measurements. Using this approach, the goal is to safely guide a wheelchair’s trajectory even if the user is providing ambiguous inputs. This process enables better discrimination of user joystick inputs for navigation algorithms, resulting in improved wheelchair guidance, safety, and patient monitoring.

Automated Acoustic Analysis of Oral Diadochokinesis to Assess Bulbar Motor Involvement in Amyotrophic Lateral Sclerosis

2020 ◽  
Vol 63 (1) ◽  
pp. 59-73 ◽  
Author(s):  
Panying Rong
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Acoustic Analysis ◽  
Speaking Rate ◽  
Disease Stage ◽  
Healthy Controls ◽  
Tongue Movement ◽  
Major Barrier ◽  
Syllable Repetition ◽  
Oral Diadochokinesis ◽  
Lateral Sclerosis

Purpose The purpose of this article was to validate a novel acoustic analysis of oral diadochokinesis (DDK) in assessing bulbar motor involvement in amyotrophic lateral sclerosis (ALS). Method An automated acoustic DDK analysis was developed, which filtered out the voice features and extracted the envelope of the acoustic waveform reflecting the temporal pattern of syllable repetitions during an oral DDK task (i.e., repetitions of /tɑ/ at the maximum rate on 1 breath). Cycle-to-cycle temporal variability (cTV) of envelope fluctuations and syllable repetition rate (sylRate) were derived from the envelope and validated against 2 kinematic measures, which are tongue movement jitter (movJitter) and alternating tongue movement rate (AMR) during the DDK task, in 16 individuals with bulbar ALS and 18 healthy controls. After the validation, cTV, sylRate, movJitter, and AMR, along with an established clinical speech measure, that is, speaking rate (SR), were compared in their ability to (a) differentiate individuals with ALS from healthy controls and (b) detect early-stage bulbar declines in ALS. Results cTV and sylRate were significantly correlated with movJitter and AMR, respectively, across individuals with ALS and healthy controls, confirming the validity of the acoustic DDK analysis in extracting the temporal DDK pattern. Among all the acoustic and kinematic DDK measures, cTV showed the highest diagnostic accuracy (i.e., 0.87) with 80% sensitivity and 94% specificity in differentiating individuals with ALS from healthy controls, which outperformed the SR measure. Moreover, cTV showed a large increase during the early disease stage, which preceded the decline of SR. Conclusions This study provided preliminary validation of a novel automated acoustic DDK analysis in extracting a useful measure, namely, cTV, for early detection of bulbar ALS. This analysis overcame a major barrier in the existing acoustic DDK analysis, which is continuous voicing between syllables that interferes with syllable structures. This approach has potential clinical applications as a novel bulbar assessment.

Amyotrophic Lateral Sclerosis Assessment Questionnaire-5--Turkish Version

2019 ◽  
Author(s):  
Naile Alankaya ◽  
Zeliha Tülek ◽  
Aylin Özakgül ◽  
Alper Kaya ◽  
Aynur Dik
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Turkish Version ◽  
Assessment Questionnaire ◽  
Lateral Sclerosis

Amyotrophic Lateral Sclerosis Assessment Questionnaire-40--Turkish Version

2019 ◽  
Author(s):  
Naile Alankaya ◽  
Zeliha Tülek ◽  
Aylin Özakgül ◽  
Alper Kaya ◽  
Aynur Dik
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Turkish Version ◽  
Assessment Questionnaire ◽  
Lateral Sclerosis

Difference in cortical activity of lumbar- and bulbar-form of Amyotrophic lateral sclerosis: an fMRI study

2009 ◽  
Vol 40 (01) ◽  
Author(s):  
K Kollewe ◽  
K Krampfl ◽  
A Samii ◽  
R Dengler ◽  
T Münte ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Cortical Activity ◽  
Fmri Study ◽  
Lateral Sclerosis
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