Objective Assessment of Bradykinesia Estimated from the Wrist Extension in Older Adults and Patients with Parkinson’s Disease

2017 ◽  
Vol 45 (11) ◽  
pp. 2614-2625 ◽  
Author(s):  
Amanda Gomes Rabelo ◽  
Lucio Pereira Neves ◽  
Ana Paula S. Paixão ◽  
Fábio Henrique Monteiro Oliveira ◽  
Luciane Aparecida Pascucci Sande de Souza ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Objective Assessment ◽  
Wrist Extension

scholarly journals A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson’s Patients

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 981
Author(s):  
Asma Channa ◽  
Rares-Cristian Ifrim ◽  
Decebal Popescu ◽  
Nirvana Popescu
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Objective Assessment ◽  
Spectral Features ◽  
Motor Symptoms ◽  
Healthy Controls ◽  
Clinical Environment ◽  
Hand Tremor

Parkinson’s disease patients face numerous motor symptoms that eventually make their life different from those of normal healthy controls. Out of these motor symptoms, tremor and bradykinesia, are relatively prevalent in all stages of this disease. The assessment of these symptoms is usually performed by traditional methods where the accuracy of results is still an open question. This research proposed a solution for an objective assessment of tremor and bradykinesia in subjects with PD (10 older adults aged greater than 60 years with tremor and 10 older adults aged greater than 60 years with bradykinesia) and 20 healthy older adults aged greater than 60 years. Physical movements were recorded by means of an AWEAR bracelet developed using inertial sensors, i.e., 3D accelerometer and gyroscope. Participants performed upper extremities motor activities as adopted by neurologists during the clinical assessment based on Unified Parkinson’s Disease Rating Scale (UPDRS). For discriminating the patients from healthy controls, temporal and spectral features were extracted, out of which non-linear temporal and spectral features show greater difference. Both supervised and unsupervised machine learning classifiers provide good results. Out of 40 individuals, neural net clustering discriminated 34 individuals in correct classes, while the KNN approach discriminated 91.7% accurately. In a clinical environment, the doctor can use the device to comprehend the tremor and bradykinesia of patients quickly and with higher accuracy.

scholarly journals Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Robbin Romijnders ◽  
Elke Warmerdam ◽  
Clint Hansen ◽  
Julius Welzel ◽  
Gerhard Schmidt ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Neurological Diseases ◽  
Detection Performance ◽  
Measurement Unit ◽  
Straight Line ◽  
Optical Motion ◽  
Task Conditions

Abstract Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease. Previous research has shown that gait events can be detected from a shank-mounted inertial measurement unit (IMU), however detection performance was often evaluated only from straight-line walking. For use in daily life, the detection performance needs to be evaluated in curved walking and turning as well as in single-task and dual-task conditions. Methods Participants (older adults, people with Parkinson’s disease, or people who had suffered from a stroke) performed three different walking trials: (1) straight-line walking, (2) slalom walking, (3) Stroop-and-walk trial. An optical motion capture system was used a reference system. Markers were attached to the heel and toe regions of the shoe, and participants wore IMUs on the lateral sides of both shanks. The angular velocity of the shank IMUs was used to detect instances of initial foot contact (IC) and final foot contact (FC), which were compared to reference values obtained from the marker trajectories. Results The detection method showed high recall, precision and F1 scores in different populations for both initial contacts and final contacts during straight-line walking (IC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%), slalom walking (IC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%), and turning (IC: recall $$\ge$$ ≥ 85%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 91%; FC: recall $$\ge$$ ≥ 84%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 89%). Conclusions Shank-mounted IMUs can be used to detect gait events during straight-line walking, slalom walking and turning. However, more false events were observed during turning and more events were missed during turning. For use in daily life we recommend identifying turning before extracting temporal gait parameters from identified gait events.

Evaluation of Motor and Cognitive Performance in People with Parkinson’s Disease Using Instrumented Trail-Making Test

Gerontology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Ram kinker Mishra ◽  
Catherine Park ◽  
He Zhou ◽  
Bijan Najafi ◽  
T. Adam Thrasher
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Performance ◽  
Pairwise Comparison ◽  
Walking Test ◽  
Cognitively Normal ◽  
Early Results ◽  
Trail Making ◽  
Changes Over Time

<b><i>Introduction:</i></b> Parkinson’s disease (PD) progressively impairs motor and cognitive performance. The current tools to detect decline in motor and cognitive functioning are often impractical for busy clinics and home settings. To address the gap, we designed an instrumented trail-making task (iTMT) based on a wearable sensor (worn on the shin) with interactive game-based software installed on a tablet. The iTMT test includes reaching to 5 indexed circles, a combination of numbers (1–3) and letters (A&amp;B) randomly positioned inside target circles, in a sequential order, which virtually appears on a screen kept in front of the participants, by rotating one’s ankle joint while standing and holding a chair for safety. By measuring time to complete iTMT task (iTMT time), iTMT enables quantifying cognitive-motor performance. <b><i>Purpose:</i></b> This study’s objective is to examine the feasibility of iTMT to detect early cognitive-motor decline in PDs. <b><i>Method:</i></b> Three groups of volunteers, including 14 cognitively normal (CN) older adults, 14 PDs, and 11 mild cognitive impaireds (MCI), were recruited. Participants completed MoCA, 20 m walking test, and 3 trials of iTMT. <b><i>Results:</i></b> All participants enabled to complete iTMT with &#x3c;3 min, indicating high feasibility. The average iTMT time for CN-Older, PD, and MCI participants were 20.9 ± 0.9 s, 32.3 ± 2.4 s, and 40.9 ± 4.5 s, respectively. After adjusting for age and education level, pairwise comparison suggested large effect sizes for iTMT between CN-older versus PD (Cohen’s <i>d</i> = 1.7, <i>p</i> = 0.024) and CN-older versus MCI (<i>d</i> = 1.57, <i>p</i> &#x3c; 0.01). Significant correlations were observed when comparing iTMT time with the gait speed (<i>r</i> = −0.4, <i>p</i> = 0.011) and MoCA score (<i>r</i> = −0.56, <i>p</i> &#x3c; 0.01). <b><i>Conclusion:</i></b> This study demonstrated the feasibility and early results supporting the potential application of iTMT to determine cognitive-motor and distinguishing individuals with MCI and PD from CN-older adults. Future studies are warranted to test the ability of iTMT to track its subtle changes over time.

scholarly journals Sleep fragmentation and Parkinson's disease pathology in older adults without Parkinson's disease

2017 ◽  
Vol 32 (12) ◽  
pp. 1729-1737 ◽  
Author(s):  
Shahmir Sohail ◽  
Lei Yu ◽  
Julie A. Schneider ◽  
David A. Bennett ◽  
Aron S. Buchman ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Fragmentation

scholarly journals Response to Telemedicine Visits From Patients With Parkinsonism During the COVID-19 Pandemic on Postvisit Surveys

2021 ◽  
Vol 8 ◽  
pp. 237437352199722
Author(s):  
Wissam Deeb ◽  
Christopher W Hess ◽  
Noheli Gamez ◽  
Bhavana Patel ◽  
Kathryn Moore ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurodegenerative Disorders ◽  
Tertiary Care ◽  
Specialty Clinic ◽  
Cognitive Limitations ◽  
Time Savings ◽  
Ease Of Access ◽  
Almost All

Parkinson’s disease and parkinsonism are common chronic neurodegenerative disorders that tend to affect older adults and cause physical and sometimes cognitive limitations. Given that these limitations could impact successful telemedicine use, we aimed to investigate the experiences of patients with parkinsonism using telemedicine during the COVID-19 pandemic. A 19-item survey was emailed to patients with parkinsonism following telemedicine visits at a single US tertiary care parkinsonism specialty clinic. Seventy-four individuals responded, out of 270 invitations sent. Almost two-thirds (61.6%) of the respondents were comfortable with using technology in general, and almost all were very satisfied with their telemedicine experience. The most commonly reported benefits included cost and travel savings, ease of access to a specialist, and time savings. Issues with technology and previsit instructions were the most commonly identified challenges (28%). Urgent implementation, due to the pandemic, of telemedicine care for patients with parkinsonism was feasible and well received. The challenges most commonly reported by patients could be potentially alleviated by better education and support.

Clinical issues in the treatment of anxiety and depression in older adults with Parkinson's disease

2013 ◽  
Vol 28 (14) ◽  
pp. 1930-1934 ◽  
Author(s):  
Nancy A. Pachana ◽  
Sarah J. Egan ◽  
Ken Laidlaw ◽  
Nadeeka Dissanayaka ◽  
Gerard J. Byrne ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Anxiety And Depression ◽  
Clinical Issues

scholarly journals A Wearable System to Objectify Assessment of Motor Tasks for Supporting Parkinson’s Disease Diagnosis

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2630 ◽  
Author(s):  
Erika Rovini ◽  
Carlo Maremmani ◽  
Filippo Cavallo
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Objective Assessment ◽  
Disease Diagnosis ◽  
Support Vector ◽  
Motor Tasks ◽  
Wearable System ◽  
Support Tool ◽  
Average Accuracy ◽  
Open Issue

Objective assessment of the motor evaluation test for Parkinson’s disease (PD) diagnosis is an open issue both for clinical and technical experts since it could improve current clinical practice with benefits both for patients and healthcare systems. In this work, a wearable system composed of four inertial devices (two SensHand and two SensFoot), and related processing algorithms for extracting parameters from limbs motion was tested on 40 healthy subjects and 40 PD patients. Seventy-eight and 96 kinematic parameters were measured from lower and upper limbs, respectively. Statistical and correlation analysis allowed to define four datasets that were used to train and test five supervised learning classifiers. Excellent discrimination between the two groups was obtained with all the classifiers (average accuracy ranging from 0.936 to 0.960) and all the datasets (average accuracy ranging from 0.953 to 0.966), over three conditions that included parameters derived from lower, upper or all limbs. The best performances (accuracy = 1.00) were obtained when classifying all the limbs with linear support vector machine (SVM) or gaussian SVM. Even if further studies should be done, the current results are strongly promising to improve this system as a support tool for clinicians in objectifying PD diagnosis and monitoring.

scholarly journals A protocol to examine vision and gait in Parkinson’s disease: impact of cognition and response to visual cues

F1000Research ◽  
2016 ◽  
Vol 4 ◽  
pp. 1379 ◽  
Author(s):  
Samuel Stuart ◽  
Brook Galna ◽  
Sue Lord ◽  
Lynn Rochester
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Visual Cues ◽  
Saccadic Eye Movements ◽  
Eye Tracker ◽  
Motor Tasks ◽  
3D Motion Analysis ◽  
Visual Sampling ◽  
Measure Of Performance

BackgroundCognitive and visual impairments are common in Parkinson’s disease (PD) and contribute to gait deficit and falls. To date, cognition and vision in gait in PD have been assessed separately. Impact of both functions (which we term ‘visuo-cognition’) on gait however is likely interactive and can be tested using visual sampling (specifically saccadic eye movements) to provide an online behavioural measure of performance. Although experiments using static paradigms show saccadic impairment in PD, few studies have quantified visual sampling during dynamic motor tasks such as gait.This article describes a protocol developed for testing visuo-cognition during gait in order to examine the: 1) independent roles of cognition and vision in gait in PD, 2) interaction between both functions, and 3) role of visuo-cognition in gait in PD.Methods Two groups of older adults (≥50 years old) were recruited; non-demented people with PD (n=60) and age-matched controls (n=40). Participants attended one session and a sub-group (n=25) attended two further sessions in order to establish mobile eye-tracker reliability. Participants walked in a gait laboratory under different attentional (single and dual task), environmental (walk straight, through a door and turning), and cueing (no visual cues and visual cues) conditions. Visual sampling was recorded using synchronised mobile eye-tracker and electrooculography systems, and gait was measured using 3D motion analysis.Discussion This exploratory study examined visuo-cognitive processes and their impact on gait in PD. Improved understanding of the influence of cognitive and visual functions on visual sampling during gait and gait in PD will assist in development of interventions to improve gait and reduce falls risk. This study will also help establish robust mobile eye-tracking methods in older adults and people with PD.

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