ParkScreen: A Low-Cost Rapid Linkage Marker Panel for Parkinson’s Disease

Abstract BackgroundPatients with Parkinson’s disease (PD) can develop the cognitive adverse effect of impulse control disorders (ICDs) while undergoing a pharmacological treatment for motor control dysfunctions with a dopamine agonist (DA). Conventional clinical interviews or questionnaires can be biased and may not provide an accurate diagnosis in the early stage. A wearable electroencephalogram (EEG)-sensing headset paired with an examination procedure can be a potential user-friendly method to explore ICD-related biomarkers that can reflect brain activity abnormalities and detect its early signs and progression.MethodsA stereotypical Go/NoGo test that targets impulse inhibition was performed with 59 individuals, including heathy controls, patients with PD, and patients with PD diagnosed with ICD. A low-cost LEGO-like EEG headset was used to record concurrent EEG signals. The event-related potential (ERP) analytical framework was then used to explore ICD-related EEG abnormalities after DA treatment.ResultsOnly PD patients with ICD exhibited a tendency for N2 and P3 amplitude deterioration at the fronto-central regions (i.e., Fz, FCz, and Cz); in particular, the P3 counterpart reached statistical significance (p<0.05). Neither PD patients nor healthy controls (without DA) replicated such findings. Furthermore, N2 amplitude deterioration was found to be related to ICD severity at Fz (r=-0.28, p=0.04).ConclusionsA low-cost LEGO-like EEG headset successfully captured ERP neuromarkers for the objective assessment of ICD in PD patients undergoing DA treatment. The present objective neuro-evidence could provide complementary information to conventional clinical scales used to diagnose the ICD adverse effect.

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Tecnologia assistiva em 3D para pessoas com déficit de função manual por doença de parkinson/Assistive Technology in 3d for people with manual function deficit in parkinson's disease

Revista Interinstitucional Brasileira de Terapia Ocupacional - REVISBRATO ◽

10.47222/2526-3544.rbto12549 ◽

2017 ◽

Vol 1 (4) ◽

pp. 465-474

Author(s):

Daniela Salgado Amaral ◽

Danielle Sanguinetti ◽

Juliana Cassiano Amancio Da Silva ◽

Priscila Romão Caldas ◽

José Ângelo Peixoto Da Costa ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Assistive Technology ◽

Low Cost ◽

Cross Sectional Study ◽

Motor Deficit ◽

Occupational Performance ◽

Cross Sectional ◽

Patient Reported ◽

Manual Skills

A Doença de Parkinson (DP) é uma síndrome neurodegenerativa que se caracteriza essencialmente por déficts motores, incluindo prejuízos nas habilidades manuais, o que interferem no desempenho das atividades cotidianas. Os terapeutas ocupacionais utilizam recursos de Tecnologia Assistiva (TA) para favorecer a autonomia e independência. O uso de TA impressa em 3D é um recurso inovador e possibilita a personalização com baixo custo. O objetivo desta pesquisa é descrever o processo de avaliação e desenvolvimento de produtos de TA em 3D para pessoas com déficit de função manual por Doença de Parkinson. Trata-se de um estudo observacional, descritivo, de corte transversal, do tipo relato de caso. A paciente estudada tinha 61 anos, diagnosticada há 3 anos e era auxiliar administrativa. Apresentava déficit nas habilidades manuais de leve à moderado e as atividades com maior prejuízos funcionais foram: usar colher, varrer casa, usar escova de dentes e manusear a agulha de crochê. A pontuação média de desempenho foi 6,0 e de satisfação 4,5, de acordo com a Medida Canadense de Desempenho Ocupacional, para as atividades citadas. Após escaneamento do membro superior foi impressa em 3D uma adaptação universal para favorecer as atividades do uso da colher, da escova de dente e da agulha de crochê. O recurso proporcionou um melhor desempenho nas atividades e a paciente destacou satisfação com o uso do recurso e serviço utilizados. Dessa forma, A TA impressa em 3D pode ser um recurso eficaz e se faz necessário ampliar os estudos na área. AbstractParkinson's disease (PD) is a neurodegenerative syndrome that is essentially characterized by motor deficit, including impairments in manual skills, which may interfere with the performance of daily activities. Occupational therapists use Assistive Technology (AT) resources to promote autonomy and independence. The use of AT printed in 3D is a resourse innovative and possibility of customization and low cost. The objective of the research is to describe the process of evaluating and developing 3D AT products for people with Parkinson's disease manual function deficit. This is an observational, descriptive, cross-sectional study of the case report type. The patient studied was 61 years old, diagnosed 3 years ago and was an administrative assistant. There were deficits in the manual skills of mild to moderate and the activities with the greatest functional losses were: to use spoon, to sweep house, to use toothbrush, and to handle the crochet needle. The average performance score was 6.0 and satisfaction 4.5, According to the Canadia Measure of Occupational Performance, for the above activities. After scanning the upper limb was printed in 3D universal adaptation with main focus on favoring the activities of using the spoon, toothbrush and crochet needle. The resource favored a better performance in the activities and the patient reported satisfaction with the use of the resource and service used. Assistive technology printed in 3D can be an effective resource, it is necessary to expand the studies in the area.Keywords: Parkinson's disease; Self-Help Devices; Occupational Therapy. Resumen La enfermedad de Parkinson (DP) es un síndrome neurodegenerativo que se caracteriza esencialmente por déficits motores, incluyendo perjuicios en las habilidades manuales, lo que puede interferir en el desempeño de las actividades cotidianas. Los terapeutas ocupacionales utilizan recursos de Tecnología Asistiva (TA) para favorecer la autonomía e independencia. El uso de TA impresa en 3D es un recurso innovador por la posibilidad de la personalización y bajo costo. El objetivo de la investigación es describir el proceso de evaluación y desarrollo de productos de TA en 3D para personas con déficit de función manual por enfermedad de Parkinson. Se trata de un estudio observacional, descriptivo, de corte transversal, del tipo relato de caso. La paciente estudiada tenía 61 años, diagnosticada hace 3 años y era auxiliar administrativo. Presentaba déficit en las habilidades manuales de leve a moderado y las actividades con mayor perjuicios funcionales fueron: usar cuchara, barrer casa, usar cepillo de dientes, y manipular la aguja de crochet. La puntuación media de rendimiento fue de 6,0 y de satisfacción 4,5, de acuerdo con la Medida Canadiense de Desempeño Ocupacional, para las actividades citadas. Después del escaneado del miembro superior se imprimió en 3D adaptación universal con principal foco en favorecer las actividades del uso de la cuchara, del cepillo de dientes y de la aguja de crochet. El recurso favoreció un mejor desempeño en las actividades y la paciente relató satisfacción con el uso del recurso y servicio utilizados. La tecnología asistiva impresa en 3D puede ser un recurso eficaz, se hace necesario ampliar los estudios en el área.Palavras clave: Enfermedad de Parkinson; Dispositivos de Autoayuda; Terapia Ocupacional.

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Efficacy and Acceptance of a Lombard-response Device for Hypophonia in Parkinson’s Disease

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques ◽

10.1017/cjn.2020.90 ◽

2020 ◽

Vol 47 (5) ◽

pp. 634-641

Author(s):

Scott Adams ◽

Niraj Kumar ◽

Philippe Rizek ◽

Angeline Hong ◽

Jenny Zhang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Low Cost ◽

Communication Effectiveness ◽

Conversational Speech ◽

Trial Period ◽

Speech Impairment ◽

Response Device ◽

High Satisfaction

ABSTRACT:Objective:The purpose of this study was to examine the effectiveness, satisfaction, and acceptance of a low-cost Lombard-response (LR) device in a group of individuals with Parkinson’s disease (IWPD) and their communication partners (CPs).Method:Sixteen IWPD and hypophonia and their CPs participated in the study. The IWPD wore a LR device that included a small MP3 player (Sony Walkman) and headphones playing a multi-talker noise audio file at 80 dB during lab-based speech tasks and during their daily conversational speech over a 2-week device trial period. Outcome measures included average conversational speech intensity and scores on a questionnaire related to speech impairment, communication effectiveness, and device satisfaction.Results:Conversational speech intensity of the IWPD is increased by 7 to 10 dB with the LR device. Following a 2-week trial period, eight of the IWPD (50%) gave the LR device moderate-to-high satisfaction and effectiveness ratings and decided to purchase the device for long-term daily use. At the 4-month follow-up, none of the IWPDs were still using the LR device. Device rejection was related to discomfort (loudness), headaches, interference with cognition, and difficulty controlling device.Conclusion:Short-term acceptance and satisfaction with the LR device was moderate, but long-term acceptance, beyond 4 months, was absent. Future studies are required to determine if other types of low-cost LR devices can be developed that improve long-term efficacy and device acceptance in IWPD and hypophonia.

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Detecting Parkinson’s Disease from Wrist-Worn Accelerometry in the U.K. Biobank

Sensors ◽

10.3390/s21062047 ◽

2021 ◽

Vol 21 (6) ◽

pp. 2047

Author(s):

James R. Williamson ◽

Brian Telfer ◽

Riley Mullany ◽

Karl E. Friedl

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Data Collection ◽

Symptom Severity ◽

Low Cost ◽

Area Under The Curve ◽

Primary Diagnosis ◽

Data Set ◽

Movement Data ◽

The One

Parkinson’s disease (PD) is a chronic movement disorder that produces a variety of characteristic movement abnormalities. The ubiquity of wrist-worn accelerometry suggests a possible sensor modality for early detection of PD symptoms and subsequent tracking of PD symptom severity. As an initial proof of concept for this technological approach, we analyzed the U.K. Biobank data set, consisting of one week of wrist-worn accelerometry from a population with a PD primary diagnosis and an age-matched healthy control population. Measures of movement dispersion were extracted from automatically segmented gait data, and measures of movement dimensionality were extracted from automatically segmented low-movement data. Using machine learning classifiers applied to one week of data, PD was detected with an area under the curve (AUC) of 0.69 on gait data, AUC = 0.84 on low-movement data, and AUC = 0.85 on a fusion of both activities. It was also found that classification accuracy steadily improved across the one-week data collection, suggesting that higher accuracy could be achievable from a longer data collection. These results suggest the viability of using a low-cost and easy-to-use activity sensor for detecting movement abnormalities due to PD and motivate further research on early PD detection and tracking of PD symptom severity.

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Validation of quantitative gait analysis systems for Parkinson’s disease for use in supervised and unsupervised environments

BMC Neurology ◽

10.1186/s12883-021-02354-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sara Alberto ◽

Sílvia Cabral ◽

João Proença ◽

Filipa Pona-Ferreira ◽

Mariana Leitão ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Inertial Sensor ◽

Low Cost ◽

Wearable Sensors ◽

Smartphone Application ◽

Control Group ◽

Wearable Systems ◽

Full Body

Abstract Background Gait impairments are among the most common and impactful symptoms of Parkinson’s disease (PD). Recent technological advances aim to quantify these impairments using low-cost wearable systems for use in either supervised clinical consultations or long-term unsupervised monitoring of gait in ecological environments. However, very few of these wearable systems have been validated comparatively to a criterion of established validity. Objective We developed two movement analysis solutions (3D full-body kinematics based on inertial sensors, and a smartphone application) in which validity was assessed versus the optoelectronic criterion in a population of PD patients. Methods Nineteen subjects with PD (7 female) participated in the study (age: 62 ± 12.27 years; disease duration: 6.39 ± 3.70 years; HY: 2 ± 0.23). Each participant underwent a gait analysis whilst barefoot, at a self-selected speed, for a distance of 3 times 10 m in a straight line, assessed simultaneously with all three systems. Results Our results show excellent agreement between either solution and the optoelectronic criterion. Both systems differentiate between PD patients and healthy controls, and between PD patients in ON or OFF medication states (normal difference distributions pooled from published research in PD patients in ON and OFF states that included an age-matched healthy control group). Fair to high waveform similarity and mean absolute errors below the mean relative orientation accuracy of the equipment were found when comparing the angular kinematics between the full-body inertial sensor-based system and the optoelectronic criterion. Conclusions We conclude that the presented solutions produce accurate results and can capture clinically relevant parameters using commodity wearable sensors or a simple smartphone. This validation will hopefully enable the adoption of these systems for supervised and unsupervised gait analysis in clinical practice and clinical trials.

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