Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

The objective of the study was to analyze the doppler sonography findings of vertebrobasilar circulation (VB) in patients with Parkinson’s disease. 40 patients were analyzed (25 men’s and 15 women) with Parkinson’s disease, average age was 61,9 years (SD=11,43), treated at the Clinic for Neurology in Tuzla. Device for doppler sonography was Multidop x 4. Doppler sonography findings of VB circulation were analyzed in order to computerized tomography (CT) findings of the brain (with or without ischemic lacunar lesions) and in order to presence of postural disturbances as one of dominant Parkinson’s disease symptoms during actual hospitalization. Our results suggest that vertebrobasilar insufficiency is more frequent in patients with Parkinson’s disease (no matter of type) and postural disturbances as a dominant symptom comparing to group of Parkinson’s disease patients without postural disturbances. These results implicate the importance of doppler sonography findings of vertebrobasilar circulation in patients with Parkinson’s disease and possibility of considering role of vertebrobasilar insufficiency in development of postural disturbances.

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Role of Ketogenic Diets in Neurodegenerative Diseases (Alzheimer’s Disease and Parkinson’s Disease)

Nutrients ◽

10.3390/nu11010169 ◽

2019 ◽

Vol 11 (1) ◽

pp. 169 ◽

Cited By ~ 47

Author(s):

Dariusz Włodarek

Keyword(s):

Alzheimer’S Disease ◽

Parkinson’S Disease ◽

Alzheimer's Disease ◽

Parkinson's Disease ◽

Neurodegenerative Diseases ◽

Ketogenic Diet ◽

Elderly Persons ◽

Disease Symptoms ◽

Ketogenic Diets

The goal of this review was to assess the effectiveness of ketogenic diets on the therapy of neurodegenerative diseases. The ketogenic diet is a low-carbohydrate and fat-rich diet. Its implementation has a fasting-like effect, which brings the body into a state of ketosis. The ketogenic diet has, for almost 100 years, been used in the therapy of drug-resistant epilepsy, but current studies indicate possible neuroprotective effects. Thus far, only a few studies have evaluated the role of the ketogenic diet in the prevention of Parkinson’s disease (PD) and Alzheimer’s disease (AD). Single studies with human participants have demonstrated a reduction of disease symptoms after application. The application of the ketogenic diet to elderly people, however, raises certain concerns. Persons with neurodegenerative diseases are at risk of malnutrition, while food intake reduction is associated with disease symptoms. In turn, the ketogenic diet leads to a reduced appetite; it is not attractive from an organoleptic point of view, and may be accompanied by side effects of the gastrointestinal system. All this may lead to further lowering of consumed food portions by elderly persons with neurodegenerative diseases and, in consequence, to further reduction in the supply of nutrients provided by the diet. Neither data on the long-term application of the ketogenic diet in patients with neurodegenerative disease or data on its effects on disease symptoms are available. Further research is needed to evaluate the suitability of the ketogenic diet in the therapy of AD- or PD-affected persons.

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Wearable sensors in the diagnosis and study of Parkinson’s disease symptoms: a systematic review

Journal of Medical Engineering & Technology ◽

10.1080/03091902.2021.1922528 ◽

2021 ◽

pp. 1-14

Author(s):

Andrea C. Albán-Cadena ◽

Fernando Villalba-Meneses ◽

Kevin O. Pila-Varela ◽

Alejandro Moreno-Calvo ◽

Carlos P. Villalba-Meneses ◽

...

Keyword(s):

Systematic Review ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Wearable Sensors ◽

Disease Symptoms

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Parkinson’s Disease: Personalized Pathway of Care for Device-Aided Therapies (DAT) and the Role of Continuous Objective Monitoring (COM) Using Wearable Sensors

Journal of Personalized Medicine ◽

10.3390/jpm11070680 ◽

2021 ◽

Vol 11 (7) ◽

pp. 680

Author(s):

Vinod Metta ◽

Lucia Batzu ◽

Valentina Leta ◽

Dhaval Trivedi ◽

Aleksandra Powdleska ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Wearable Sensors ◽

Motor Fluctuations ◽

Advanced Stage ◽

Personalized Care ◽

Objective Monitoring ◽

Pathway Of Care ◽

Non Motor Symptoms

Parkinson’s disease (PD) is a chronic, progressive neurological disorder and the second most common neurodegenerative condition. Advanced PD is complicated by erratic gastric absorption, delayed gastric emptying in turn causing medication overload, and hence the emergence of motor and non-motor fluctuations and dyskinesia, which is initially predictable and then becomes unpredictable. As the patient progresses to the advanced stage, advanced Parkinson’s disease (APD) is characterized by refractory motor and non motor fluctuations, unpredictable OFF periods, and troublesome dyskinesias The management of APD is a complex affair. There is growing recognition that GI dysfunction is common in PD, with virtually the entire GI system (the upper and lower GI tracts) causing problems from dribbling to defecation. The management of PD should focus on personalized care addressing both motor and non-motor symptoms, ideally including not only dopamine replacement but also associated non-dopaminergic circuits, particularly focusing on noradrenergic, serotonergic, and cholinergic therapies bypassing the gastrointestinal tract (GIT) by infusion or device-aided therapies (DAT), including levodopa–carbidopa intestinal gel infusion, apomorphine subcutaneous infusion, and deep brain stimulation, which are available in many countries for the management of the advanced stage of Parkinson’s disease (APD). The PKG (KinetiGrap) can be used as a continuous objective monitoring (COM) aid, as a screening tool to help to identify advanced PD (APD) patients suitable for DAT, and can thus improve clinical outcomes.

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Monitoring Parkinson’s disease symptoms during daily life: a feasibility study

npj Parkinson s Disease ◽

10.1038/s41531-019-0093-5 ◽

2019 ◽

Vol 5 (1) ◽

Cited By ~ 7

Author(s):

Margot Heijmans ◽

Jeroen G. V. Habets ◽

Christian Herff ◽

Jos Aarts ◽

An Stevens ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Monitoring System ◽

Daily Life ◽

Wearable Sensors ◽

Ground Truth ◽

Sensor Data ◽

Disease Monitoring ◽

Subjective Character ◽

Disease Symptoms

Abstract Parkinson’s disease symptoms are most often charted using the MDS-UPDRS. Limitations of this approach include the subjective character of the assessments and a discrepant performance in the clinic compared to the home situation. Continuous monitoring using wearable devices is believed to eventually replace this golden standard, but measurements often lack a parallel ground truth or are only tested in lab settings. To overcome these limitations, this study explores the feasibility of a newly developed Parkinson’s disease monitoring system, which aims to measure Parkinson’s disease symptoms during daily life by combining wearable sensors with an experience sampling method application. Twenty patients with idiopathic Parkinson’s disease participated in this study. During a period of two consecutive weeks, participants had to wear three wearable sensors and had to complete questionnaires at seven semi-random moments per day on their mobile phone. Wearable sensors collected objective movement data, and the questionnaires containing questions about amongst others Parkinson’s disease symptoms served as parallel ground truth. Results showed that participants wore the wearable sensors during 94% of the instructed timeframe and even beyond. Furthermore, questionnaire completion rates were high (79,1%) and participants evaluated the monitoring system positively. A preliminary analysis showed that sensor data could reliably predict subjectively reported OFF moments. These results show that our Parkinson’s disease monitoring system is a feasible method to use in a diverse Parkinson’s disease population for at least a period of two weeks. For longer use, the monitoring system may be too intense and wearing comfort needs to be optimized.

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