A Movement-Tremors Recorder for Patients of Neurodegenerative Diseases

Neurodegenerative diseases such as Alzheimer, Parkinson, motor neuron, and Chorea affect millions of people today. Their effect on the central nervous system causes the loss of brain functions as well as motor disturbances and sometimes cognitive deficits. In such a scenario, the monitoring and eval...

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Vydáno v:IEEE transactions on instrumentation and measurement Ročník 68; číslo 5; s. 1451 - 1457
Hlavní autoři: Gugliandolo, Giovanni, Campobello, Giuseppe, Capra, Pier Paolo, Marino, S., Bramanti, A., Di Lorenzo, G., Donato, Nicola
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Accelerometers
Algorithms
Biomedical monitoring
Bluetooth
Brain
Calibration
Central nervous system
Data compression
Data transmission
Diseases
Embedded systems
Monitoring
Motors
neurodegenerative diseases
Neurological diseases
Power consumption
Power efficiency
Signs and symptoms
Tracking
tremor evaluation
Tremors
wearable monitoring system
Wireless fidelity
ISSN:0018-9456, 1557-9662
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Popis
Shrnutí:Neurodegenerative diseases such as Alzheimer, Parkinson, motor neuron, and Chorea affect millions of people today. Their effect on the central nervous system causes the loss of brain functions as well as motor disturbances and sometimes cognitive deficits. In such a scenario, the monitoring and evaluation of early symptoms are mandatory for the improvement of the patient's quality of life. Here, the authors describe the development, the laboratory calibration, and the "in-field validation" under the medical supervision of a movement tremors recorder for subjects affected by neurodegenerative diseases. The developed device is based on an array of four accelerometers connected to an embedded development board. This system is able to monitor tremor/movement, accidental falls, and, moreover, it can track the Alzheimer subjects' geographical position. A remote supervisor can collect data from the system through Bluetooth, Wi-Fi, or GSM connections. A data compression algorithm was developed directly on board in order to increase the efficiency of data transmission and reduce power consumptions.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2019.2900141