Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †

Autor: Dae Hyeon Yim, Dong Hyun Ahn, Hyun Kyung Park, Kangryul Kim, Young Hyo Lim, Seok Hyun Cho, Johanna Inhyang Kim, Sung Ho Cho, Won Hyuk Lee
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Tic disorder
Movement disorders
Computer science
Movement
IR-UWB radar sensor
02 engineering and technology
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
law.invention
03 medical and health sciences
0302 clinical medicine
Radar engineering details
law
0202 electrical engineering
electronic engineering
information engineering
medicine
Humans
lcsh:TP1-1185
Electrical and Electronic Engineering
Radar
Instrumentation
Dystonia
Measure (data warehouse)
Movement Disorders
business.industry
020206 networking & telecommunications
Actigraphy
Pattern recognition
Signal Processing
Computer-Assisted
medicine.disease
Atomic and Molecular Physics
and Optics
hyperactivity
Activity measurements
Artificial intelligence
movement disorder
medicine.symptom
business
030217 neurology & neurosurgery
Algorithms
actigraphy
Zdroj: Sensors, Vol 19, Iss 3, p 688 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 3
ISSN: 1424-8220
Popis: Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjective rating scales and clinical observations, the objective quantification of activity remains a challenging area. The purpose of our study was to verify whether an impulse radio ultra-wideband (IR-UWB) radar sensor technique is useful for an objective measurement of activity. Thus, we proposed an activity measurement algorithm and quantitative activity indicators for clinical assistance, based on IR-UWB radar sensors. The received signals of the sensor are sufficiently sensitive to measure heart rate, and multiple sensors can be used together to track the positions of people. To measure activity using these two features, we divided movement into two categories. For verification, we divided these into several scenarios, depending on the amount of activity, and compared with an actigraphy sensor to confirm the clinical feasibility of the proposed indicators. The experimental environment is similar to the environment of the comprehensive attention test (CAT), but with the inclusion of the IR-UWB radar. The experiment was carried out, according to a predefined scenario. Experiments demonstrate that the proposed indicators can measure movement quantitatively, and can be used as a quantified index to clinically record and compare patient activity. Therefore, this study suggests the possibility of clinical application of radar sensors for standardized diagnosis.
Databáze: OpenAIRE
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