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

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.

[1]  Ingar Hanssen,et al.  A Pilot Study of Impulse Radio Ultra Wideband Radar Technology as a New Tool for Sleep Assessment. , 2018, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[2]  H. Schumacher,et al.  IR-UWB Radar Demonstrator for Ultra-Fine Movement Detection and Vital-Sign Monitoring , 2013, IEEE Transactions on Microwave Theory and Techniques.

[3]  Sung Ho Cho,et al.  Movement analysis during sleep using an IR-UWB radar sensor , 2016, 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC).

[4]  Genevieve Baudoin,et al.  CA-CFAR threshold selection for IR-UWB TOA estimation , 2011, International Workshop on Systems, Signal Processing and their Applications, WOSSPA.

[5]  Jessica M Ketchum,et al.  Actigraphy: Analyzing patient movement , 2011 .

[6]  James J. FitzGerald,et al.  Quantifying Motor Impairment in Movement Disorders , 2018, Front. Neurosci..

[7]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[8]  C. Gillberg,et al.  ADHD and the QbTest: Diagnostic Validity of QbTest , 2018, Journal of attention disorders.

[9]  Jung-Woo Son,et al.  Standardization of the Comprehensive Attention Test for the Korean Children and Adolescents. , 2009 .

[10]  Sung Ho Cho,et al.  Movement Measurement of Attention-Deficit/Hyperactivity Disorder (ADHD) Patients Using IR-UWB Radar Sensor , 2018, 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC).

[11]  M. Groom,et al.  Study of user experience of an objective test (QbTest) to aid ADHD assessment and medication management: a multi-methods approach , 2017, BMC Psychiatry.

[12]  A. Rosenfeld,et al.  Background Subtraction Algorithm Based Human Motion Detection , 2013 .

[13]  D. Quested,et al.  The use of actigraphy in the monitoring of sleep and activity in ADHD: A meta-analysis. , 2016, Sleep medicine reviews.

[14]  R. Tannock,et al.  Diagnostic Instability of DSM–IV ADHD Subtypes: Effects of Informant Source, Instrumentation, and Methods for Combining Symptom Reports , 2010, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[15]  Joseph S. Raiker,et al.  Is hyperactivity ubiquitous in ADHD or dependent on environmental demands? Evidence from meta-analysis. , 2016, Clinical Psychology Review.

[16]  H. Kam,et al.  Development of a decision support model for screening attention-deficit hyperactivity disorder with actigraph-based measurements of classroom activity , 2010, Applied Clinical Informatics.

[17]  M. Steinbuch,et al.  Velocity and Acceleration Estimation for Optical Incremental Encoders , 2008 .

[18]  Sung Ho Cho,et al.  Indoor Positioning and Body Direction Measurement System Using IR-UWB Radar , 2018, 2018 19th International Radar Symposium (IRS).

[19]  Sung Ho Cho,et al.  People Counting Based on an IR-UWB Radar Sensor , 2017, IEEE Sensors Journal.

[20]  Stewart G Trost,et al.  Comparison of three generations of ActiGraph™ activity monitors in children and adolescents , 2012, Journal of sports sciences.

[21]  Dieter Fox,et al.  Interactive 3D modeling of indoor environments with a consumer depth camera , 2011, UbiComp '11.

[22]  P. Lichtenstein,et al.  The Quantified Behavioral Test Failed to Differentiate ADHD in Adolescents With Neurodevelopmental Problems , 2018, Journal of attention disorders.

[23]  Jae-Young Pyun,et al.  Location Detection and Tracking of Moving Targets by a 2D IR-UWB Radar System , 2015, Sensors.