Evidence map›Paper›PMID 30744003›Full record

ArticleSensors (Basel, Switzerland)2019

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

Daehyeon Yim, Won Hyuk Lee, Johanna Inhyang Kim, Kangryul Kim, Dong Hyun Ahn, Young-Hyo Lim, Seok Hyun Cho, Hyun-Kyung Park, Sung Ho Cho

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 28 citations in OpenAlex.

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  4. Entropy-Based Human Activity Measure Using FMCW Radar.Entropy (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Daehyeon YimDepartment of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 04763, Korea. ldh166@hanyang.ac.kr.ORCID 0000-0002-7655-6588
Won Hyuk LeeDepartment of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 04763, Korea. lwh9886@gmail.com.ORCID 0000-0002-9187-0049
Johanna Inhyang KimDepartment of Psychiatry, Hanyang University Medical Center, 222-1 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. iambabyvox@hanmail.net.ORCID 0000-0002-2367-0934
Kangryul KimDepartment of Psychiatry, Hanyang University Medical Center, 222-1 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. kangryul@naver.com.
Dong Hyun AhnDepartment of Psychiatry, Hanyang University College of Medicine, 222Wangsimini-ro, Seongdong-gu, Seoul 04763, Korea. ahndh@hanyang.ac.kr.
Young-Hyo LimDivision of Cardiology, Department of Internal medicine, Hanyang University College of Medicine, 222Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. mdoim@hanyang.ac.kr.
Seok Hyun ChoDepartment of Otorhinolaryngology-Head and Neck Surgery, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. shcho@hanyang.ac.kr.
Hyun-Kyung ParkDepartment of Pediatrics, Hanyang University College of Medicine, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. dragon@hanyang.ac.kr.ORCID 0000-0002-2393-1428
Sung Ho ChoDepartment of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 04763, Korea. neopark@hanyang.ac.kr.ORCID 0000-0001-5956-9208
Hanyang University · KRHanyang University Medical Center · KR

Funding

National Research Foundation of Korea 2017M3A9E2064735
6 · The paper itself

Abstract

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.

Indexed as

RadarSignal Processing, Computer-AssistedActigraphyAlgorithmsHumansMovementMovement DisordersactigraphyhyperactivityIR-UWB radar sensormovement disorder

Identifiers

PMID30744003
PMCPMC6387084
OpenAlexW2914886810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.