Evidence map›Paper›PMID 42543484›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Highly Repeatable Fibrous Crack-Based Strain Sensor for Multichannel Continuous Tremor Monitoring in Parkinson's Disease and Essential Tremor.

Chiwon Song, Chan Park, Juyoun Lee, Hojoong Kim, Jeongbeom Kang, Byeongjun Lee, Cheoljeong Park, Jungmin Kim, Haran Lee, Yoon Jae Lee and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Chiwon SongDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-2397-2641
Chan ParkDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-9291-4958
Juyoun LeeDepartment of Neurology, Chungnam National University School of Medicine, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-5075-0991
Hojoong KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Jeongbeom KangDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-4578-6241
Byeongjun LeeDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-8829-6720
Cheoljeong ParkDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-4666-2715
Jungmin KimDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-7896-2133
Haran LeeDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-8183-4661
Yoon Jae LeeWearable Intelligent Systems and Healthcare Center (WISH Center) At the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-4159-5966
Min-Kyung YeoDepartment of Pathology, Chungnam National University School of Medicine, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-8873-0021
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-5526-3882
Seong J ChoDepartment of Mechanical Engineering, Chungnam National University (CNU), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-3528-2808

Funding

BK21 FOUR Program by Chungnam National University Research GrantChungnam National UniversityGeorgia Tech Institute for Matter and SystemsGlobal Industrial Technology Cooperation CenterInstitute of Information & Communications Technology Planning & Evaluation RS-2024-00422098Institute of Information & Communications Technology Planning & Evaluation RS-2024-00443780Korea Institute for Advancement of Technology RS-2022-KI002563Korea Institute for Advancement of Technology RS-2024-00435815National Research Foundation of Korea RS-2026-25473953National Science Foundation Research Traineeship NRT-FW-HTF2345860
6 · The paper itself

Abstract

Objective measurement of tremors is important for assessing the severity and preventing misdiagnosis of Parkinson's disease (PD). To address this demand, this study presents a multichannel, wireless, patch-type tremor monitoring system that integrates a high-repeatable fibrous crack-based strain (FCBS) sensor with a flexible wireless communication circuit. The FCBS sensor, incorporating crack structures, random fiber orientation, junction melting, and polymer penetration within a 3D conductive fiber network, achieves high sensitivity (gauge factor up to 476.89), a fast response time (≈ 6.64 ms), a wide working range (>200% strain), low Young's modulus (≈45 kPa), and excellent repeatability (>100 000 cycles). In addition, this study demonstrates the first clinical application of a flexible strain sensor-based tremor monitoring system in patients with PD and ET for simultaneous multilocation tremor measurement. Through clinical trials, our system measured tremor indicators (peak amplitude and fundamental frequency), and tremor indicators obtained from multilocation showed improved correlation and statistical significance with tremor scoring in UPDRS III under specific conditions. These results demonstrate the applicability and potential of the flexible strain sensor-based system as a wearable platform for quantitative and objective tremor measurement.

Indexed as

Essential TremorParkinson DiseaseTremorWireless TechnologyEquipment DesignHumansMonitoring, PhysiologicReproducibility of ResultsWearable Electronic Devicesessential tremorfibrous crack‐based strain sensorParkinson's diseasetremor monitoring system

Identifiers

PMID42543484
PMCPMC13429862

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.