Soft, Stretchable, High-Sensitivity, Multi-Walled Carbon Nanotube-Based Strain Sensor for Joint Healthcare.

Zechen Guo, Xiaohe Hu, Yaqiong Chen, Yanwei Ma, Fuqun Zhao, Sheng Guo

Abstract read

In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Sustainable Carbon Aerogels from Polyolefin Plastics for High-Linearity Bidirectional Strain Sensing.Nano-micro letters · 2026
Article
Optimization Process of PCL/TPU@MWCNTs Fiber Composites for Flexible Piezoresistive Sensors and Application in Hand Movements Perception.ACS omega · 2025
Article

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

6 authors.

Zechen GuoSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Xiaohe HuSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Yaqiong ChenSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Yanwei MaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Fuqun ZhaoSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0003-1419-0522

Sheng GuoSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Funding

Beijing Natural Science Foundation 3242012Fundamental Research Funds for the Central Universities 2023JBMC019National Natural Science Foundation of China 50305035National Natural Science Foundation of China 52275004

6 · The paper itself

Abstract

Exoskeletons play a crucial role in joint healthcare by providing targeted support and rehabilitation for individuals with musculoskeletal diseases. As an assistive device, the accurate monitoring of the user's joint signals and exoskeleton status using wearable sensors is essential to ensure the efficiency of conducting complex tasks in various scenarios. However, balancing sensitivity and stretchability in wearable devices for exoskeleton applications remains a significant challenge. Here, we introduce a wearable strain sensor for detecting finger and knee joint motions. The sensor utilizes a stretchable elastic conductive network, incorporating multi-walled carbon nanotubes (MWCNTs) into Ecoflex. The concentration of MWCNTs has been meticulously optimized to achieve both a high gauge factor (GF) and stability. With its high sensitivity, the sensor is enabled to be applied in the angle monitoring of finger joints. By integrating the sensor with human knee joints and an exoskeleton device, it can simultaneously detect the flexion and extension movements in real-time. This sensor holds significant potential for enhancing exoskeleton performance and improving joint healthcare technologies.

Indexed as

exoskeletonhealthcareMWCNTssoft electronicsstrain sensors

Identifiers

PMID40072135

DOI10.3390/nano15050332

PMCPMC11901835

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.