ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2022
Toward Soft Wearable Strain Sensors for Muscle Activity Monitoring.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Systemic Integrative Mechanisms and Intervention Strategies in Exercise-Induced Skeletal Muscle Damage: Evidence from Animal, Clinical, and Multi-Omics Studies.International journal of molecular sciences · 2026Review
- Wearable Hybrid Strain-Myoelectric Sensing System for Machine-Learning-Assisted Sarcopenia Screening.Small science · 2026Article
- OpenMetabolics: Estimating energy expenditure using a smartphone worn in a pocket.Communications engineering · 2026Article
- Interdigitated capacitive strain sensor enables precise yoga-inspired motion tracking.Npj biosensing · 2026Article
- Wearable devices in neurological disorders: a narrative review of status quo and perspectives.Annals of translational medicine · 2025Review
- A Novel Wearable Device for Continuous Blood Pressure Monitoring Utilizing Strain Gauge Technology.Biosensors · 2025Article
- A Piezoresistive-Sensor Nonlinearity Correction on-Chip Method with Highly Robust Class-AB Driving Capability.Sensors (Basel, Switzerland) · 2024Article
- Estimation of joint torque in dynamic activities using wearable A-mode ultrasound.Nature communications · 2024Article
- Deep Learning Model Coupling Wearable Bioelectric and Mechanical Sensors for Refined Muscle Strength Assessment.Research (Washington, D.C.) · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The force-generating capacity of skeletal muscle is an important metric in the evaluation and diagnosis of musculoskeletal health. Measuring changes in muscle force exertion is essential for tracking the progress of athletes during training, for evaluating patients' recovery after muscle injury, and also for assisting the diagnosis of conditions such as muscular dystrophy, multiple sclerosis, or Parkinson's disease. Traditional hardware for strength evaluation requires technical training for operation, generates discrete time points for muscle assessment, and is implemented in controlled settings. The ability to continuously monitor muscle force without restricting the range of motion or adapting the exercise protocol to suit specific hardware would allow for a richer dataset that can help unlock critical features of muscle health and strength evaluation. In this paper, we employ wearable, ultra-sensitive soft strain sensors for tracking changes in muscle deformation during contractions. We demonstrate the sensors' sensitivity to isometric contractions, as well as the sensors' capacity to track changes in peak torque over the course of an isokinetic fatiguing protocol for the knee extensors. The wearable soft system was able to efficiently estimate peak joint torque reduction caused by muscle fatigue (mean NRMSE = 0.15±0.03 ).
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Registered trials
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