ArticleMicromachines2019
Wireless, Skin-Mountable EMG Sensor for Human-Machine Interface Application.
Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities.Sensors (Basel, Switzerland) · 2025Review
- Context-informed incremental learning improves both the performance and resilience of myoelectric control.Journal of neuroengineering and rehabilitation · 2024Article
- Robotics Perception and Control: Key Technologies and Applications.Micromachines · 2024Review
- Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks.Micromachines · 2022Article
- Measuring Biosignals with Single Circuit Boards.Bioengineering (Basel, Switzerland) · 2022Review
- End-to-end design of wearable sensors.Nature reviews. Materials · 2022Review
- Sensors for Context-Aware Smart Healthcare: A Security Perspective.Sensors (Basel, Switzerland) · 2021Review
- Monitoring Lower Back Activity in Daily Life Using Small Unintrusive Sensors and Wearable Electronics in the Context of Rheumatic and Musculoskeletal Diseases.Sensors (Basel, Switzerland) · 2021Article
- Review of Wearable Devices and Data Collection Considerations for Connected Health.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The development of advanced technologies for wireless data collection and the analysis of quantitative data, with application to a human-machine interface (HMI), is of growing interest. In particular, various wearable devices related to HMIs are being developed. These devices require a customization process that considers the physical characteristics of each individual, such as mounting positions of electrodes, muscle masses, and so forth. Here, the authors report device and calculation concepts for flexible platforms that can measure electrical signals changed through electromyography (EMG). This soft, flexible, and lightweight EMG sensor can be attached to curved surfaces such as the forearm, biceps, back, legs, etc., and optimized biosignals can be obtained continuously through post-processing. In addition to the measurement of EMG signals, the application of the HMI has stable performance and high accuracy of more than 95%, as confirmed by 50 trials per case. The result of this study shows the possibility of application to various fields such as entertainment, the military, robotics, and healthcare in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.