Trial reportSensors (Basel, Switzerland)2019
Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals.
Trial report 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 8 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
8 citing papers in PubMed, 33 citations in OpenAlex.
- Preliminary Study on Wearable Smart Socks with Hydrogel Electrodes for Surface Electromyography-Based Muscle Activity Assessment.Sensors (Basel, Switzerland) · 2025Article
- Longitudinal analysis of lower limb muscle activity and ankle tendon biosignals using structural equation modeling.European journal of translational myology · 2024Article
- Novel Muscle Sensing by Radiomyography (RMG) and Its Application to Hand Gesture Recognition.IEEE sensors journal · 2023Article
- A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies.Micromachines · 2022Review
- Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges.Sensors (Basel, Switzerland) · 2022Review
- A review of wearable and unobtrusive sensing technologies for chronic disease management.Computers in biology and medicine · 2021Review
- Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications.Sensors (Basel, Switzerland) · 2020Review
- An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle activity. Garment-type EMG measurement systems use electrodes and they enable us to monitor muscle activity in daily life without any specific knowledge and the installation for electrode placement. However, garment-type measurement systems require a high compression area around the electrodes to prevent electrode displacement. This makes it difficult for users to wear such measurement systems. A less restraining wearable system, wherein the electrodes are placed around the ankle, is realized for target muscles widely distributed around the shank. The signals obtained from around the ankle are propagated biosignals from several muscles, and are referred to as
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.