ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
A Fully Self-Powered Wearable Leg Movement Sensing System for Human Health Monitoring.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Self-powered intelligence for personalized healthcare.National science review · 2026Review
- Seamless Human-Computer Interaction Enabled by Wearable Biointerfaces and Intelligent Systems.Biomimetics (Basel, Switzerland) · 2026Review
- AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advances in flexible wearable pressure/strain sensors for motion monitoring in orthopaedic sports medicine.Journal of orthopaedic translation · 2026Review
- A Novel Fabric Strain Sensor Array with Hybrid Deep Learning for Accurate Knee Movement Recognition.Micromachines · 2025Article
- Solution-Based 3D Printing of Thermoelectrics: Advances and Opportunities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Review
- Triboelectric Bending Sensors for AI-Enabled Sign Language Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing.Research (Washington, D.C.) · 2025Article
- Recent Advances in Self-Powered Wearable Flexible Sensors for Human Gaits Analysis.Nanomaterials (Basel, Switzerland) · 2024Review
- Multi-person dance tiered posture recognition with cross progressive multi-resolution representation integration.PloS one · 2024Article
- A Fully Self-Powered Wearable Leg Movement Sensing System for Human Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
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
Energy-autonomous wearable human activity monitoring is imperative for daily healthcare, benefiting from long-term sustainable uses. Herein, a fully self-powered wearable system, enabling real-time monitoring and assessments of human multimodal health parameters including knee joint movement, metabolic energy, locomotion speed, and skin temperature, which are fully self-powered by highly-efficient flexible thermoelectric generators (f-TEGs) is proposed and developed. The wearable system is composed of f-TEGs, fabric strain sensors, ultra-low-power edge computing, and Bluetooth. The f-TEGs worn on the leg not only harvest energy from body heat and supply power sustainably for the whole monitoring system, but also serve as zero-power motion sensors to detect limb movement and skin temperature. The fabric strain sensor made by printing PEDOT: PSS on pre-stretched nylon fiber-wrapped rubber band enables high-fidelity and ultralow-power measurements on highly-dynamic knee movements. Edge computing is elaborately designed to estimate multimodal health parameters including time-varying metabolic energy in real-time, which are wirelessly transmitted via Bluetooth. The whole monitoring system is operated automatically and intelligently, works sustainably in both static and dynamic states, and is fully self-powered by the f-TEGs.
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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.