ReviewFrontiers in neuroscience2021
Adaptive Extreme Edge Computing for Wearable Devices.
Review in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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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
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Array of Cointegrated Transistor-Based Artificial Neurons and Synapses for Neuromorphic Computing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Stateful Logic Using Selector-Only-Memory With Tunable Operation Directionality.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Mechanically Durable Intrinsically Stretchable Neuromorphic Devices via Molecular Microstructure Design.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Self-powered intelligence for personalized healthcare.National science review · 2026Review
- Adaptive ensemble sizing with reinforcement learning for real-time ankle injury detection in wearable sensor systems.BMC sports science, medicine & rehabilitation · 2026Article
- Multimodal In-Sensor Computing with Dual-Phase Organic Synapses for Wearable Fitness Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Exploiting a centrally powered coherent microcomb for lightweight optical transmission.Nature communications · 2025Article
- Exploring digital health: a qualitative study on adults' experiences with health apps and wearables.International journal of qualitative studies on health and well-being · 2025Article
- Can neuromorphic computing help reduce AI's high energy cost?Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- [Prospects and technical challenges of non-invasive brain-computer interfaces in manned space missions].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development.Sensors (Basel, Switzerland) · 2025Review
- Exploring Bio-Impedance Sensing for Intelligent Wearable Devices.Bioengineering (Basel, Switzerland) · 2025Article
- Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.Scientific reports · 2025Article
- Toward an AI Era: Advances in Electronic Skins.Chemical reviews · 2024Review
- Single-trial detection of auditory cues from the rat brain using memristors.Science advances · 2024Article
- Sodium-Controlled Interfacial Resistive Switching in Thin Film Niobium Oxide for Neuromorphic Applications.Chemistry of materials : a publication of the American Chemical Society · 2024Article
- A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways.Nature communications · 2024Article
- Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems.Sensors (Basel, Switzerland) · 2024Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power consumption, processing speed, and system adaptation are vital in future smart wearable devices. The visioning and forecasting of how to bring computation to the edge in smart sensors have already begun, with an aspiration to provide adaptive extreme edge computing. Here, we provide a holistic view of hardware and theoretical solutions toward smart wearable devices that can provide guidance to research in this pervasive computing era. We propose various solutions for biologically plausible models for continual learning in neuromorphic computing technologies for wearable sensors. To envision this concept, we provide a systematic outline in which prospective low power and low latency scenarios of wearable sensors in neuromorphic platforms are expected. We successively describe vital potential landscapes of neuromorphic processors exploiting complementary metal-oxide semiconductors (CMOS) and emerging memory technologies (e.g., memristive devices). Furthermore, we evaluate the requirements for edge computing within wearable devices in terms of footprint, power consumption, latency, and data size. We additionally investigate the challenges beyond neuromorphic computing hardware, algorithms and devices that could impede enhancement of adaptive edge computing in smart wearable devices.
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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.