ReviewSensors (Basel, Switzerland)2021
Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of BCI-based lower limb robots on lower limb function and cognition in stroke patients: a preliminary systematic review.Frontiers in human neuroscience · 2026Pooled it
- Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.Bioengineering (Basel, Switzerland) · 2026Article
- Advances in Wearable Technology: MXene-Based Multifunctional and Biomedical Smart Textiles.ACS omega · 2026Review
- P300 ERP System Utilizing Wireless Visual Stimulus Presentation Devices.Sensors (Basel, Switzerland) · 2025Article
- EEG Baseline Analysis for Effective Extraction of P300 Event-Related Potentials for Welfare Interfaces.Sensors (Basel, Switzerland) · 2025Article
- Hydrogel-Based Biointerfaces: Recent Advances, Challenges, and Future Directions in Human-Machine Integration.Gels (Basel, Switzerland) · 2025Review
- Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury.Frontiers in neuroscience · 2025Article
- Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.Frontiers in neuroscience · 2025Review
- Development of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study.Sensors (Basel, Switzerland) · 2024Observational
- Myoelectric-Based Estimation of Vertical Ground Reaction Force During Unconstrained Walking by a Stacked One-Dimensional Convolutional Long Short-Term Memory Model.Sensors (Basel, Switzerland) · 2024Article
- Unsupervised Domain Adaptation for Inter-Session Re-Calibration of Ultrasound-Based HMIs.Sensors (Basel, Switzerland) · 2024Article
- An Embedded Electromyogram Signal Acquisition Device.Sensors (Basel, Switzerland) · 2024Article
- EEG and EMG-based human-machine interface for navigation of mobility-related assistive wheelchair (MRA-W).Heliyon · 2024Article
- A scoping review of gaze and eye tracking-based control methods for assistive robotic arms.Frontiers in robotics and AI · 2024Article
- A smart approach to EMG envelope extraction and powerful denoising for human-machine interfaces.Scientific reports · 2023Article
- Simultaneous Estimation of Hand Configurations and Finger Joint Angles Using Forearm Ultrasound.IEEE transactions on medical robotics and bionics · 2023Article
- Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions.Sensors (Basel, Switzerland) · 2022Article
- Multimodal Finger Pulse Wave Sensing: Comparison of Forcecardiography and Photoplethysmography Sensors.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a definition, Human-Machine Interface (HMI) enables a person to interact with a device. Starting from elementary equipment, the recent development of novel techniques and unobtrusive devices for biosignals monitoring paved the way for a new class of HMIs, which take such biosignals as inputs to control various applications. The current survey aims to review the large literature of the last two decades regarding biosignal-based HMIs for assistance and rehabilitation to outline state-of-the-art and identify emerging technologies and potential future research trends. PubMed and other databases were surveyed by using specific keywords. The found studies were further screened in three levels (title, abstract, full-text), and eventually, 144 journal papers and 37 conference papers were included. Four macrocategories were considered to classify the different biosignals used for HMI control: biopotential, muscle mechanical motion, body motion, and their combinations (hybrid systems). The HMIs were also classified according to their target application by considering six categories: prosthetic control, robotic control, virtual reality control, gesture recognition, communication, and smart environment control. An ever-growing number of publications has been observed over the last years. Most of the studies (about 67%) pertain to the assistive field, while 20% relate to rehabilitation and 13% to assistance and rehabilitation. A moderate increase can be observed in studies focusing on robotic control, prosthetic control, and gesture recognition in the last decade. In contrast, studies on the other targets experienced only a small increase. Biopotentials are no longer the leading control signals, and the use of muscle mechanical motion signals has experienced a considerable rise, especially in prosthetic control. Hybrid technologies are promising, as they could lead to higher performances. However, they also increase HMIs' complexity, so their usefulness should be carefully evaluated for the specific application.
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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.