Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey
This review presents technical advances and recent progress enabled by shape reconstruction of continuum robots through the utilization of ﬁber Bragg gratings (FBG) sensing, electromagnetic (EM) tracking and intraoperative imaging. Despite the significant progress, a general solution remains to be developed to accurately and robustly reconstruct different shapes of continuum robots and achieve seamless integration into the current clinical workflows.
High Quality See-Through Surgical Guidance System Using Enhanced 3D Autostereoscopic Augmented Reality
We propose a high quality real 3D see-through surgical guidance system for precise and minimal invasive surgery. The system provides a novel approach to assist precise and safe clinical microsurgeries with intuitive and reliable diagnosis images.
A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries
This study presents a brain-computer interface (BCI)-based environmental control system that integrates household electrical appliances, a nursing bed and an intelligent wheelchair to assist severely paralyzed people with spinal cord injuries (SCIs) and improve their self-care abilities. Synchronous and asynchronous control modes employed in different situations provide more natural and practical control.
A Review of In-Body Biotelemetry Devices: Implantables, Ingestibles, and Injectables
A holistic and comparative review is conducted that focuses on three types of in-body devices used to realize many and different sensing and/or stimulating functionalities: implantable, ingestible, and injectable. Design considerations, current status and future directions related to the aforementioned devices are discussed. As technology continues to evolve, several new and hitherto unexplored opportunities are brought forward for in-body devices, promising a shift from today’s symptom-based medicine to a proactive healthcare model.
Passive BCI in Operational Environments: Insights, Recent Advances and Future Trends
Technologies able to measure even online the user’s mental states (i.e. passive Brain-Computer Interfaces (pBCI)) would result very useful in “high risk” environments to enhance human-machine interaction. This mini-review aims to highlight key aspects and recent findings to be considered and evaluated when pBCI systems would be developed and used in operational environments, and remarks future directions of their applications.
Automated Compression Device for Viscoelasticity Imaging
Non-invasive measurement of tissue viscoelastic properties is gaining more attention for screening and diagnostic purposes. Recently, measuring dynamic response of tissue under a constant force has been studied for estimation of tissue viscoelastic properties in terms of retardation times.