This $183,309 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop artificial touch sensations that feel natural and intuitive for users of bionic prosthetic limbs. The research project will explore novel biomimetic electrical stimulation algorithms to create sensory percepts that mimic the natural nerve signals in the skin, in order to enhance the functional performance and reduce the cognitive load of people using prosthetic arms. The...
This National Science Foundation (NSF) Project Grant under the Engineering program (CFDA 47.041) awarded $499,896 to the Georgia Tech Research Corporation to develop and optimize a communication platform for networking multiple wearable and implantable bioelectronic devices throughout the human body. The key goals are to enable real-time monitoring and treatment of critical conditions like wound healing, diabetes, and neurodegeneration by facilitating communication between wearable sensors and...
The National Science Foundation (NSF) awarded a three-year, $449,999 Project Grant under their Engineering program (CFDA 47.041) to the University of Cincinnati to develop an implantable biosensor platform that can continuously monitor various biomarkers in the body for over a year. The project aims to create a new class of long-lasting aptamer-based sensors protected by robust porous oxide coatings, which would enable the first practical implantable monitoring system for managing chronic...
This $300,000 EAGER project grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will conduct basic scientific research toward a new wearable technology that can capture images through human skin using advanced diffractive optical networks. The research team at the University of California, Los Angeles (UCLA) aims to develop a lightweight, cost-effective, and wearable computational imager and sensor system that can enable applications such as...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $212,026 to Elizabethtown College to develop novel biomimetic electrocutaneous stimulation algorithms that can restore a natural sense of touch for individuals with prosthetic limbs. The goal is to create intuitive and comfortable sensory feedback that enhances functional performance and reduces cognitive load during the use of bionic arms. The project aims to overcome limitations of...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $173,700 Project Grant (CFDA 93.286 - Discovery and Applied Research for Technological Innovations to Improve Human Health) to The Leland Stanford Junior University (Stanford University) to develop specifications for wearable haptic sensory prostheses. The key objectives are to: (1) exploit attributes from both cutaneous and deep tissue sensation to communicate intensity levels, and (2) use 3D printed soft...
The National Science Foundation (NSF) awarded a $649,810 Project Grant under its NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Carnegie Mellon University (CMU). The grant, with a term from February 15, 2024 to January 31, 2025, funds a convergence research project to develop flexible thin-film distributed strain sensor arrays for cochlear implants (CIs). The goal is to improve the safety and outcomes of minimally-invasive CI surgeries by enabling deformable medical...
This $800,000 National Science Foundation project grant will fund research at Florida Atlantic University to develop technology enabling disabled individuals to control advanced prosthetic devices. Specifically, the grant will support exploration of novel bimodal skin sensors, investigation of machine learning algorithms to classify user intent, and creation of a reinforcement learning paradigm for customized muscle training exercises. The goal is to empower those with upper limb deficiencies to...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $275,000 to Irradiant Sensing Corporation aims to develop a novel tactile sensing technology with applications in robotics and biomedical instruments. The project will create a high-resolution, high-force-sensitivity tactile sensor that can enable robots and robotic tools to safely and precisely interact with their environment, including soft biological tissues. This...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,976 to Ecate LLC aims to develop a novel intraspinal stimulator system to restore sensation and volitional motor control in spinal cord injury patients. The project will fabricate nanopatterned stimulating electrodes coupled with custom CMOS chips to deliver spatially selective electrical stimulation to the spinal cord. This closed-loop neural interface system is intended...
This $549,195 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a minimally invasive, wireless implantable optical tactile sensor device. The device is designed to measure skin forces and restore the sense of touch for individuals with paralysis resulting from stroke or spinal cord injury. The project aims to create an implantable sensor that can bypass damaged nerves and communicate with the brain, using photoplethysmography to indirectly infer tactile forces from changes in skin blood volume. The award will fund the refinement of the sensor's key components, including a low-power integrated circuit, wireless power and data links, and a hermetic packaging solution for long-term viability under the skin. The university will rigorously test the wireless functionality and hermeticity of the sensor prototypes in preclinical in vivo models. This project has the potential to significantly improve quality of life for patients with paralysis by restoring the sense of touch, while also advancing broader applications for minimally invasive physiological monitoring devices.