Available Technologies
# of Displayed Technologies: 6 / 6
Applied Category Filter (Click To Remove): Medical Devices
Optimizing Magnetic Resonance Imaging (MRI) protocols
TS-062328 — The Need
Medical imaging plays a crucial role in modern healthcare, aiding in the accurate diagnosis and treatment of various diseases. Magnetic Resonance Imaging (MRI) is a widely used non-invasive imaging modality that offers significant advantages over other techniques due to its lack of ionizin…
- College: College of Arts & Sciences
- Inventors: Wang, Jinghua; He, Lili; Lu, Zhong-Lin; Parikh, Nehal
- Licensing Officer: Dahlman, Jason "Jay"
Assessment of Sensory Memory Functions
TS-062313 — The Need
In the field of human information processing, the accurate assessment of iconic memory decay function is crucial for understanding memory-related disorders such as Alzheimer's disease. Conventional testing methods, like the method of constant stimuli (MCS), are time-consuming, requirin…
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin; Baek, Jongsoo; Lesmes, Luis
- Licensing Officer: Dahlman, Jason "Jay"
Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
A primary complaint of hearing-impaired (HI) listeners is poor speech recognition in background noise. This issue can be quite debilitating and persists despite considerable efforts to improve hearing technology. Despite considerable effort, monaural (single-microphone) algorithms capable of incre…
- College: College of Arts & Sciences
- Inventors: Healy, Eric; Vasko, Jordan
- Licensing Officer: Dahlman, Jason "Jay"
Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-038074 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
Wireless carriers receive daily complaints about poor speech recognition in background noise during calls and are constantly looking for methods to improve especially in light of recent forays into VOIP. The ability to discriminate between speech and noise in an audio signal then is an extremely i…
- College: College of Arts & Sciences
- Inventors: Healy, Eric; Vasko, Jordan
- Licensing Officer: Dahlman, Jason "Jay"
In Canopy Crop Health Sensing Technology
TS-036526 — A remote sensing imaging system that combines a suspended camera with sampling probes, combined with unique image processing features.
The Need
In modern agriculture, early detection and intervention are crucial to maximizing crop yield and minimizing losses. Traditional methods of crop health monitoring, relying on human scouts positioned at field borders, are limited and often lead to subjective decisions and delayed detection o…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Shearer, Scott; Klopfenstein, Andrew "Andrew"; See, David; Weigman, Christopher
- Licensing Officer: Dahlman, Jason "Jay"
Multi-carrier processing in auditory prosthetic devices
TS-014871 — Encoding strategy for improvement of speech understanding in a noisy environment for audiotory prosthetic devices.
There are about 275 million adults globally with moderate to severe hearing loss and 360 million adults with mild hearing loss. The current solutions to allow these people to hear better include hearing aids, hearing loss counseling, cochlear implants, alerting devices, and other communication aid…
- College: College of Arts & Sciences
- Inventors: Apoux, Frederic; Healy, Eric
- Licensing Officer: Dahlman, Jason "Jay"
