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Smart Textile to Predict Diabetic Foot Ulcer
This invention is a movable, washable smart textile that can measure abnormalities in pressure and temperature when a patient walks on it. The textile can analyze the data and send alerts to the patient when abnormalities suggest the presence of diabetic foot ulcers (DFU) and/or the likelihood of falls or other injuries.
Background:
Demand for new...
Published: 4/3/2023
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Inventor(s): Bijan Najafi, David Armstrong, Manish Bharara
Keywords(s):
Category(s): Technology Classifications > Healthcare Portfolios > Wound Healing, Technology Classifications > Healthcare Portfolios > Diabetes, Metabolism, Endocrinology & Obesity, Technology Classifications > Healthcare Portfolios > Physical Medicine & Rehabilitation, Technology Classifications > Software & Information Technology > Health IT, Technology Classifications > Medical Devices > Diagnostic
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Smart Carpet: System and Methods to Automatically Recognize and Track Physical and Physiological Activities for Healthcare
This technology is a carpet with various sensors embedded within it to monitor and track a patient's movement. The carpet provides information regarding frailty, risk of falling, outcomes of rehabilitation, effects of plantar wound healing, and emergencies such as sudden falling due to heart attack.
Background:
The U.S. is expected to have more...
Published: 4/3/2023
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Inventor(s): Bijan Najafi, Hyoki Lee, He Zhou
Keywords(s):
Category(s): Technology Classifications > Healthcare Portfolios, Technology Classifications > Software & Information Technology > Health IT, Technology Classifications > Medical Devices > Diagnostic
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Motion Correction for PET and SPECT
This invention provides a device and method for correcting motion related artifacts. It does it by detecting motion of the object and using a corresponding algorithm to eliminate the artifact.
Background:
Motion artifacts are disruption in medical images caused by motion of the object being imaged. The elimination of motion artifacts is important...
Published: 4/3/2023
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Inventor(s): Phillip Kuo, Bijan Najafi, Matthew Kupinski
Keywords(s):
Category(s): Technology Classifications > Life Sciences > Diagnostics, Technology Classifications > Medical Devices > Diagnostic
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