Technological advancements that allow health care providers to remotely monitor and treat patients was the focus of a computer science seminar hosted by the Fred DeMatteis School of Engineering and Applied Science.
Dr. Miad Faesipour, Ph.D, associate professor in the computer science and engineering and biomedical engineering departments at the University of Bridgeport and the director of the Digital/Biomedical Embedded Systems and Technology (D-BEST) Lab, discussed her research using signal/image processing, machine learning, and embedded software/hardware to remotely monitor and treat conditions such as cardiac arrhythmia, bed ulcers, skin lesions and glaucoma.
“These approaches achieved classification accuracies greater than 97%, making them highly efficient for deployment in conjunction with traditional medical training, diagnosis and treatment,” Dr. Faesipour said.
One application involved using a digital embedded system installed under a bed or wheel chair to increase the efficiency of patient repositioning schedules and reduce the incidence of pressure ulcers. The patient’s posture was identified and classified through a whole-body pressure distribution map that analyzed pressure images and proposed an efficient turning schedule.
Computer science major Thomas Mulvey ’21 attended the presentation.
“It was very interesting to see how information I’ve learned in my freshman courses can be applied in the real world to create life changing applications,” Mulvey said.
Dr. Faesipour also discussed her research helping lung cancer patients regulate their breathing in a virtual environment using 3-D computer animations and human-computer interactions from respiratory sounds.