Predictive analytics &amp; modeling for modern health care system for cerebral palsy patients

Singh, D. Narendhar; Hashmi, Mohammad Farukh; Sharma, Sudhir Kumar

doi:10.1007/s11042-019-07834-4

Cited by 1 publication

(2 citation statements)

References 21 publications

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“…Neurological disorders [2,3] are diseases of the nervous system, which comprises the brain, spinal cord, and nerves. It is a highly complex system that coordinates all our actions and sensory information by transmitting signals through nerves to different parts of the body.…”

Section: Introductionmentioning

confidence: 99%

“…This paper makes three contributions: (1) We develop novel benchmark datasets for detecting Bell's Palsy and blinks. (2) We create a novel eye-focused feature named blink similarity for videos through a hybrid approach. (3) We show that a Bell's Palsy diagnosis system can be build while incorporating privacy concerns by just focusing on the eyes.…”

Section: Introductionmentioning

confidence: 99%

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Eye-focused Detection of Bell’s Palsy in Videos

Ansari

Jerripothula

Nagpal³

et al. 2021

Proceedings of the Canadian Conference on Artificial Intelligence

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In this paper, we present how Bell's Palsy, a neurological disorder, can be detected just from a subject's eyes in a video. We notice that Bell's Palsy patients often struggle to blink their eyes on the affected side. As a result, we can observe a clear contrast between the blinking patterns of the two eyes. Although previous works did utilize images/videos to detect this disorder, none have explicitly focused on the eyes. Most of them require the entire face. One obvious advantage of having an eye-focused detection system is that subjects' anonymity is not at risk. Also, our AI decisions are based on simple blinking patterns, making them explainable and straightforward. Specifically, we develop a novel feature called blink similarity, which measures the similarity between the two blinking patterns. Our extensive experiments demonstrate that the proposed feature is quite robust, for it helps in Bell's Palsy detection even with very few labels. Our proposed eye-focused detection system is not only cheaper but also more convenient than several existing methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%