首页|Changi General Hospital Researcher Furthers Understanding of Machine Learning (A Novel Ear Impression-Taking Method Using Structured Light Imaging and Machine L earning: A Pilot Proof of Concept Study with Patients' Feedback on Prototype)
Changi General Hospital Researcher Furthers Understanding of Machine Learning (A Novel Ear Impression-Taking Method Using Structured Light Imaging and Machine L earning: A Pilot Proof of Concept Study with Patients' Feedback on Prototype)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on artificial in telligence. According to news reporting from Singapore, Singapore, by NewsRx jou rnalists, research stated, "Taking an ear impression is a minimally invasive pro cedure. A review of existing literature suggests that contactless methods of sca nning the ear have not been developed." Funders for this research include Cgh-sutd Health Technology Innovation Fund. The news correspondents obtained a quote from the research from Changi General H ospital: "We proposed to establish a correlation between external ear features w ith the ear canal and with this proof of concept to develop a prototype and an a lgorithm for capturing and predicting ear canal information. We developed a nove l prototype using structured light imaging to capture external images of the ear . Using a large database of existing ear impression images obtained by tradition al methods, correlation analyses were carried out and established. A deep neural network was devised to build a predictive algorithm. Patients undergoing hearin g aid evaluation undertook both methods of ear impression-taking. We evaluated t heir subjective feedback and determined if there was a close enough objective ma tch between the images obtained from the impression techniques. A prototype was developed and deployed for trial, and most participants were comfortable with th is novel method of ear impression-taking. Partial matching of the ear canal coul d be obtained from the images taken, and the predictive algorithm applied for a few sample images was within good standard of error with proof of concept establ ished."
Changi General HospitalSingaporeSing aporeAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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