HippoScreen Neurotech Corp.

HippoScreen Neurotech Corp. is a Taiwanese company established in March 2019, originating from a research team led by Professor Yi-Hung Liu at National Yang Ming Chiao Tung University, with a direct investment from Compal Electronics. The firm focuses on the intersection of electroencephalogram (EEG) signal processing and artificial intelligence to create medical services for brainwave-assisted diagnosis and assessment.

The company's business model centers on developing and marketing hardware and software for mental and neurological health screening. Its proprietary 8-channel EEG amplifier received FDA 510(k) clearance in late 2020 and TFDA approval in March 2021, making HippoScreen the first manufacturer of a medical-grade EEG amplifier in Taiwan. The company also holds ISO 13485 certification for medical device quality management. Revenue is generated through the sale of these devices and associated software to healthcare providers. Initially targeting medical professionals, the company plans to expand into corporate Employee Assistance Programs (EAP) and broader mental health screening markets.

HippoScreen has developed two primary products. The first is the Stress EEG Assessment (SEA) System, designed to assist in the diagnosis of depression. This system uses a 90-second EEG recording to generate a quantifiable score indicating the probability of depression, aiming to provide an objective measure to supplement subjective patient assessments. The SEA system, which received a software medical device license from the TFDA in October 2023, was developed using clinical data from three major hospitals in Taiwan. The second product is the Brain Degeneration Risk (BDR) Assessment System, which is currently undergoing clinical trials. This tool aims for early detection of Mild Cognitive Impairment (MCI) by analyzing a 2-minute brainwave signal to provide a risk assessment, with the goal of facilitating early intervention for conditions like dementia.

Keywords: EEG diagnostics, neurotechnology, artificial intelligence in healthcare, mental health assessment, depression detection, mild cognitive impairment, medical device, brainwave analysis, digital health, neuro-diagnostics, stress assessment, brain health, SaMD, Software as a Medical Device, clinical decision support, health screening, EEG amplifier, cognitive health, neurology, psychiatric diagnostics