HippoScreen Neurotech Corp Add : 2F., No. 578, Ruiguang Rd., Neihu Dist Taipei City 114, Taiwan Email : [email protected] Website: https://www.hipposcreen-nc.com

According to a report by Alzheimer's Disease International (ADI), over 55 million people worldwide suffer from dementia, with 41 million of them yet to be diagnosed. By 2050, this number is expected to grow to 152 million, which means that one person will develop dementia every three seconds. The World Health Organization (WHO) states in its Global Action Plan on Dementia that dementia has become the 7th leading cause of death among all diseases worldwide. It is also a major cause of disability and dependency among older people globally. As societies age, elderly diseases have become an unavoidable...

Introduction Mild cognitive impairment (MCI) is considered a precursor to Alzheimer's disease and is a high-risk factor. Clinically, 15-20% of patients with MCI develop dementia each year. Therefore, early detection is the best method to prevent the situation from worsening. The BDR Brain Degeneration Risk Assessment System includes an electroencephalogram (EEG) device for brainwave signal processing, a user interface for process control, and AI algorithms for cloud analysis. By capturing and analyzing two minutes of brainwave data in a relaxed state, it aims to provide objective and quantifiable...

Clinical Indicator The Two Indicators: Normal Aging and Mild Degeneration Normal Aging? When the elderly experience signs of cognitive decline like forgetfulness or personality changes, the BDR test help determine whether it is normal aging Normal Aging Probability Mild Degeneration Probability MCI Monitoring Once identified as MCI, monitor status for timely medical intervention. Early detection of dementia risks enables early intervention, which could delay or even curb dementia.

Note: portable version without the cart station is also available for mobili

System Structure Brainwave Database Subject Cloud Assessment Report EEG Amplifier GUI Access report remotely The brainwave signals of the test subjects are collected with the EEG cap. The EEG amplifier suppresses noise and amplifies the brainwave signals, which are then converted from analog to digital and transmitted to the user interface. The user interface provides a friendly and intuitive operation for the detection process. Data analysis is performed using AI algorithms deployed in the cloud. The generated assessment report is sent back to the user interface and simultaneously stored in...

Fill in basic info/ PHQ9 Stare at the screen for 2 mins The testing process is quite simple. From the initial preparation to generating the assessment report, it takes about 15-20 minutes. First, the operator will help the subject wear the EEG cap and fill out basic information. Then, the operator will inject conductive gel into the eight electrodes to fill the gaps between the electrodes and the scalp surface, ensuring good signal quality for the EEG data. After the preparation is complete, the subject only needs to sit and relax while staring at a black cross on the screen for 2 minutes. By...

Practical Application Brainwave detection is susceptible to interference and therefore needs to be conducted in an isolated room. During the process of capturing 2 minutes of brainwave signals, it is important to avoid sudden loud noises or flashing lights to prevent any impact on the final analysis results.

Assessment Report Mild Cognitive Decline rProbability of Normal Aging j is less than 50% or not displayed, and r Probability of Mild Cognitive Decline j is greater than 50%. r Probability of Normal Aging j is less than 50% or not displayed, and "Probability of Mild Cognitive Decline j is less than 50%. Mild cognitive decline is suspected. Recommend maintaining a healthy lifestyle, engaging in cognitive stimulation, and seeking professional support if needed. Basic info records subject's REF#. Sex. age., and date of testing PSD plots out power by frequency. Gray area is the normal aging data in...

HippoScreen’s BDR Brain Degeneration Risk Assessment System was officially registered with the FDA in April 2023, making it the first regulatory status in the U.S. for cognitive function assessment support. The BDR system utilizes an AI model built on EEG data from patients with Mild Cognitive Impairment (MCI) and dementia, providing an objective, quantitative, and rapid risk assessment tool for brain function decline. This system aids in the early detection and monitoring of MCI, enhancing proactive cognitive health management.

•» Publications Article 1 Graduate Institute of Mechatronic Engineering, National Taip>ei University of Technology, 2 Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; [email protected] 3 Faculty of Medicine, National Vang Ming Chiao Tung University, Taipei 11221, Taiwan 4 International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo 113-0033, Japan; [email protected] 5 Graduate Institute of Manufacturing Technology, National Taipei University of Technology,...

Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs ’ Neural Engneemg and Smart Systems Laboratory. Gra&ate Institute of ManJactumg Technology. CoSege of PAechancal and EJectncal Engneemg National Taip& Unversty of Technology (Tapet Tech). Tape. Taiwan. > Department of Psychatry. DMsron of Genatnc Psychairy Tape Veterans General Hospital. Tape*. Taiwan 1 Facr/ty of Medkxne. National Yang King Chao Tung Unversrty. Tape*. Taiwan. 1 Noral Engneenng and Smart Systems Laboratory. Graduate Institute of Mechatronc Engneemg....

EEG-Based Classification Between Individuals with Mild Cognitive Impairment and Healthy Controls Using Conformal Kernel-Based Fuzzy Support Vector Machine Yu-Tsung Hsiao1 • Chien-Te Wu2 • Chiu-Fcn Tsai5'4 • Yi-Hung Liu5©' Thanh- l ung Trinh* • Chun-Ying Lee7 Collaboration with Dr. Tsai (Department of Psychiatry, Taipei Veterans General Hospital) and Prof. Wu (International Research Center for Neurointelligence, The University of Tokyo Institutes Advanced Study) on mild cognitive impairment(MCI). The experiment result achieved classification accuracy 84.31% with LDA and 90.19%(sensitivity = 87.5%...