About Company
Ideabus Technology Co., Ltd. focuses on the prevention and delay of dementia progression, building a comprehensive dementia care solution centered on AI technology. Our approach covers the full continuum from early risk prediction and proactive alerts to precision training interventions.
By integrating IoT and motion-sensing devices, we collect cognitive interaction and physical activity data from older adults. These data are analyzed using AI models to detect subtle changes, enabling the identification of dementia risk trends even before clear clinical symptoms appear, thereby supporting early detection and early intervention.
To date, our solution has been implemented in more than 20 hospitals and over 200 long-term care facilities, accumulating stable clinical and service validation results across real-world care settings.
Product Name
LTPA Dementia AI Prediction & Rahab
Product Info
LTPA Dementia AI Prediction & Rehab is built on the principle of brain plasticity, integrating interactive cognitive training devices, motion-sensing technology, and an AI-driven data analytics platform. Through a “Cognition × Movement” integrated training model, the system collects multi-dimensional data during training sessions, including reaction time, operational behavior, movement performance, and attention levels. These data are used to establish a long-term behavioral database and risk trend analysis models. Training data are recorded in real time through IoT-enabled devices and analyzed using AI algorithms, enabling professionals to monitor changes in cognitive and physical functions and provide more precise training recommendations and health management insights.
The program adopts a “Brain Activity, Interaction, and Physical Exercise” training framework, digitalizing occupational therapists’ non-pharmacological intervention approaches. Through interactive and gamified training, it enhances user engagement and training continuity while allowing difficulty levels to be adjusted and personalized according to individual abilities. The system can be applied in home-based health promotion settings, enabling older adults to continuously engage in cognitive and physical activities within a safe and familiar environment. By accumulating behavioral data from daily training interactions, the platform establishes a home-based cognitive monitoring mechanism, helping family members and professionals detect potential cognitive decline risks at an early stage:
1.AI Behavioral Data Analytics: Long-term training behavior data are analyzed using IoT and AI algorithms to establish trend models for cognitive and motor function changes.
2.Home-Based Cognitive Monitoring: Continuous behavioral data collected through daily training supports an ongoing home-based cognitive monitoring system.
3.Early Screening and Risk Alerts: AI analyzes long-term data trends to identify potential dementia risks and provide early warnings before noticeable symptoms appear, enabling timely intervention.
Get in touch directly with us.
+886-2-7756-1768
6F., No. 26, Sec. 3, Nanjing E. Rd., Zhongshan Dist., Taipei City 104103 , Taiwan