Projects

研究與開發專案

這裡整理實驗室進行中的核心研究方向,從訊號擷取、演算法設計到臨床轉譯與系統整合。

Scope Research, prototyping, validation

Each project links a signal problem to a practical application.

Methods Machine learning, DSP, neurotechnology

We combine quantitative analysis with domain expertise.

Project 01

Brain-Computer Interface Decoding

Develop robust decoding pipelines for motor imagery and cognitive state estimation.

BCI
  • EEG preprocessing and artifact suppression
  • Low-latency inference pipeline
  • Real-time feedback interface
Project 02

Wearable Biosignal Analytics

Design portable sensing workflows for daily health monitoring and activity understanding.

Wearable
  • Signal quality assessment
  • Motion-aware filtering
  • Longitudinal data analysis
Project 03

Neurorehabilitation Support System

Build adaptive feedback tools to assist therapy planning and patient engagement.

Clinical
  • Task-specific response models
  • Session tracking dashboard
  • Clinician-friendly reporting
Project 04

Multimodal Signal Fusion

Integrate physiological and contextual signals to improve predictive performance.

Fusion
  • Feature alignment across modalities
  • Cross-subject generalization
  • Interpretability analysis