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With the rapid advancement of neuroscience and medical technology, non-invasive deep brain electrical stimulators have emerged as one of the most promising therapeutic tools for neurological disorders. However, current market-available devices exhibit significant shortcomings in user experience, aesthetic design, and human-machine interaction. This study proposes a context theory-based design methodology to enhance product usability, comfort, and personalization through contextualized design solutions. As a widely adopted design theory framework, Context Awareness Theory emphasizes comprehensive consideration of users’ physical environments, emotional states, and socio-cultural backgrounds. Applied to stimulator design, this approach enables designers to achieve optimal alignment between product features, user requirements, and environmental contexts. Through literature review and market analysis, we identify three core limitations in existing products: suboptimal user experience, operational complexity, and unattractive product aesthetics. We establish a context-driven design framework addressing demand variability across usage scenarios. For rehabilitation hospital settings, the modular design allows flexible configuration based on postoperative needs, while hospital ward environments prioritize treatment feedback visualization through intelligent interfaces. Key innovations include: 1. Modular architecture with enhanced adaptability 2. Lightweight biocompatible materials reducing maintenance costs 3. Simplified AI-powered interface with adaptive parameter adjustment 4. Mobile integration enabling real-time treatment monitoring. The proposed solution demonstrates significant cross-scenario applicability. For therapists, precision control modules ensure treatment accuracy; for patients, ergonomic design and personalized programs optimize comfort; for physicians, data visualization interfaces enhance clinical decision-making. The integration of AI technology enables automatic identification of individual differences and dynamic parameter optimization, achieving true personalization of treatment protocols. This research provides innovative design paradigms for non-invasive neuromodulation devices while offering valuable references for broader medical equipment design. Future studies should focus on intelligent material applications and multi-modal interaction systems. As user demands diversify, context theory will play an increasingly crucial role in medical device innovation, driving the development of more human-centered healthcare solutions.

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Research on Product Design of Non-invasive Deep Brain Electrical Stimulator Based on Context Theory

  • 会议论文

  • 发表日期：

    2025年

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  • Rui Wang,
  • Zhanyan Zhou,
  • Zhi Wang,
  • Li Wan,
  • Feijie Xia,
  • Chenjun Song,
  • Junyi Wang,
  • Jiamin Wang,
  • Tu Xiong

摘要

With the rapid advancement of neuroscience and medical technology, non-invasive deep brain electrical stimulators have emerged as one of the most promising therapeutic tools for neurological disorders. However, current market-available devices exhibit significant shortcomings in user experience, aesthetic design, and human-machine interaction. This study proposes a context theory-based design methodology to enhance product usability, comfort, and personalization through contextualized design solutions. As a widely adopted design theory framework, Context Awareness Theory emphasizes comprehensive consideration of users’ physical environments, emotional states, and socio-cultural backgrounds. Applied to stimulator design, this approach enables designers to achieve optimal alignment between product features, user requirements, and environmental contexts. Through literature review and market analysis, we identify three core limitations in existing products: suboptimal user experience, operational complexity, and unattractive product aesthetics. We establish a context-driven design framework addressing demand variability across usage scenarios. For rehabilitation hospital settings, the modular design allows flexible configuration based on postoperative needs, while hospital ward environments prioritize treatment feedback visualization through intelligent interfaces. Key innovations include: 1. Modular architecture with enhanced adaptability 2. Lightweight biocompatible materials reducing maintenance costs 3. Simplified AI-powered interface with adaptive parameter adjustment 4. Mobile integration enabling real-time treatment monitoring. The proposed solution demonstrates significant cross-scenario applicability. For therapists, precision control modules ensure treatment accuracy; for patients, ergonomic design and personalized programs optimize comfort; for physicians, data visualization interfaces enhance clinical decision-making. The integration of AI technology enables automatic identification of individual differences and dynamic parameter optimization, achieving true personalization of treatment protocols. This research provides innovative design paradigms for non-invasive neuromodulation devices while offering valuable references for broader medical equipment design. Future studies should focus on intelligent material applications and multi-modal interaction systems. As user demands diversify, context theory will play an increasingly crucial role in medical device innovation, driving the development of more human-centered healthcare solutions.