Core Viewpoint - The article discusses the development of a wireless, battery-free, ultrathin intracranial pressure (ICP) sensor system that integrates piezoelectric thin film resonators with wireless inductive coupling, addressing the limitations of current monitoring systems in clinical settings [2][12]. Group 1: Challenges in Current Monitoring Systems - Current clinical monitoring systems rely on rigid sensors or catheters connected via transcranial leads, which pose high infection risks, limit patient mobility, and are uncomfortable for long-term use [1]. - Despite advancements in flexible electronics and wireless sensing technologies, many devices still depend on rigid wireless modules or batteries, making it difficult to achieve true flexible conformal attachment to soft tissues, especially for implantable applications [1]. Group 2: Innovations in Sensor Technology - The research team from Fudan University has developed a wireless, ultrathin ICP sensor system using a 3-micron thick lithium niobate thin film (LNTF) that can seamlessly integrate with human soft tissues without the need for batteries [2]. - The sensor operates based on changes in resonant frequency due to mechanical deformation, allowing for high-sensitivity, real-time monitoring of various physiological signals [2][6]. Group 3: Performance and Capabilities - The resonator's intrinsic frequency is measured at 58.163 MHz with a quality factor (Q) of approximately 300, providing a foundation for high-sensitivity sensing [7]. - The device can detect strain as low as 0.03% with a sensitivity of 56.9 Hz/με, demonstrating excellent repeatability and stability under dynamic and cyclic strain loading [7]. - The pressure sensor can measure pressures as low as 0.15 mmHg with a sensitivity of 0.223 kHz/mmHg, covering a wide range of 0-240 mmHg, which meets clinical ICP monitoring requirements [9]. Group 4: Validation and Clinical Application - Successful implantation in a rat model demonstrated the device's ability to accurately respond to acute ICP changes and track cerebrospinal fluid volume variations, confirming its capability to capture clinically relevant physiological signals [12]. - The device has shown functional stability and biocompatibility in long-term implantation environments, indicating its potential for continuous monitoring of various physiological signals and disease-related internal pressures [12].