The development of skills and abilities in laparoscopy is directly related to the use of trainers. The trainer should model the patient with all its natural complexities as closely as possible. In this article we prop...The development of skills and abilities in laparoscopy is directly related to the use of trainers. The trainer should model the patient with all its natural complexities as closely as possible. In this article we propose a system for training the establishment of pneumoperitoneum executing the basic tasks to create the workspace in the trainer, the insertion of primary umbilical trocar and simulate some of the everyday problems in surgery. Materials and Methods. A group of electrical with biomedical engineers and laparoscopic surgeons developed a physical trainer that allows implementing the pneumoperitoneum. The system uses pneumatic electro valves that are controlled with a dedicated microprocessor. The user can program the system to set the parameters of the pneumoperitoneum. Results. This new trainer facilitated the programming of right values of parameters to distend the abdominal cavity according a specific clinical case. The model developed enables the trainee to consolidate his knowledge on establishing the parameters required within clinical practice, as well as the entry techniques. Conclusions. A new physical model for laparoscopic training was designed. The system enables the laparoscopic surgeon to set the parameters for establishing the workspace according to the clinical case. The trainer allows the surgeon to train in the Hasson technique for the introduction of the first trocar, as well as the placement of the rest of surgical instruments with video assistance. We think this new trainer system will help minimize entry-related injuries.展开更多
Accurate detection of physiological vibrations is vital for monitoring health and enabling sensory feedback in bioelectronics.Current technologies often suffer from low signal-to-noise ratios(SNR),bulkiness,and the ne...Accurate detection of physiological vibrations is vital for monitoring health and enabling sensory feedback in bioelectronics.Current technologies often suffer from low signal-to-noise ratios(SNR),bulkiness,and the need for external amplification.Here,we introduce piezoelectric internal ion-gated organic electrochemical transistors(Piezo-IGTs),which efficiently convert mechanical vibrations into amplified electrical signals.These devices integrate laminated P(VDF-TrFE)microfiber films as the gate atop the transistor channel,generating voltage upon deformation to modulate mobile ions in the conducting polymer.Fabricated via sequential deposition and lamination,Piezo-IGTs achieve high fill factors and efficient on-site amplification,improving SNR over standalone piezoelectric films.They operate near 0 V gate voltage,enabling low-power performance.We validate their functionality in mechanomyography,speech recognition,and mechanocardiography using microscale Piezo-IGTs.This self-contained,flexible architecture demonstrates promise for integration into implantable and wearable systems,offering real-time,high-fidelity acquisition of bio-mechanical signals in nextgeneration health monitoring and neuroprosthetic applications.展开更多
文摘The development of skills and abilities in laparoscopy is directly related to the use of trainers. The trainer should model the patient with all its natural complexities as closely as possible. In this article we propose a system for training the establishment of pneumoperitoneum executing the basic tasks to create the workspace in the trainer, the insertion of primary umbilical trocar and simulate some of the everyday problems in surgery. Materials and Methods. A group of electrical with biomedical engineers and laparoscopic surgeons developed a physical trainer that allows implementing the pneumoperitoneum. The system uses pneumatic electro valves that are controlled with a dedicated microprocessor. The user can program the system to set the parameters of the pneumoperitoneum. Results. This new trainer facilitated the programming of right values of parameters to distend the abdominal cavity according a specific clinical case. The model developed enables the trainee to consolidate his knowledge on establishing the parameters required within clinical practice, as well as the entry techniques. Conclusions. A new physical model for laparoscopic training was designed. The system enables the laparoscopic surgeon to set the parameters for establishing the workspace according to the clinical case. The trainer allows the surgeon to train in the Hasson technique for the introduction of the first trocar, as well as the placement of the rest of surgical instruments with video assistance. We think this new trainer system will help minimize entry-related injuries.
基金supported by the project G0F9421N that has received funding within the framework of the Odysseus program from the Research Foundation–Flanders(FWO)the EIC pathfinder Challenges grant(UPSIDE,101070931)ERC starting grant(aTONE,101078225)。
文摘Accurate detection of physiological vibrations is vital for monitoring health and enabling sensory feedback in bioelectronics.Current technologies often suffer from low signal-to-noise ratios(SNR),bulkiness,and the need for external amplification.Here,we introduce piezoelectric internal ion-gated organic electrochemical transistors(Piezo-IGTs),which efficiently convert mechanical vibrations into amplified electrical signals.These devices integrate laminated P(VDF-TrFE)microfiber films as the gate atop the transistor channel,generating voltage upon deformation to modulate mobile ions in the conducting polymer.Fabricated via sequential deposition and lamination,Piezo-IGTs achieve high fill factors and efficient on-site amplification,improving SNR over standalone piezoelectric films.They operate near 0 V gate voltage,enabling low-power performance.We validate their functionality in mechanomyography,speech recognition,and mechanocardiography using microscale Piezo-IGTs.This self-contained,flexible architecture demonstrates promise for integration into implantable and wearable systems,offering real-time,high-fidelity acquisition of bio-mechanical signals in nextgeneration health monitoring and neuroprosthetic applications.
