Monitoring systems for elderly require a compromise between reduced size and operational autonomy. The latter to get a system as independent as possible and to fit with our application needs for daily use. Our patch i...Monitoring systems for elderly require a compromise between reduced size and operational autonomy. The latter to get a system as independent as possible and to fit with our application needs for daily use. Our patch is developed as a surveillance system for old people;we chose to equip it with a wireless charging system for greater ease of use, imperceptible in the everyday life and waterproofing. This paper presents the development of a printed receiver coil to be integrated in a wireless charger to be used in an elderly tracking patch. The proposed design is validated using simulation that presents a good agreement with measurement results: Simulation (@150 KHz: L = 10.74 μH;R = 3 Ω) and Measurement (@150 KHz: L = 10.8 μH;R = 3.16 Ω). The receiver coil is elaborated on a polyimide substrate in the cleanroom of our laboratory LAAS-CNRS (Laboratory for Analysis and Architecture of Systems-National Center for Scientific Research) and a PCB (Printed Circuit Board) charger prototype is fabricated to test its performances before the integration of the wireless charging property in the tracking patch. The proposed coil presents a good compromise between small size and efficiency. For a charging current of 7.5 mA, this coil can ensure the recharging of the patch up to a distance of 4.8 mm between the Qi transmitter and receiver which is more than enough for our application.展开更多
The utilization of surgical telementoring has become increasingly prevalent in enhancing the surgical standards of grassroots hospitals in contemporary times.In the traditional framework of surgical telementoring,remo...The utilization of surgical telementoring has become increasingly prevalent in enhancing the surgical standards of grassroots hospitals in contemporary times.In the traditional framework of surgical telementoring,remote doctors guide grassroots doctors via video and audio communication,which may encounter obstacles such as inadequate information transfer and challenges in accurately pinpointing the surgical site and path.To mitigate these issues,this study introduces an intelligent surgical telementoring system based on edge computing.This system enables the transmission of points marked by remote doctors to grassroots doctors,updating these points’coordinates in real-time on the local endoscopic video.In this system,a novel method named P2PTracking(Patchto-Pixel Point Tracking)is implemented.This process begins with the tracking of a square patch surrounding the point marked by the remote doctor using SiameseFC.Following this,feature matching is performed on the tracked patch in the current frame and the square patch in the labelled frame or template frame.The affine transformation is then calculated based on the feature matching results.Lastly,the point tracking result is derived using the computed affine transformation.Experimental results indicate that the proposed system has a transmission speed of 1.99M/s and a transmission latency of 171 ms when transmitting video at a resolution of 1920×1080px,while the proposed method can achieve an accuracy of 96.6%when the pixel error is 4.The code and data are available at https://github.com/hfut66/P2PTracking.git.展开更多
文摘Monitoring systems for elderly require a compromise between reduced size and operational autonomy. The latter to get a system as independent as possible and to fit with our application needs for daily use. Our patch is developed as a surveillance system for old people;we chose to equip it with a wireless charging system for greater ease of use, imperceptible in the everyday life and waterproofing. This paper presents the development of a printed receiver coil to be integrated in a wireless charger to be used in an elderly tracking patch. The proposed design is validated using simulation that presents a good agreement with measurement results: Simulation (@150 KHz: L = 10.74 μH;R = 3 Ω) and Measurement (@150 KHz: L = 10.8 μH;R = 3.16 Ω). The receiver coil is elaborated on a polyimide substrate in the cleanroom of our laboratory LAAS-CNRS (Laboratory for Analysis and Architecture of Systems-National Center for Scientific Research) and a PCB (Printed Circuit Board) charger prototype is fabricated to test its performances before the integration of the wireless charging property in the tracking patch. The proposed coil presents a good compromise between small size and efficiency. For a charging current of 7.5 mA, this coil can ensure the recharging of the patch up to a distance of 4.8 mm between the Qi transmitter and receiver which is more than enough for our application.
基金supported by the National Natural Science Foundation of China[grant numbers 62133004,72188101,72293585 and 62322308]the Natural Science Foundation of Anhui Province[grant number 2108085J33]+1 种基金the Anhui Provincial Major Science and Tech-nology Project[grant number 202203a05020010]the Fundamental Research Funds for the Central Universities[grant numbers JZ2023HGQA0125,JZ2024HGTA0174].
文摘The utilization of surgical telementoring has become increasingly prevalent in enhancing the surgical standards of grassroots hospitals in contemporary times.In the traditional framework of surgical telementoring,remote doctors guide grassroots doctors via video and audio communication,which may encounter obstacles such as inadequate information transfer and challenges in accurately pinpointing the surgical site and path.To mitigate these issues,this study introduces an intelligent surgical telementoring system based on edge computing.This system enables the transmission of points marked by remote doctors to grassroots doctors,updating these points’coordinates in real-time on the local endoscopic video.In this system,a novel method named P2PTracking(Patchto-Pixel Point Tracking)is implemented.This process begins with the tracking of a square patch surrounding the point marked by the remote doctor using SiameseFC.Following this,feature matching is performed on the tracked patch in the current frame and the square patch in the labelled frame or template frame.The affine transformation is then calculated based on the feature matching results.Lastly,the point tracking result is derived using the computed affine transformation.Experimental results indicate that the proposed system has a transmission speed of 1.99M/s and a transmission latency of 171 ms when transmitting video at a resolution of 1920×1080px,while the proposed method can achieve an accuracy of 96.6%when the pixel error is 4.The code and data are available at https://github.com/hfut66/P2PTracking.git.
