Abstract: A wireless intelligent ultrasound fetal imaging system includes an ultrasound transducer, an ultrasound AFE module, a ZYNQ module, a machine vision module and a mobile device. The mobile device controls the system by transmitting control parameters values to the system over a wireless link. The ZYNQ module receives and applies the parameters, and outputs processing results to a FPGA processor. Controlled by the parameters, the FPGA processor causes the AFE module to transmit ultrasound wave toward a pregnant mother, and receive and process echoing wave. The FPGA processor then conducts imaging processing. The processed image data is then recognized by machine vision module. The processed image data is integrated before it is sent to and displayed the mobile terminal device.

Abstract: A wireless intelligent ultrasound fetal imaging system includes an ultrasound transducer, an ultrasound AFE module, a ZYNQ module, a machine vision module and a mobile terminal. The ultrasound transducer transmits ultrasound wave toward a pregnant mother's fetal, and receives echo wave from the fetal. Through the ultrasound transducer, the ultrasound AFE module actuates transmission and reception of the ultrasound signal, and digitizes the received signals. The ZYNQ module performs image processing on the digital signals, and sends the processed image to the machine vision module for image recognition. The machine vision module conducts tracking and recognition of 3D and 4D images. The ZYNQ module also integrates the recognized image with the corresponding deflection angle of ultrasound transducer. The integrated image data is then sent to and displayed on the mobile terminal. The mobile terminal further accesses cloud computing resource for sharing and analyzing fetal images.

Abstract: A wireless intelligent ultrasound fetal imaging system includes an ultrasound transducer, an ultrasound AFE module, a ZYNQ module, a machine vision module and a mobile terminal. The ultrasound transducer transmits ultrasound wave toward a pregnant mother's fetal, and receives echo wave from the fetal. Through the ultrasound transducer, the ultrasound AFE module actuates transmission and reception of the ultrasound signal, and digitizes the received signals. The ZYNQ module performs image processing on the digital signals, and sends the processed image to the machine vision module for image recognition. The machine vision module conducts tracking and recognition of 3D and 4D images. The ZYNQ module also integrates the recognized image with the corresponding deflection angle of ultrasound transducer. The integrated image data is then sent to and displayed on the mobile terminal. The mobile terminal further accesses cloud computing resource for sharing and analyzing fetal images.

Abstract: A wireless intelligent ultrasound fetal imaging system includes an ultrasound transducer, an ultrasound AFE module, a ZYNQ module, a machine vision module and a mobile device. The mobile device controls the system by transmitting control parameters values to the system over a wireless link. The ZYNQ module receives and applies the parameters, and outputs processing results to a FPGA processor. Controlled by the parameters, the FPGA processor causes the AFE module to transmit ultrasound wave toward a pregnant mother, and receive and process echoing wave. The FPGA processor then conducts imaging processing. The processed image data is then recognized by machine vision module. The processed image data is integrated before it is sent to and displayed the mobile terminal device.