Integration And Portable Detection System Of Cerebral Oxygenation And Performance Test

Abundant study on the hemodynamic response of a brain have brought quite a few advances in technologies measuring it.The most benefitted is the functional near infrared spectroscope(fNIRS) system.A variety of devices have been employed into a variety of neuroscience applications. However, up to now, fNIRS systems still rely on a host computer to receive, display and save data.The extra computer increases the cost of a fNIRS system.In order to extend the portability of fNIRS system, we propose a self-contained eight-channel fNIRS system. It eliminates the requirement for a computer. Instead, the system is centered by an ARM core, which takes charge in the role that a computer played before. A touch screen is integrated as an user interface to receive configurations and display data. The self-contained fNIRS system were eventually qualified by experiments on phantoms with distinct optical coefficients and subjects under different tasks. This article mainly discusses the design of the integration system and the reliability and effectiveness of the guarantee system for performance verification.The integration design is based on the application of serial interface screen, using keil to write programs.ARM controls data transmission to complete the five functions.The five functions mainly include regional network topology, channel curves,parameter configuration, peak detection, channel connection, etc.The pictures are builded and downloadded to system through a serial port or USB.it is successful implementation of the expected requirements.We demonstrated the instrumentation of our portable, multi-channel, self-contained fNIRS system and the performances of the system were performed in optical phantoms as well as in vivo experiments, which including finger tapping task and visual checkerboard reversal task. We analyzed both the temporal and spatial features of the hemodynamic responses induced by the corresponding stimulations. Optical phantom tests show that the system has good performances: such as stability, reproducibility, and sensitivity,etc.The measurement accuracy shows good concordance with well established fNIRS systems. For finger tapping task, hemodynamic responses from right hand were indicated by a local increase in 2HbO and a corresponding decrease in Hb in contralateral motor cortex, while no apparent changes occur in ipsilateral motor cortex.From the above mentioned studies, it can be concluded that the proposed lightweight, miniaturized, self-contained fNIRS system has an excellent temporal resolution and measure accuracy. The tasks used in the present study demonstrated the feasibility of our system for investigating brain activations. From a technical point of view, the proposed system has the potential to be applied in clinical settings.