This paper presents a portable heart rate and SpO2 blood-oxygen-level monitoring system with robust performance. The system is designed to be user interactive and kept its architecture as minimalistic as possible. The system is small in size, and user compatibility is high compared with other conventional medical devices. This system is based on a MAX30100 sensor which can produce results with high accuracy. Anyone using this device can move during the monitoring of vital signs of the heart. This paper describes the practical application cases in which this type of system is mainly used where the end-user has size and mobility requirements in the first place. A custom-designed GUI is implemented on an OLED to display the measured sensor data in real-time.
Underwater environment is one of the most challenging areas when considering scene reconstruction and mapping, feature extraction of environment etc. GPS usage is denied in underwater environment and a waterproof lidar is also not a cost-effective solution to map and localize. Lidar-based simultaneous localization and mapping (SLAM) are also not preferred in budget-constrained applications. So, a visual-slam (V-SLAM) approach called Real-Time Appearance Based Mapping (RTAB-Map) is used to reconstruct the view in underwater scenario, i.e., map and localize the camera in the environment. In this work, Intel Real Sense D455 depth camera with inbuilt inertial measurement unit (IMU) is used for scene reconstruction. In order to get better visualization, it needs high performance embedded computer. Here, Jetson Nano embedded computer with robot operating system is used. Experiment is conducted for 3-D reconstruction map with the help of RTAB mapping technique and inbuilt IMU localized the camera in unknown environment. Then various depth, point clouds, odometry of a camera, visual object information is extracted in the indoor environment.
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