No abstract

Various dentistry fields such as teeth treatment, dental restoration, and denture production require the application of three-dimensional intraoral scanners to create digital impressions. This study presents a method to reconstruct a three-dimensional teeth crown by utilizing a prototype intraoral custom design with publicly available software. The system consists of custom containing an endoscope camera and two light sources (white LED and blue laser), a personal control computer, and photogrammetric open source software packages (VisualSFM, CMVS/PMVS, and MeshLab). Photogrammetry methods were used to acquire the three-dimensional teeth model with high precision. Multi images have been captured of the interesting teeth using the custom system from different angles. The capturing process was done in two phases using one illumination source each time. The captured images are loading to Photogrammetry software to generate the three-dimensional dense point cloud. A comparison has been made of the resulted dense point cloud at each phase. Finally, the dense point cloud is loading to MeshLab software to generate the three-dimensional mesh that can be utilized in CAD/CAM software. The results have shown the superiority of using blue illumination with the photogrammetry software that shows good accuracy of teeth crown details and measurements that are related to the reconstruction algorithm which yields in more number of 3D points of the object to generate good three-dimensional meshes of the teeth crown. This study helps to offer low cost, simple design, and a user-friendly system to generate a three-dimensional teeth crown.

In these recent years, the world has witnessed a kind of social exclusion and the inability to communicate directly due to the Corona Virus Covid 19 (COVID-19) pandemic, and the consequent difficulty of communicating with patients with hospitals led to the need to use modern technology to solve and facilitate the problem of people communicating with each other. healthcare has made many remarkable developments through the Internet of things (IOT) and cloud computing to monitor real-time patients' data, which has enabled many patients' lives to be saved. this paper presents the design and implementation of a Private Backend Server Software based on an IoT health monitoring system concerned emergency medical services utilizing biosensors to detect multivital signs of an individual with an ESP32 microcontroller board and IoT cloud. The device displays the vital data, which is then uploaded to a cloud server for storage and analysis over an IoT network. Vital data is received from the cloud server and shown on the IoT medical client dashboard for remote monitoring. The proposed system allows users to ameliorate healthcare jeopardy and minify its costs by recording, gathering, sharing, and analyzing vast biodata streams such as Intensive Care Units (ICU) (i.e., temperature, heartbeat rate, Oxygen level (CO2), etc.), efficiently in real-time. In this proposal, the data will send from sensors fixed in the patient body to the Web and Mobile App continually in real time for collection and analysis.

Anesthesia is critical in medical procedures to ensure the patient's body remains stable and unresponsive during surgery. However, administering the correct dose can be challenging, particularly in prolonged surgeries. An auto-controlled system that incorporates vital sensors and a microprocessor controller has been proposed to address this issue. This system uses an infusion pump to provide the correct amount of anesthetic based on the patient's vital signs. The microprocessor takes control of the system once initiated and signals the motor driver to start injecting the required amount of anesthesia while monitoring vital signs such as temperature, heartbeat, and Spo2. The system alerts the doctor if any abnormality is detected, and the supply of anesthetic is stopped until everything returns to normal. This system ensures accurate anesthetic dosage, minimizing the risk of complications and ensuring a safe surgical procedure.