Medical Cyber Physical System Architecture for Smart Medical Pumps

The transformations through technological innovations have influenced the medical field. There are significant developments in medical devices in their usage. The utilization of the devices is automated in a local, remote environment. The medical devices used in the remote cyber environment uses different network protocols. These devices comprise micro, nanofabricated sensors and actuators which have the facility to communicate using network protocols. The devices that have network capability to integrate into cyberspace through physical methods are typical medical cyber physical systems (MCPS). In MCPS, medical device modelling is an important aspect. Several medical devices are available, and here in the current research, emphasis is focused on smart medical pumps in the MCPS environment. This chapter highlights the essential concepts of the smart medical drug delivery device, its architecture, control, actuation, communication, and analysis in the cyber environment.

Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump

In this paper, we propose a method of wirelessly torque transfer (WTT) and power (WPT) to a drug pump, one of implantable medical devices. By using the magnetic field generated by the WPT system to transfer torque and power to the receiving coil at the same time, applications that previously used power from the battery can be operated without a battery. The proposed method uses a receiving coil with magnetic material as a motor, and can generate torque in a desired direction using the magnetic field from the transmitting coil. The WPT system was analyzed using a topology that generates a constant current for stable torque generation. In addition, a method for detecting the position of the receiving coil without using additional power was proposed. Through simulations and experiments, it was confirmed that WTT and WPT were possible at the same time, and in particular, it was confirmed that WTT was stably possible.

Application of Artificial Intelligence in Medicine: An Overview

Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and application system for the simulation, extension, and expansion of human intelligence. With the assistance of new AI technology, the traditional medical environment has changed a lot. For example, a patient’s diagnosis based on radiological, pathological, endoscopic, ultrasonographic, and biochemical examinations has been effectively promoted with a higher accuracy and a lower human workload. The medical treatments during the perioperative period, including the preoperative preparation, surgical period, and postoperative recovery period, have been significantly enhanced with better surgical effects. In addition, AI technology has also played a crucial role in medical drug production, medical management, and medical education, taking them into a new direction. The purpose of this review is to introduce the application of AI in medicine and to provide an outlook of future trends.

Simulation of Air Motion in Human Lungs during Breathing. Dynamics of Liquid Droplet Precipitation in the Case of Medicine Drug Aerosols

The paper deals with numerical simulation of the air flow in the full human bronchial tree. In their previous studies, the authors developed an analytical model of the full human bronchial tree and a method of stage-by-stage computation of the respiratory tract. A possibility of using the proposed method for a wide range of problems of numerical simulations of the air flow in human lungs is analyzed. The following situations are considered: 1) steady inspiration (with different flow rates of air) for circular and “starry” cross sections of bronchi (“starry” cross sections models some lung pathology); 2) steady expiration; 3) unsteady inspiration; 4) precipitation of medical drug aerosol droplets in human bronchi. The results predicted by the proposed method are compared with results of other researchers and found to be in good agreement. In contrast to previous investigations, the air flow in the full (down to alveoli) bronchial tree is studied for the first time. It is shown that expiration requires a greater pressure difference (approximately by 30%) than inspiration. Numerical simulations of precipitation of medical drug aerosol droplets in the human respiratory tract show that aerosol droplets generated by a standard nebulizer do not reach the alveoli (the droplets settle down in the lower regions of the bronchi).

A Study On Application Of Blockchain Technology To Control Counterfeit Drugs, Enhance Data Privacy and Improve Distribution In Online Pharmacy

Technology has always emerged to embolden the existing working process. On the one hand, it encourages transparency, accessibility and robustness in the system and on the other hand, it begets mitigation of the risks and allows us to detect, evaluate and eliminate vulnerability in the system. The most prominent technologies in todays’ world like Artificial Intelligence, Virtual/Augmented Reality, Automation, Cloud Computing are thriving to solve society’s problems and ensure the expedition in the process from its previous generation. Blockchain technology is no exception in providing the solution to eliminate the counterfeit markets across the globe and building trust among parties to do business without the fear of indulging or facing any unscrupulous business. Blockchain technology can ensure data privacy while improving supply chain transparency and reducing fraud. It can provide all stakeholders within a certain supply chain with access to the same information, potentially reducing errors. A decentralised application can pave the way to promulgate online pharmaceutical business where health information and each stakeholders’ data is not compromised. Against this backdrop the research conducted throws light on the challenges in the online medical drug and devices’ distribution and proposes a solution, an architectural design for blockchain technology in an online pharmaceutical platform to mitigate the counterfeit market while bringing efficiency to the ecosystem.

IoT Based Automation and Blockchain for Medical Drug Storage and Smart Drug Store

The increase in the work stress and decrease in the time for oneself has led to the rise in the dependency on the medicines and drugs. The drugs and medicines are the key sources for saving the human life when the patient is in the danger. In order to maintain regular and quality supply of the drugs and medicines has to monitor on the regular basis. There are numerous medicines and drugs brought in the store but usually drugs and medicines are stolen to satisfy one’s greed, get expired or placed at unknown locations in the store. So to prevent such situation and saving the life of the patient Drug and Medicine Monitoring Model can be used. The model uses the RFID and IoT technology in order to monitor the drugs and medicines in the store. In medical and drug using systems which are increasing work stress and decreasing the time for oneself that has risen in dependency. The danger situation drugs and medicine is the main source for saving human life when the people are in danger. A daily regular basis to maintain a quality supply of the drug and medicine has been monitored. While traveling and transportation time is numerous medicines and drugs brought from the store but usually it is stolen to one’s greed and the medicines and drugs or placed at unknown locations. To prevent and save a patent life and monitoring model can be used to check the medicine and drug. In our model RFID tag and IoT technology can be used to monitor medicine and drug storage with the help of hospitals and how having a knowledge of the system and chemist of the medical and drugs available, the medicines and drugs quality of location and their safety.

EPIDEMIOLOGICAL PROFILE OF CHILDREN VICTIMS OF BURNS ATTENDED IN A REFERENCE HOSPI-TAL IN THE AMAZON

Background: Burns represent a traumatic situation in children. Such trauma is experienced after hospital discharge, when the child finds it difficult to interact in his social and family environment. Information is the most effective way to reduce the consequences generated by the burn. Objectives: To trace the epidemiological profile of children victims of burns who enter a referral hospital in the Amazon. Methods: This study was retrospective, descriptive, observational, cross-sectional and documentary, of a quantitative nature, carried out through analyzes in hospital records, from January 2016 to December 2018. Results: Of the 403 records analyzed, the gender male stood out with 237 (59%) and female 166 (41%); the burned body surface index was 0 to 10% with 210 (52%); the burn depth was 2nd degree, with 370 (92%) of the total cases; medical drug treatment, tramadol as the most used 180 (53%). As for clinical treatment with intervention, debridement indicated a higher prevalence 340 (84%) of cases. In physical therapy treatment, 255 (63%) did not undergo any type of physical therapy intervention, 389 (97%) did not present any complications during hospitalization. Conclusions: Studies to date are scarce with specific and detailed data on the subject, so that effective intervention strategies are provided in order to reduce this trauma in children, especially in the most prevalent age group of this study.