With the population aging worldwide, new solutions for non-invasive health monitoring are required. Radar systems have been proposed as a promising technology for monitoring vital signs in ambient assisted living (AAL) applications. Monitoring vital signs such as breathing rate, heart rate, and pulse rate can provide crucial insights into human well-being and detect a wide range of medical problems. The main focus of mm-wave radar applications is currently geared towards the automotive market; however, several potential application areas within the broad industrial and healthcare domain are also under active investigation. Their major advantage is that, without the need for any cable or electrode, it is possible, at first, to locate the patient inside the room and, then, to measure their respiratory rate and heartbeat. A contactless detection method offers the simple and fast monitoring of vital signs without the disadvantages of current practices. One very promising approach is the use of radar technology. This thesis focuses on finding the safe way of using mm-Wave propagation in a hospital's real-world scenario and finding the safe range of frequency and power dissipation that won’t be harmful to the human body. Objective: In this thesis, we investigate the optimum range of frequency and power of mm-Wave propagation, which can be considered safe for usage in an environment like hospitals. Also, the range of power with respect to the power density which can be considered safe for implementation in E-health systems. Methods: Simulation is considered the method to find various range brackets for different parameters like frequencies, distances, bandwidths, and power. The simulation also helps to get a large number of results for a closer approximation. The received signal is observed to get the desired results, and using the available data, the ranges are found for safe usage of the forementioned technologies. Results: The results obtained are tabulated to show the relation of received signal strength with all the other parameters like frequency, distance, and power. Then using the power and received signal relation, the safe range of power is calculated, which can be used in a closed environment like hospitals.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-22427 |
| Date | January 2021 |
| Creators | GARG, PRAFULL |
| Publisher | Blekinge Tekniska Högskola, Fakulteten för datavetenskaper |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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