The physics behind biomedical devices plays a very wide range of roles in healthcare technology, not all of which are included in this chapter. Human health and well-being is improved due to a variety of medical devices. In such equipment, concepts of physics are applied for design and development. In the healthcare field, medical physicists are found in various departments of hospitals for quality patient care in oncology, radiology, nuclear medicine, audiology, cardiology, physiological monitoring, and others. As the geriatric population progresses, the need for novel solutions to manage age-related diseases increases especially related to nuclear medicine. To combat this, intense design and development in medical devices are important for ontological treatment using radioisotopes in chemotherapy and radiation therapy. This ultimately leads to suboptimal treatment outcomes necessitating long-term care. Physics involved in the above treatment procedures and ontological equipment is very important to decode in the healthcare field.
Motivation. In the modern world of information technology, the need for ensuring the safety of wireless transmissions while transiting through a given network is growing rapidly. The process of transmitting images via a wireless network is fraught with difficulty. There is a possibility that data may be corrupted while being transmitted, which would result in an image with low resolution. Both of these issues were investigated head-on in this research methodology using the aiding double space-time block coding (DSTTD) system and the self-super-resolution (SSR) method. Description. In recent times, medical image transmission over a wireless network has received a significant amount of attention, as a result of the sharing of medical images between patients and doctors. They would want to make sure that the image was sent in a risk-free and protected manner. Arnold cat map, often known as ACM, is a well-known and widely implemented method of image transmission encryption that has been in use for quite some time. At the receiver end, SSR is now being employed in order to view the transmitted medical image in the finest possible resolution. It is anticipated that in the near future, image transmission through wireless DSTTD will be technically feasible. This is performed in order to maximize the benefits that the system has to offer in terms of both spatial diversity and multiplexing as much as is possible. Conclusion. The SSR approach is used in order to represent the image in a document pertaining to human resources. ACM is used so that the image may be sent in a risk-free and protected way. The adoption of a DSTTD-based architecture for wireless communication is suggested. A comparison of the results is provided, and PSNR and SSIM values are detailed towards the results and discussion of the article.
High peak-to-average ratio (PAR) is one of the main problems in Orthogonal Frequency Division Multiplexing (OFDM) systems. This problem becomes more complicated when Space-time codes (STC) are employed as any PAR reduction method should not destroy the relationships among STC encoded OFDM symbols. There are existing PAR reduction methods for STC-OFDM systems. However, these methods do not provide sufficient performance of PAR reduction without complex receivers. In this paper, we propose Modified Active Constellation Extension (Modified ACE) method for STC encoded OFDM systems to provide 3.5dB of PAR improvement at a 10 -3 complementary cumulative density function (CCDF) of PAR. Most importantly, Modified ACE does not require any complex receivers or side information.
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