Biomedical Imaging and sensing (BIS) and Communications, Networking, Signal and Image Processing (CNSIP)

Introduction

Biomedical imaging and sensing is a field of engineering used in clinical medicine. BIS helps in solving clinical problems, which include acoustic and stereo imaging, magnetic resonance imaging, elements of cardiac responses and induced currents of nerves stimulations from created electromagnetic fields. Use of BIS in clinical medicine focuses on improving diagnosis accuracy, improve instruments used for diagnosis and facilitated an improved patient recovery. Communications, Networking, Signal and Image Processing (CNISP) is a multimedia platform that helps in building connections by transmitting video, audio, and data for electronic commerce and personal entertainment. CNSIP is also an engineering discipline, which extracts, manipulate and store information in complex signals and images. The research paper seeks to present a descriptive analysis of BIS and CNSIP. 

Biomedical research is a step of improving clinical processes to improve the health and well-being of people. The research gives inexpensive acoustical instruments that monitor pathological changes in a non-critical environment (Siemens AG, 2017). The instruments give the goal of clinical practices on a concern about the physiological functions of people. BIS has acoustics that guides respiration in infants. Imaging and sensing in biomedical practice apply to the processing of signals and filtered algorithms that apply to the technological monitor of physiological functions of living species. For example, BIS generation of stethoscopes is a step that monitors several body physiological activities. However, BIS gives a broad spectrum of renowned expertise in imaging because the use of stethoscopes limits the ideology of non-critical environment (Bulte & Modo, 2016). For example, a stethoscope is not useful in noisy environments. 

BIS

Biomedical imaging concentrates on creating images for the purpose of therapy and diagnosis. Biomedical imaging is computer technology, which utilizes sound, x-rays, magnetism, radioactive pharmaceuticals and light to monitor and examine a condition of an organ or a tissue (Mukhopadhyay & Lay-Ekuakille, 2010). The snapshots are in vivo and define the physiology as well as physiological processes for diagnosis and treatment evaluation. Biomedical imaging utilizes the computer technology principle of sensors, instrumentation, and software to monitor a patient over time. The scans and snapshots assessed by imaging technologies represent an improved biomedical research useful for spotting the levels and effects of pathology. The ultrasound and optical molecular imaging as a new technique in clinical medicine bring new means of examining the human body (Ourselin, Alexander, Westin, & Cardoso, 2015). Biomedical imaging, therefore, reduces the need for invasive evaluation and diagnostic procedures as well as treatment of pathological conditions in humans. 

BIS gives an option of improving biomedical practices with its application to visualization. For example, the renowned imaging applies to visualization of the mammary glands and the lungs (Bulte & Modo, 2016). BIS gives acoustic images, which helps in experimental, diagnostic, and monitor of any pathological conditions. BIS focuses on reducing the cost in the fields of clinical practices as well as improving the accuracy of examinations. The BIS acoustic instruments improve the safety of patients because the instruments give a significant portion of the area of monitor and examination. As a result, the principles of biomedical and electroacoustic help in the provision of measuring and imaging diagnostic and therapeutic process of clinical medicine. 

CNSIP

Communications, Networking, Signal and Image Processing is an engineering discipline that features signal and data transmission, coding and modulation. Information representation, transmission, processing, and understanding are the collective aspect of CNSIP (Siemens AG, 2017). The field consists of tools and algorithms that compute codes and connects networks statistically for entertainment, health and environment monitoring. Communication is essential in the society as it analyzes information. Signal and image processing protocols provide a digital system for medical imaging and monitoring. Communication and networking focus on wireless connectivity as well as sensor networks. Ourselin et al. (2015) explained that signal and image processing is a form of extracting the information communicated through the chosen networks. Signal and image processing filter design, transform and illustrates algorithms created by the communication and networking techniques. 

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Data communication is the transfer of digital information between two or more computer networks. Networking is a platform that allows computers to exchange data. The physical connection between networked computers gives a form of packets, which process images, and sensors shared either by the use of cable or by a wireless media (Mukhopadhyay & Lay-Ekuakille, 2010). The Internet is the most developed form of computer network, which helps in the passing of information. Transmitting and receiving data occurs via a local area, a wide area or a metropolitan area. The geographic division of the network defines how communication and networking work together. Local area network, wide area network and metropolitan network help in sharing of information. The connectivity is, therefore, the Communication and Networking principle of engineering.

Signal and image processing encompasses the theories of understanding algorithms and converting signals produced by the network used in communication. According to Camps-Valls, Rojo-Álvarez, and Martínez-Ramón, algorithms and hardware conversion of signals are produced by both specific and natural means with specific purposes. The signals are audios, videos, images, sensors, either electrocardiograms or seismic data. Signal and image processing involves transmission, display, storage, interpretation, segmentation, and diagnosis (2007). Signal and image processing applies to several fields of significance which include medical imaging and monitoring, remote sensing and environment monitoring, consumer electronics, industrial electronics and robotics and autonomous vehicles (General Electric company (GE), 2015). Translating the fundamental work of algorithm includes modeling, compression, and recognition. 

The significance of BIS and CNSIP

Signal and image processing makes it possible to acquire, treat, and produce physically measurable quantities. Environmental signals include temperature, humidity, and pollution. The signals may also be biological, telecommunication transmitted signals, which are continuous or discrete (Ourselin et al., 2015). Signal and image processing, therefore, is useful in the digital and physical world as well as the connection of the two for object recognition, tracking, and video production. CNSIP provides a way of acquiring, encoding, transmitting and reproducing different signals, which applies to the physical environment. The information-combined analyses the environment monitors physiological conditions, useful in transportation, banking as well as personal communications. CNSIP is a technological transformation in modeling data and provides understanding on the use of algorithms and signals (Camps-Valls, Rojo-Álvarez, & Martínez-Ramón, 2007). CNSIP represents the improved digital techniques of engineering in relation to biological and environmental science. 

To sum up, BIS helps in solving clinical problems, which include acoustic and stereo imaging, magnetic resonance imaging, elements of cardiac responses and induced currents of nerves stimulations from created electromagnetic fields. Biomedical imaging as computer technology, utilizes sound, x-rays, magnetism, radioactive pharmaceuticals and light to monitor and examine a condition of an organ or a tissue by creating visualizations. Signal and data transmission, coding and modulation, information representation, transmission, processing, and understanding are the collective aspect of CNSIP. Communications, Networking, Signal and Image Processing combines connectivity and processing. Communication and networking focus on wireless connectivity as well as sensor networks. Signal and image processing gives an array of acquiring, treating and producing physically measurable quantities.