Biomedical Engineering and Signal Processing with AI and ML focuses on recent research and innovation in AI technologies for biomedical applications. Additionally, it focuses on various signal acquisition and processing techniques that provide some very promising solutions in the field of biomedical engineering. A few other promising areas in the field of computation, like machine learning, Internet of Things (IoT), data sciences and big data, are also addressed, which accelerate the deployment of biomedical devices in various AI and healthcare applications. As the application of artificial intelligence is drastically increasing, this book will help the researchers and innovators to solve the complex issues in biomedical and signal processing and its various applications in the healthcare industry. As the biomedical sector is playing a vital role in future healthcare application, so main emphasis is placed on multidisciplinary perspective of employing these new applications like machine learning, AI tools and big data in biomedical engineering, exploring the combination of recent computational tools of engineering with biological knowledge that will contributes to the development of revolutionary applications in new areas of medical imaging and signal acquisition. It can serve as an excellent textbook for students in areas where traditional textbooks have not yet been developed and as a wonderful review of the significant areas of activity in each biomedical engineering sub discipline, such as biomechanics, AI, signal processing, biomedical signals, data acquisition, machine learning, application, analog signal pre-conditioning, analog signal acquisition, analog signals pre-processing, data acquisition and compressions, artificial intelligence biomaterials, bio-instrumentation, medical imaging, etc.

Biomedical Engineering and Signal Processing with AI and ML focuses on recent research and innovation in AI technologies for biomedical applications. Additionally, it focuses on various signal acquisition and processing techniques that provide some very promising solutions in the field of biomedical engineering. A few other promising areas in the field of computation, like machine learning, Internet of Things (IoT), data sciences and big data, are also addressed, which accelerate the deployment of biomedical devices in various AI and healthcare applications. As the application of artificial intelligence is drastically increasing, this book will help the researchers and innovators to solve the complex issues in biomedical and signal processing and its various applications in the healthcare industry. As the biomedical sector is playing a vital role in future healthcare application, so main emphasis is placed on multidisciplinary perspective of employing these new applications like machine learning, AI tools and big data in biomedical engineering, exploring the combination of recent computational tools of engineering with biological knowledge that will contributes to the development of revolutionary applications in new areas of medical imaging and signal acquisition. It can serve as an excellent textbook for students in areas where traditional textbooks have not yet been developed and as a wonderful review of the significant areas of activity in each biomedical engineering sub discipline, such as biomechanics, AI, signal processing, biomedical signals, data acquisition, machine learning, application, analog signal pre-conditioning, analog signal acquisition, analog signals pre-processing, data acquisition and compressions, artificial intelligence biomaterials, bio-instrumentation, medical imaging, etc.

Biomedical Engineering and Signal Processing with AI and ML focuses on recent research and innovation in AI technologies for biomedical applications. Additionally, it focuses on various signal acquisition and processing techniques that provide some very promising solutions in the field of biomedical engineering. A few other promising areas in the field of computation, like machine learning, Internet of Things (IoT), data sciences and big data, are also addressed, which accelerate the deployment of biomedical devices in various AI and healthcare applications. As the application of artificial intelligence is drastically increasing, this book will help the researchers and innovators to solve the complex issues in biomedical and signal processing and its various applications in the healthcare industry. As the biomedical sector is playing a vital role in future healthcare application, so main emphasis is placed on multidisciplinary perspective of employing these new applications like machine learning, AI tools and big data in biomedical engineering, exploring the combination of recent computational tools of engineering with biological knowledge that will contributes to the development of revolutionary applications in new areas of medical imaging and signal acquisition. It can serve as an excellent textbook for students in areas where traditional textbooks have not yet been developed and as a wonderful review of the significant areas of activity in each biomedical engineering sub discipline, such as biomechanics, AI, signal processing, biomedical signals, data acquisition, machine learning, application, analog signal pre-conditioning, analog signal acquisition, analog signals pre-processing, data acquisition and compressions, artificial intelligence biomaterials, bio-instrumentation, medical imaging, etc.