Incorporate the latest biomedical engineering diagnostic techniques and procedures into your professional work thanks to esta Postgraduate diploma”

Biomedical engineering has provided numerous novel solutions and techniques for the treatment and diagnosis of different patients and pathologies. For this reason, this is one of the most important fields at present, since it offers an answer to extremely difficult challenges such as the detection of certain diseases or the monitoring of patients in a delicate clinical position. Esta Postgraduate diploma in Diagnostic Engineering and Clinical Monitoring offers the engineer the most advanced knowledge in this field, allowing them to develop a professional career in this area with all the guarantees.

They will do so thanks to the in-depth study of aspects such as nuclear medicine, ultrasound medical imaging, image processing, image-guided surgery, robotic vision, deep learning and machine learning applied to medical imaging, applications of medical hardware and software, and biosensors, among many other things.

The engineer will be able to update their knowledge on these issues thanks to TECH 100% online learning system, which will allow them to balance their studies with their professional career. Participants will also benefit from numerous multimedia teaching resources such as procedural videos, interactive summaries, case studies or master classes, always supervised by a teaching staff specialized in this area of engineering.

Learn the latest techniques in diagnosis and clinical monitoring from an engineer's point of view, delving into issues such as robotic vision and the generation of biomodels from images"

This Postgraduate diploma in Diagnostic Engineering and Clinical Monitoring contains the most complete and up-to-date educational program on the market. Its most notable features are:

• The development of case studies presented by experts in Biomedical Engineering
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Diagnostic Engineering is one of the most in-demand fields today: this program gives you all the tools you need to specialize and give your career a boost"

The program includes in its teaching staff, professionals from the sector who contribute their work experience to this program, in addition to recognized specialists from leading companies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

Delve into Nanotechnology and medical devices and become a specialist in demand by prestigious engineering and medical services companies"

TECH has designed a 100% online teaching system to allow you to continue your professional work without interruptions, since it allows you to choose when and where to study"

This Postgraduate diploma in Diagnostic Engineering and Clinical Monitoring is divided into 3 specialized modules, through which the engineer will learn about the latest advances in medical image storage and transmission systems, image generation and detection in nuclear medicine, image analysis and segmentation, image-guided surgeries and the manufacture of biosensor prototypes, among others.

You won't find more up-to-date content in Diagnostic Engineering than in this program. Don't miss this opportunity and enroll”

Module 1. Biomedical Imaging

1.1. Biomedical Imaging

1.1.1. Medical Imaging
1.1.2. Objectives of Imaging Systems in Medicine
1.1.3. Types of Imaging

1.2. Radiology

1.2.1. Radiology
1.2.2. Conventional Radiology
1.2.3. Digital Radiology

1.3.  Ultrasound

1.3.1. Medical Imaging with Ultrasound
1.3.2. Training and Image Quality
1.3.3. Doppler Ultrasound
1.3.4. Implementing and New Technologies

1.4. Computerized Tomography

1.4.1. CT Imaging Systems
1.4.2. Reconstruction and CT Image Quality
1.4.3. Clinical Applications

1.5. Magnetic Resonance

1.5.1.  Magnetic Resonance Imaging (MRI)
1.5.2.  Resonance and Nuclear Magnetic Resonance
1.5.3.  Nuclear Relaxation
1.5.4.  Tissue Contrast and Clinical Applications

1.6. Nuclear medicine

1.6.1. Generation and Image Detection
1.6.2. Image Quality
1.6.3. Clinical Applications

1.7. Image Processing

1.7.1. Noise
1.7.2. Intensification
1.7.3. Histograms
1.7.4. Magnification
1.7.5. Processing

1.8. Analysis and Image Segmentation

1.8.1. Segmentation
1.8.2. Segmentation by Region
1.8.3. Edge Detection Segmentation
1.8.4. Generation of Biomodels from Images

1.9. Image-Guided Interventions

1.9.1. Visualization Methods
1.9.2. Image-Guided Surgeries

1.9.2.1. Planning and Simulation
1.9.2.2. Surgical Visualization
1.9.2.3. Virtual Reality

1.9.3. Robotic Vision

1.10. Deep Learning and Machine Learning in Medical Imaging

1.10.1. Types of Recognition
1.10.2. Supervised Techniques
1.10.3. Unsupervised Techniques

Module 2. Biomedical Technologies: Biodevices and Biosensors

2.1. Medical Devices

2.1.1. Product Development Methodology
2.1.2. Innovation and creativity
2.1.3. CAD Technologies

2.2. Nanotechnology

2.2.1. Medical Nanotechnology
2.2.2. Nanostructured Materials
2.2.3. Nano-Biomedical Engineering

2.3. Micro and Nanofabrication

2.3.1. Design of Micro and Nano Products
2.3.2. Techniques
2.3.3. Tools for Manufacturing

2.4. Prototypes

2.4.1. Additive Manufacturing
2.4.2. Rapid Prototyping
2.4.3. Classification
2.4.4. Applications
2.4.5. Study Cases
2.4.6. Conclusions

2.5. Diagnostic and Surgical Devices

2.5.1. Development of Diagnostic Methods
2.5.2. Surgical Planning
2.5.3. Biomodels and Instruments Made With 3D Printing
2.5.4. Device-Assisted Surgery

2.6. Biomechanic Devices

2.6.1. Prosthetics
2.6.2. Intelligent Materials
2.6.3. Orthotics

2.7. Biosensors

2.7.1. The Biosensor
2.7.2. Sensing and Transduction
2.7.3. Medical Instrumentation for Biosensors

2.8. Typology of Biosensors (I): Optic Sensors

2.8.1. Reflectometry
2.8.2. Interferometry and Polarimetry
2.8.3. Evanescent Field
2.8.4. Fiber Optic Probes and Guides

2.9. Typology of Biosensors (II): Physical, Electrochemical and Acoustic Sensors

2.9.1. Physical Sensors
2.9.2. Electrochemical Sensors
2.9.3. Acoustic Sensors

2.10. Integrated Systems

2.10.1. Lab-on-a-Chip
2.10.2. Microfluids
2.10.3. Medical Application

Module 3. Digital Health Applications in Biomedical Engineering

3.1. Digital Health Applications

3.1.1. Medical Hardware and Software Applications
3.1.2. Software Applications: Digital Health Systems
3.1.3. Usability of Digital Health Systems

3.2. Medical Image Storage and Transmission Systems

3.2.1. Image Transmission Protocol: DICOM
3.2.2. Medical Image Storage and Transmission Server Installation: PAC System

3.3. Relational Database Management for Digital Health Applications

3.3.1. Relational Database, Concept and Examples
3.3.2. Database Language
3.3.3. Database with MySQL and PostgreSQL
3.3.4. Applications: Connection and Uses in Web Programming Language

3.4. Digital Health Applications Based on Web Development

3.4.1. Web Application Development
3.4.2. Web Development Model, Infrastructure, Programming Languages and Working Environments
3.4.3. Examples of Web Applications with Different Languages: PHP, HTML, AJAX, CSS Javascript, AngularJS, NodeJS
3.4.4. Development of Applications in Web Frameworks: Symfony and Laravel
3.4.5. Development of Applications in Content Management Systems, CMS: Joomla and WordPress

3.5. WEB Applications in a Hospital Environment or Clinical Center

3.5.1. Applications for Patient Management: Reception, Appointments and Collections
3.5.2. Applications for Medical Professionals: Consultations or Medical Care, Medical History, Reports, etc
3.5.3. Web and Mobile Applications for Patients: Scheduling Requests, Monitoring, etc

3.6. Telemedicine Applications

3.6.1. Service Architecture Models
3.6.2. Telemedicine Applications: Telemedicine, Telecardiology and Teledermatology
3.6.3. Rural Telemedicine

3.7. Applications with the Internet of Medical Things, IoMT

3.7.1. Models and Architectures
3.7.2. Medical Data Acquisition Equipment and Protocols
3.7.3. Applications: Patient Monitoring

3.8. Digital Health Applications Using Artificial Intelligence Techniques

3.8.1. Machine Learning
3.8.2. Computing Platforms and Development Environments
3.8.3. Examples

3.9. Digital Health Applications with BigData

3.9.1. Digital Health Applications with Big Data
3.9.2. Technologies Used in Big Data
3.9.3. Use Cases of Big Data in Digital Health

3.10. Factors Associated with Sustainable Digital Health Applications and Future Trends

3.10.1. Legal and Regulatory Framework
3.10.2. Good Practices in the Development of Digital Health Application Projects
3.10.3. Future Trends in Digital Health Applications

The most expert faculty, coupled with advanced knowledge and its teaching method, make this program the best for the engineer who wishes to delve into the methods of clinical diagnosis and monitoring"