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Internet of Things (IoT) in Healthcare

A comprehensive course on the Internet of Things in the advancing healthcare industry.

4 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 1 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

With the Internet of Things (IoT), the efficient delivery of healthcare extends beyond a doctor’s office and now takes place through online networks. Through IoT, medical professionals can now monitor their patients remotely, and determine the best course of treatment in order to improve patient outcomes. As the IoT field continues to grow, it is important for engineers in the healthcare industry to understand core concepts and stay up to date with developments. 

To give you a fundamental understanding of IoT in the healthcare industry, this course elaborates on wearable health monitoring systems, IoT architecture, wireless body area networks, and the Internet of Medical Things (IoMT). It also details the challenges that need to be overcome in the field.  

This course is designed according to the latest trends in the biomedical industry. With the foundational theoretical and practical understanding gained from this course, you can perform well in interviews conducted by top companies and R&D institutions in the biomedical industry. You will also gain an insight on the research field in IoT healthcare to pursue higher education in this domain.

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Module 1 - Introduction to IoT

The IoT collects data from the physical world and connects it to the internet through information received from sensors, hardware, and processors that are interfaced with software. In the healthcare industry, IoT devices like wearable health monitoring systems acquire data from the human body and transfer it to a network for medical professionals to view remotely. To gain an established understanding of IoT, learners must know how wireless communication takes place in the IoT network. 

In this module, you will learn about 

  • Basics of IoT and Communication Technologies
  • Uses of IoT – Smart Cities, Smart Living, Smart Energy, Smart Learning, and Smart Health
  • Wireless Communication Standards – ZigBee, Bluetooth, and WiFi.
  • Challenges of using IoT in Healthcare
  • Uses of IoT in Healthcare Systems – Patient monitoring & diagnostics, home healthcare, personal health care, and fitness

Module 2 - Wearable Health Monitoring System (WHMS)

Through wearable health monitoring systems, otherwise known as wearable health devices, the vital parameters of an individual can be monitored continuously. This enables monitoring of patients in remote settings or clinical environments. For engineers in this field, it is important to understand how wearable health monitoring systems work, and their different applications in the healthcare industry. 

In this module, you will learn about

  • Basics of Wearable Health Monitoring System (WHMS)
  • Need for Wearable Systems
  • Applications of WHMS - Soldiers, Astronauts, SIDS, Home Healthcare, Sports/Fitness, Disaster, COVID, Haptics, and more
  • Design of Wearable Computer - Introduction, Architecture, and Attributes
  • Design of Smart Textiles, Wearable Electronics, Dry Electrodes, and Textile Electrodes
  • Issues of WHMS & Factors Inhibiting Growth

Module 3 - IoT Architecture and Protocols

There are multiple elements like sensors, processors, networks, software, actuators, cloud services, and more that make up an IoT system in the healthcare industry. This is referred to as IoT architecture. It is important for learners to understand the networking architecture, sensors, servers, and interfaces in the IoT to know the ins and outs of data transfer within the system. 

In this module, you will learn about 

  • Networking Architectures, OSI and TCP/IP
  • Protocols and Standardization for IoT - M2M, RFID, SCADA, and BACNet
  • Basic Client-Server Communication Model
  • Network Sockets, Ports, IP and APIs
  • Sensor Interfaces – ECG, EEG, PPG, Pulse Oximeter, Temperature Sensors, and Pressure Sensors
  • Raspberry Pi and Python Programming

Module 4 - Wireless Body Area Network and Internet of Medical Things (IoMT)

Wireless body area networks have a series of sensor nodes connected together in order to measure vital signals from the human body. These networks function to enhance patient quality life. The Internet of Medical Things has medical equipment, applications, and software connected together to transfer data. It is important for learners to understand how data is transferred within these systems. 

In this module, you will learn about 

  • Basics of Wireless Sensor Networks and Applications
  • Wireless Body Area Network (WBAN)
  • WBAN Architecture and Topology.
  • Routing Protocols and Security
  • Energy Harvesting
  • IoMT in Healthcare Introduction and Architecture
  • Wearable IoMT
  • Data Handling, Analysis, and Cloud Computing

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 1 Projects that are available in this program.

Design and Develop an IT based Wireless Wearable Health Monitoring System

Learners are required to design and develop an IoT based wireless health monitoring system that acquires physiological parameters. This system should include ECG, EEG, body temperature, and pulse oximetry. Learners will have to design and fabricate a wearable sensor, program the device to acquire and transmit data wirelessly, and also program software to remotely receive the data. The acquired data will then have to be processed and displayed. At the end of this project, learners will have to deliver a wearable monitoring device that acquires, transmits, and processes physiological signals.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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25 years in the experience range

Instructors with 25 years extensive industry experience.

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Areas of expertise

  • Electronics & instrumentation

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