Development of Low Cost Health Prognosis Monitoring System using MYO ELECTRODE with EHealth Shield
This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Sh
2025-06-28 16:26:40 - Adil Khan
Development of Low Cost Health Prognosis Monitoring System using MYO ELECTRODE with EHealth Shield
Project Area of Specialization Wearables and ImplantableProject Summary| This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG). This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application. |
This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG).
This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.
Project Objectives- Research Objectives
- To collect data of patients who are alone at home and need continuous monitoring
- To reduce the monitoring efforts to a patient and improve alarming.
- To synthesis the results and generate a model to generate prognosis prediction
- Academic Objectives
- To understand the data analytics techniques of the patients with sensors
- To develop a model for telematric health monitoring system using ML
- To publish research article in an IEEE conference or journal
- Commercial Objectives
- To design a low cost system and easily managable for telematric health monitoring system
- To promote the Self Developed telematric health monitoring devices available in Pakistan
- To bridge the gap between the doctors and the patients in improving the health system of Pakistan
1. Requirements gathering:
In this phase we will gather all the requirements according to the project. Our project consists of two parts. hardware part and software part for hardware pard we need Arduino e health shield card with have more than 9 health sensors and their monitoring components which will monitor patient health issue and will send all the data to the software which will run on client (user) device which will be on remote location through different connectivity option like WIFI, zigbee,3G etc. Result should be accurate and easy to understandable for everyone.
2.Design:
after completion of first phase, we understand all the requirements and everything is clear so we will forward to the next phase which is design phase. In this phase we will make our hardware and software design. In hardware part we will design that how hardware components will be connected to each other and also with network devices. We also design that how the data will flow through the network and reach to the client device. In software part we will design UI and their different components (option) and also design the methodology of their integration that how will all the option will be work during the processes also stored different results and result ranges of different diseases which we will gather from different health sectors. These data will use to predict their health condition.
3.Development:
In this phase we will start development according to design. we will start writing our codes and try to make an application with is define in requirement gathering and follow the design of application. We will start work on UI, API’s and all components of application which is defined in requirements. We will code our whole application in this phase. All the implementation according to the design will be done in this phase.
4.Testing:
In this phase, the QA team will examine the project’s performance iteratively until satisfaction. During this process, they will keep looking for bugs. If they will find any bug, project will be return to phase 3 to remove the bug and to resend to phase 4.
5.Deployment:
When testing is completed so the product will ready for deployment. This phase we deploy our product. We launch our product on different platforms like google play store so it will accessible for everyone.
6.feedback:
It is the last step of agile model. In this phase management team will receive feedbacks about the application

A doctrine to improve medical science with an advance all in one health monitoring instrument which may be useful to patients, caretakers/guardians or doctors.Smart Health monitoring system The Healthcare business stays among the quickest to adopt the Internet of Things. The main reason for this trend is that coordinating IOT features into clinical gadgets enormously works on the quality and viability of administration, bringing particularly high incentives for the older, patients with persistent conditions, and those requiring steady supervision. As indicated by certain evaluations, spending on Healthcare IOT arrangements will arrive at a faltering $1 trillion by 2025 and, ideally, will make way for exceptionally customized, open, and on-time Healthcare administrations for everybody. Organized sensors, either worn on the body or inserted in our living surroundings, make conceivable the get-together of rich data demonstrative of our physical and psychological wellness. Caught on a nonstop premise, collected, and successfully mined, such data can achieve a positive extraordinary change in the health care landscape. The IOT is utilized by clinical consideration to screen the physiological situations with patients through sensors by gathering and investigating their data and afterward sending dissected patients' information from a distance to handling focuses to make appropriate moves. Not only for patients, however, is it additionally helpful for normal people to actually look at their health status by utilizing wearable gadgets with sensors.
This device will consist of more than 9 health monitoring sensors that will give approximate answers. So, we don’t need a trained person to use it. Gather information (output) can be sent to the remote location using multiple connectivity options like Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4, and ZigBee depending on the application. This device will also connect with an application in which you track your record and also monitor it where ever you are and whenever want.
Technical Details of Final Deliverable| This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG). This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application. |
This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG).
This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.
Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Health Core Technology Internet of Things (IoT)Other Technologies Robotics, Cloud Infrastructure, Wearables and ImplantablesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| This project involves the concept which is based on using technology to improve the quality of healthcare. E-Health empowers patients to take an active role in their treatment, allowing them to gain a deeper understanding of their conditions and how to effectively manage them. The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG). This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application. |