E Three Graphy
The human body generates various kinds of bio-signals. Bio-signals can be defined as any signal in a living being that can be continually measured and monitored. The bio-signals are very important to be detected and interpreted in the earliest stage because
2025-06-28 16:32:16 - Adil Khan
E Three Graphy
Project Area of Specialization Internet of ThingsProject SummaryThe human body generates various kinds of bio-signals. Bio-signals can be defined as any signal in a living being that can be continually measured and monitored. The bio-signals are very important to be detected and interpreted in the earliest stage because they can be useful in the detection of disease-related to heart, muscles, and brain. These bio-signals can be sensed by the non-invasive method by using skin-surface transducers. Most of the time the patients may come to the hospital for routine checkups only, which results in time-consumption and also there may be a patient who may require immediate treatment but due to that unnecessary crowd (patients that came for routine checkups only), he/she will have to wait. With the advent of IoT and growing health awareness, the applications of wearable ECG & EMG sensors have grown manifold. These applications demand the sensors to be low-cost, low-power and highly portable. In the field of human health care, the health monitoring system has a great significant role. The health monitoring contributes to a wide variety of applications such as hospitals, home care units, sports training, and emergency monitoring system.
All of these signals i.e. ECG, EMG and EEG, are detected by using separate devices which is an expensive and time-consuming activity. The proposed solution includes a single portable device that can be used to detect all the signals using a pair of sensors. The signals are acquired in the form of a set, then separated and further processed to produce reliable results. This would be a cost-efficient and less time-consuming process. Also, this device is an IOT based device so the reports are visible to the physicians of the patients (who are at home).
The target subjects of the system will be the patients that are having cardiovascular diseases, and also diseases related to the brain and muscles. Furthermore, the proposed system will have objectives with respect to the technicians, physicians, the patients and also those people who need a routine checkup. The system will have an objective with respect to efficiency in both time and cost also it will minimize the issues faced by users during the monitoring and detection of diseases. Following are some of the necessary objectives of the project:
- Single Integrated Device
- IoT Based Device
- Disease Prediction(simplified results) i.e. analyzed results along with predictions
- Time & Cost-efficient Solution
Some other objectives with respect to society are:
- Reducing crowds in Hospitals
- Reduced dependency on Physician
- Awareness
- Promoting a Healthier lifestyle
The proposed device will detect ECG, EMG and also EEG signals. Following are the steps involved in acquiring the signals from the human body and their analyzation:
The signals are first acquired using a pair of sensors and are then communicated to the device through serial communication. They are filtered for removing noisy signals through baseline removal, and different filters (low-pass, high-pass, and band-pass filters, etc.) and analyzed by algorithms (that will be executed on the webserver) to classify and produce reliable results.
These results are then displayed on the screen i.e. on the smartphone's screen and the device's screen. The results are also sent to the webserver so that the concerned physicians can also remotely see the results irrespective of their location and they can also contact the patients regarding their results and guide them for further necessary treatment.
Moreover, if the results recorded by the system are curious and the disease needs immediate treatment, then automatically the emergency services will be called in a short period of time (30 sec), and there would be an option to cancel the emergency services in case of human error (like wrong attachment of sensors). This system can save many precious lives.
There exist some solutions for the problem but they have some limitations which the proposed solution will cover, following are few of the advantages of the proposed solution over the existing solution:
- The proposed solution is less time consuming and cost-efficient while the existing is not.
- The proposed solution has the ability to detect all of the three signals in the human body i.e. EEG, ECG and EMG using a single device, while the existing solution is measuring these signals by using a separate device for each.
- As the proposed solution is a portable device so they will be used by the patients at their home too, which will ultimately reduce the unnecessary crowd of patients in the hospitals who came for a routine checkup only. While the existing solution requires the patient to be in the hospital.
- The proposed system is an IOT based device so the results are available to the concerned physicians of the patients all over the world which is not possible in the existing system.
- Also, the proposed solution will automatically call the emergency services which will save the precious time of the treatment.
The proposed solution has also an impact on the society i.e.
- Reducing crowds in Hospitals
- Reduced dependency on Physician
- Awareness
- Promoting Healthier lifestyle
The proposed system will be an integrated hardware and software product. The hardware will include the wearable device that will be composed of the sensors and the board that will be responsible to pre-process those signals and communicate those signals to the mobile app. Following are some of the deliverables of the project:
- A hardware device that will be composed of a pair of sensors, and a communication board that will acquire the signals and then will pre-process them and will communicate them to the smartphone.
- An Android application that will be used to receive the data from the device and will display the analyzed results.
- A webapp that would be used by the concerned physician of the patient.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 76544 | |||
| Raspberry Pi 4 4GB RAM | Equipment | 1 | 14500 | 14500 |
| Wemos D1 V1.0.0-ESP32 Wifi Wireless Bluetooth Development Board | Equipment | 1 | 2500 | 2500 |
| Raspberry Pi 5 inch HDMI TFT Screen LCD | Equipment | 1 | 7000 | 7000 |
| ECG EMG Sensor | Equipment | 2 | 1660 | 3320 |
| Gel Electrodes | Equipment | 7 | 800 | 5600 |
| 64 GB SD Card | Equipment | 2 | 2000 | 4000 |
| Pulse Sensor | Equipment | 2 | 700 | 1400 |
| Hardware designing | Equipment | 1 | 3500 | 3500 |
| Casing and Packaging of the device | Equipment | 1 | 1200 | 1200 |
| Play Store Registration Fee | Equipment | 1 | 3874 | 3874 |
| Datasets Creation fee | Equipment | 3 | 5000 | 15000 |
| Processing Server and web hosting fee | Equipment | 1 | 7000 | 7000 |
| Other Expenses like Printing etc | Miscellaneous | 1 | 7650 | 7650 |