IoT Based Automated Paralysis Patient Healthcare System using Arduino and GSM
Summary
TLDRSVS Embedded presents an IoT-based automated health care system for paralysis patients using Arduino and GSM GPRS modem. The system monitors vitals like temperature, ECG, and detects falls, with alerts sent via SMS and email. It integrates sensors for body temperature, ECG, and fall detection, and a voice module for patient requests. Data is sent to a server for health tracking, enhancing patient care with real-time monitoring and alerts.
Takeaways
- 🤖 The project is an IoT-based automated healthcare system for paralysis patients, using Arduino and GSM/GPRS modem.
- 🌡️ The system monitors patient health, including temperature, ECG, and fall detection, sending SMS and email alerts.
- 📱 It uses a web page to track patient data and provide real-time updates.
- 🧠 The system is built using an ATmega2560 Arduino board, and incorporates 7 sensors including ECG, LM35 temperature sensor, and ADXL 335 for fall detection.
- 🔊 Voice alerts are generated through an APR33A3 voice module and speaker, with pre-recorded messages for patient needs (e.g., food, water, or help).
- 📧 Alerts are sent via both SMS and email when certain thresholds are met, such as changes in temperature or detected falls.
- 🛠️ The system uses various components like 5V power supply, rectifiers, and an LCD for displaying sensor data.
- 📡 The GSM SIM800L GPRS module is used to transmit data to a server and send alerts via an Airtel 4G SIM card.
- 🩺 Each sensor input triggers different actions, like sending voice alerts, SMS, and updating the server with health data.
- 🔧 The system also has voice responses based on finger movements, such as 'I need water,' 'I need food,' or 'I need to go to the washroom,' which are linked to specific sensors.
Q & A
What is the project title mentioned in the script?
-The project title mentioned is 'IoT based Automated Paralysis Patient Health Care System'.
Which technologies are used in the project?
-The project utilizes Arduino, GSM GPRS modem, and IoT web page technologies.
What types of sensors are integrated into the system?
-The system integrates an ECG sensor, LM35 body temperature sensor, ADXL 335 body fault detection sensor, and four flux sensors.
What kind of alerts does the system provide in case of abnormal readings?
-The system provides SMS and email alerts for abnormal readings such as temperature fall detection and body fault detection.
What is the purpose of the voice module in the project?
-The voice module is used to provide voice alerts for the patient's needs such as help, food, washroom access, and medication.
Which Arduino board is used in the project?
-The project uses the Arduino Mega 2560 board.
How does the system handle the voice input from the patient?
-The system uses an APR 3A3 voice module to record and playback the patient's voice inputs.
What is the role of the GSM SIM 800L GPRS module in the project?
-The GSM SIM 800L GPRS module is used to send data to the server using a 4G SIM card.
How does the system update the server with the patient's health data?
-The system updates the server with the patient's health data by sending the readings from the sensors to the 'patienthealth.co.10' server.
What are the specific ADC channels assigned to the sensors?
-The ADC channels are assigned as follows: LM35 temperature sensor to ADC 0, ADXL 335 to ADC 1, ECG sensor to ADC 3, and flux sensors 1 to 4 to ADC 4, ADC 5, ADC 6, and ADC 7 respectively.
How does the system respond to a fall detection?
-Upon detecting a fall, the system sends both SMS and email alerts, and also activates a voice alert.
Outlines
This section is available to paid users only. Please upgrade to access this part.
Upgrade NowMindmap
This section is available to paid users only. Please upgrade to access this part.
Upgrade NowKeywords
This section is available to paid users only. Please upgrade to access this part.
Upgrade NowHighlights
This section is available to paid users only. Please upgrade to access this part.
Upgrade NowTranscripts
This section is available to paid users only. Please upgrade to access this part.
Upgrade NowBrowse More Related Video
Mendapatkan Hasil Terbaik dengan Pemantauan Makanan Berbasis IoT
Development of a cloud-based IoT system for livestock health monitoringusing AWS and python - K2
Pertanian Terpadu Berbasis IoT dan Machine Learning untuk Pengoptimalan Hasil Pertanian
UTM - IoT Monitoring dan Kendali Menggunakan ThingSpeak dan Telegram
Pengkodean dalam pengembangan sistem informasi Rumah Sakit
Digitalisasi Kandang Ayam Pintar Berbasis Internet of Things (IoT) di Kaltim (KedaiReka 2022)
5.0 / 5 (0 votes)