Intensive Care Unit or ICU is where the patients who are critically ill and
admitted for treatment. For such critical conditions the Doctors need to have
an all-time update patient’s health related parameters like their blood
pressure or SPO2(%), heart pulse and temperature. To do manually, this is too
tedious a task and also for multiple patients it becomes close to impossible.
For this type of situations this IOT based system can bring about an automation
that can keep the Doctors updated all time over internet.
IOT Based ICU Patient Monitoring System is used a 8 bit Microcontroller Arduino/ ATmega328 MCU which collects patient’s information with the help of few sensors. It uses ESP8266 Wifi module to communicate this information to the internet. There is Temperature, spo2 sensor and heart beat monitor module electrically connected to the system and physically to be worn by the user. On the press of button, the sensor senses the SPO2(%) along with the heart beat and sends it to the central controller. The Temperature sensor senses the temperature of its ambience, so when this sensor is in close proximity of the user it reports the users’ body temperature. Thus, the doctor can get access to these vital parameters pertaining to the patients’ health over the IOT web interface from anywhere over the world. In this way IOT Based ICU Patient Monitoring System is an enhanced system that helps in monitoring ICU Patients without any manual intervention.
This project propose a gait analysis based on wearable sensors controlled remotely in order to monitor, track and evaluate the motion gait analysis in people. The main objective of this project is to develop a LabVIEW VI for obtaining gait pattern of an individual and also provides study on different patient having abnormal gait or suffering in pain for normal gait.
based hardware simulating is developed,
which consists of FSR pressure
sensors, bending flex sensors, an
Accelerometer. The sensors are placed on various position on the
knee and ankle of both the hand and leg. The gait pattern and the digital gait
values are obtained. The gait values are monitored digitally in LCD. The
microcontroller collects the data from the sensor and sends the data to LabVIEW
software. The LabVIEW software will process the obtained signal and monitor it
in the waveform chart. The gait pattern is monitored continuously using
microcontroller. The obtained signal is transmitted to the USB Port of computer
through an USB to UART module.
This project propose a gait analysis based on wearable sensors controlled remotely in order to monitor, track and evaluate the motion gait analysis in people. The main objective of this project is to develop an Android application for obtaining gait pattern of an individual and also provides study on different patient having abnormal gait or suffering in pain for normal gait.
Smart watch is basically a wearable minicomputer or a mini smart phone in the form of a wristwatch. Smart watch provides touch screen interface, this smart watch has many potential capabilities, like message notifications, GPS navigation and calendar synchronization. Many Senior Citizens are retired and most of them suffer from major and minor health issues which affects their routine life. In order to take care of the seniors/elderly suffering from such diseases it is necessary to track their health status by regularly checking their heart rate, temperature, etc.
The purpose of this project is to design and implement a digital wireless stethoscope to serve as a platform for potential wireless diagnosis using GSM system for the detection of cardiac murmurs. The system uses a custom-built sensor to capture heart sounds at 8 kHz and converts them to electrical signals to be processed by a microcontroller and GSM module.
The proposed system design includes an Arduino family microcontroller ATMega328, LCD display, acoustic MIC and its amplifier circuits and GSM Modem interfaced. The objective is to develop a technique which makes a clear distinction between normal heart sounds and heart murmurs. The data can be analyzed by using analytic tool.