We envision a medical device that would be able to continuously monitor a patient’s blood glucose and insulin levels, instantaneously calculate the right Intravenous fluid concentrations, and continuously deliver such intravenous fluid to the patient. This same device is smart as it can be monitored by medical personnel, patients, and authorized parties remotely via handheld devices. Lastly, such connectivity will allow patients to safely stop the intravenous fluid delivery to exit the device, and allow communication between patients and the medical personnel.
In this project, we have simulated what this medical device does by creating a sample “patient”, by inputting blood glucose, insulin, and glucagon data, which would have otherwise been obtained from a live patient. Then we have programmed the Raspberry Pi so that it performs the IV infusion fluid calculation that our envisioned device would perform. To simulate the ability for medical personnel and patients to view blood content fluctuations, infused IV fluid concentrations and their effects, as well as send important requests and correspondence, we have facilitated the ability for the Raspberry Pi to communicate with Parse Cloud, from which patients and medical personnel can retrieve such data on their handheld devices.
Through these functionalities, our medical device, which we have named “Glucosystem IV”, will automate patient glucose management so that patient glucose and insulin are being controlled at a per second (“Continuous”) basis. This will create a very effective and precise treatment for hyperglycemic and diabetic patients, and the device’s automation and connectivity will take over such prevalent routine tasks such as changing insulin drip rates, performing blood tests, and etc, dramatically improving healthcare.
In this project, we have simulated what this medical device does by creating a sample “patient”, by inputting blood glucose, insulin, and glucagon data, which would have otherwise been obtained from a live patient. Then we have programmed the Raspberry Pi so that it performs the IV infusion fluid calculation that our envisioned device would perform. To simulate the ability for medical personnel and patients to view blood content fluctuations, infused IV fluid concentrations and their effects, as well as send important requests and correspondence, we have facilitated the ability for the Raspberry Pi to communicate with Parse Cloud, from which patients and medical personnel can retrieve such data on their handheld devices.
Through these functionalities, our medical device, which we have named “Glucosystem IV”, will automate patient glucose management so that patient glucose and insulin are being controlled at a per second (“Continuous”) basis. This will create a very effective and precise treatment for hyperglycemic and diabetic patients, and the device’s automation and connectivity will take over such prevalent routine tasks such as changing insulin drip rates, performing blood tests, and etc, dramatically improving healthcare.