Project Scope
Our project consists of designing software – called MobileDoctor – that will be a smartphone bioelectric body monitor. It will consist of a program that analyzes collected ECG data and displays diagnoses on a smartphone.
This software could be paired with a wearable device that contains several electrodes capable of sensing and recording bioelectrical signals from the surface of a patient. The data would be wirelessly transmitted via Bluetooth to the smartphone. Software on the smartphone would then analyze the electrical signals recorded by the electrodes to determine whether or not the patient has a particular disease. Targeted diseases will be those that can be diagnosed in an outpatient setting.
Software Specifics
The software must analyze signal data to determine if there is an abnormality. The code must be able to be easily edited, such that new diseases for diagnosis can be added to the software. It must also be able to be adopted into a smartphone app. Android will be used for the smartphone platform due tits low barriers of entry (unlike the iPhone, it does not require special hardware to be included in devices that interact with it). The output diagnosis must be straightforward enough for the patient to comprehend without assistance from a medical professional.
After the diagnosis has been made, the patient will be given the option of forwarding the results to their local emergency healthcare facility or primary care physician, with a recommendation as to its necessity.
This software could be paired with a wearable device that contains several electrodes capable of sensing and recording bioelectrical signals from the surface of a patient. The data would be wirelessly transmitted via Bluetooth to the smartphone. Software on the smartphone would then analyze the electrical signals recorded by the electrodes to determine whether or not the patient has a particular disease. Targeted diseases will be those that can be diagnosed in an outpatient setting.
Software Specifics
The software must analyze signal data to determine if there is an abnormality. The code must be able to be easily edited, such that new diseases for diagnosis can be added to the software. It must also be able to be adopted into a smartphone app. Android will be used for the smartphone platform due tits low barriers of entry (unlike the iPhone, it does not require special hardware to be included in devices that interact with it). The output diagnosis must be straightforward enough for the patient to comprehend without assistance from a medical professional.
After the diagnosis has been made, the patient will be given the option of forwarding the results to their local emergency healthcare facility or primary care physician, with a recommendation as to its necessity.