ABSTRACT
With the advancement of current electronics technology and internet access, it is now possible to obtain remote medical diagnostics and counselling. Third-world and developing countries, however, continue to face barriers to basic medical consultation and testing due to the size and cost of such medical equipment. Early assessment of patients’ cardiovascular well-being is one such medical situation where human intervention in data sharing with remote cardiologists might affect the overall efficacy for time-critical patients. In this proposed framework, an attempt has been made to automate the process of ECG data sharing among registered specialists for immediate assessment of patients’ criticality. A dedicated algorithm with computational intelligence has been developed to improve the efficacy of the assessment process that takes into consideration some of the associated critical factors. The model has been built and implemented with a low-cost, easy-to-use ECG collection system combined with a local storage server system capable of capturing and storing patient data locally. In the meantime, the intelligent routing algorithm shares the data with remote specialists for decentralized assessment considering specialists’ responsiveness to critical data, time of availability, and assessment scores. These comprehensive assessment reports received from the specialists can then be printed for the patient or e-mailed to others considering the configuration of user tag set for the system. Such a system is portable, low-cost, and easily integrated into the Android UI for improved usability over continuous internet services.
