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This research presents a novel approach for secure transmission of ECG data in telehealth applications while safeguarding patient privacy through wavelet-based encryption methods. Enhancing transmission efficiency and data security for patient-centric care.
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A Wevelet based Secured ECG Distribution Technique for Patient Centric Approach Fahim Sufi, Seedahmed Mahmoud, Ibrahim Khalil Medical Devices and Biosensors, 2008. ISSS-MDBS 2008
Introduction • Electrocardiogram (ECG) provides detail condition of the heart of a cardiac patient. • When ECG is transmitted for remote telehealth application, it is susceptible to patient’s privacy.
Introduction • The traditional solution of solve the patient’s privacy is to send patient identifier (not patient name) along with the ECG signal. • However, recent research in patient identification with the ECG signal has successfully established ECG as a biometric entity. • A single ECG signal without any patient name will release bot cardiovascular details and person identification.
Introduction • This paper proposed a secured ECG distribution architecture based on wavelet decomposition of ECG. • It proposed two methods of ECG encryption and distribution for a patient centric telehealth application.
Conclusion • They employed two methods of wavelet based ECG encryption technique, for the first time. • This paper provides faster ECG transmission by achieving a high compression ratio of up to 2.81.
