Personalized Reduced 3-Lead System formation methodology for Remote Health Monitoring Applications and Reconstruction of Standard 12-Lead system


  • Sidharth Maheshwari Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India.
  • Amit Acharyya
  • Michele Schiariti
  • Paolo Emilio Puddu



Reduced Lead system, Standard 12-lead system, PCA, Lead recontruction, Remote Health Monitoring


Remote Health Monitoring (RHM) applications encounter limitations from technological front viz. bandwidth, storage and transmission time and the medical science front i.e. usage of 2-3 lead systems instead of the standard 12-lead (S12) system. Technological limitations constraint the number of leads to 2-3 while cardiologists accustomed with 12-Lead ECG may find these 2-3 lead systems insufficient for diagnosis. Thus, the aforementioned limitations pose self-contradicting challenges for RHM. A personalized reduced 2/3 lead system is required which can offer equivalent information as obtained in S12 system, thus, S12 system can be accurately reconstructed from the reduced system for diagnosis.

In this paper, we propose a personalized reduced 3-lead (R3L) system formation methodology which employs principal component analysis, thereby, reducing redundancy and increasing SNR ratio, hence, making it suitable for wireless transmission. Accurate S12 system is made available using personalized lead reconstruction methodology, thereby, addressing medical constraints. Mean R2 statistics values obtained for reconstruction S12 system from the proposed R3L system using PhysioNet’s PTB and TWA databases were 95.63% and 96.37% respectively. To substantiate the superior diagnostic quality of reconstructed leads, root mean square error (RMSE) metrics obtained upon comparing the ECG features extracted from the original and reconstructed leads, using our recently proposed Time Domain Morphology and Gradient (TDMG) algorithm, have been analyzed and discussed. The proposed system does not require any extra electrode or modification in placement positions and hence, can readily find application in computerized ECG machines.

Author Biography

Sidharth Maheshwari, Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India.

Assistant Professor, Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India.


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