8th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

A Lightweight High Capacity ECG Watermark with Protection against Data Loss

  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.254931,
        author={Arezou Soltani Panah and Ron van Schyndel},
        title={A Lightweight High Capacity ECG Watermark with Protection against Data Loss},
        proceedings={8th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ICST},
        proceedings_a={PERVASIVEHEALTH},
        year={2014},
        month={7},
        keywords={digital watermarking electrocardiogram signal fragile watermark robust watermark wireless body sensor network graceful degradation},
        doi={10.4108/icst.pervasivehealth.2014.254931}
    }
    
  • Arezou Soltani Panah
    Ron van Schyndel
    Year: 2014
    A Lightweight High Capacity ECG Watermark with Protection against Data Loss
    PERVASIVEHEALTH
    ACM
    DOI: 10.4108/icst.pervasivehealth.2014.254931
Arezou Soltani Panah1,*, Ron van Schyndel1
  • 1: RMIT University - School of Computer Science and IT
*Contact email: arezou.soltanipanah@rmit.edu.au

Abstract

Wireless Body Sensor Networks are used for pervasive health monitoring and often composed of a large number of sensors communicating over wireless connections. The wireless nature of WBSN poses challenges in terms of security and reliability since sensory data are vulnerable to interception, intrusion and modifications. Moreover, there are ergonomic limitations such as size and weight on wearable sensors that restrict their computational power. In this paper, we propose a variation of the Wong algorithm used in digital watermarking that is suitable for implementation on simple devices with limited processing capabilities and protects data from tampering between point of origin, which could be a wearable sensor, and the point of distribution which might be a Smartphone. At the same time, the watermark has the advantage to detect and accurately localize degraded data and could rapidly recover after data loss.