Embedded Sensor Systems for Health in Home Healthcare

Author:

Lindén Maria1,Björkman Mats1,Duboy Miguel Ángel Valero2

Affiliation:

1. Mälardalen University, Sweden

2. Universidad Politécnica de Madrid, Spain

Abstract

Publisher

IGI Global

Reference45 articles.

1. Abbaspour, S., Gholamhosseini, H., & Linden, M. (2014). Evaluation of Wavelet Based Methods in Removing Motion Artifact from ECG Signal. The 16th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics & 10th Medicinteknikdagarna. Academic Press.

2. Abbaspour, S., Linden, M., & Gholamhosseini, H. (2015). ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA. In Proceedings of the conference pHealth 2015 (12th International Conference on Wearable Micro and Nano Technologies for Personalized Health). Academic Press.

3. Åkerberg, A., Söderlund, A., & Lindén, M. (2014). Accuracy in pedometers: Dependent on the technology for measurement? Proceedings of the conference pHealth 2014 (11th International Conference on Wearable Micro and Nano Technologies for Personalized Health). Academic Press.

4. Al Ameen, Liu, & Kwak. (2012). Security and privacy issues in wireless sensor networks for healthcare applications. Journal of Medical Systems, 36(1), 93-101.

5. Telemedicine in Australia. 1: The health-care system and the development of telemedicine.;M.Alexander;Telemed Telecare,1995

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