title: A low-rank matrix recovery approach for energy efficient EEG acquisition for a wireless body area network.
abstract: We address the problem of acquiring and transmitting EEG signals in Wireless Body Area Networks (WBAN) in an energy efficient fashion. In WBANs, the energy is consumed by three operations: sensing (sampling), processing and transmission. Previous studies only addressed the problem of reducing the transmission energy. For the first time, in this work, we propose a technique to reduce sensing and processing energy as well: this is achieved by randomly under-sampling the EEG signal. We depart from previous Compressed Sensing based approaches and formulate signal recovery (from under-sampled measurements) as a matrix completion problem. A new algorithm to solve the matrix completion problem is derived here. We test our proposed method and find that the reconstruction accuracy of our method is significantly better than state-of-the-art techniques; and we achieve this while saving sensing, processing and transmission energy. Simple power analysis shows that our proposed methodology consumes considerably less power compared to previous CS based techniques.
authors.affiliation: Indraprastha Institute of Information Technology, Delhi 110020, India. angshul@iiitd.ac.in.
authors.forename: Angshul
authors.initials: A
authors.lastname: Majumdar
authors.affiliation: Indraprastha Institute of Information Technology, Delhi 110020, India. anupriya@iiitd.ac.in.
authors.forename: Anupriya
authors.initials: A
authors.lastname: Gogna
authors.affiliation: Department of Electrical and Computer Engineering, University of British Columbia, Vancouver V6T1Z4, Canada. rababw@ece.ubc.ca.
authors.forename: Rabab
authors.initials: R
authors.lastname: Ward
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation*; D044962:Data Compression / Q000379:methods*; D011211:Electric Power Supplies; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D004735:Energy Transfer; D004867:Equipment Design; D019544:Equipment Failure Analysis; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation*