An ECG Dataset Representing Real-World Signal Characteristics for Wearable Computers Conference Paper uri icon

abstract

  • 2015 IEEE. We present an ECG dataset collected in real-world scenarios for wearable devices that includes over 260 recordings of 90-210 seconds that provide guidance for designers to evaluate signal acquisition circuit and system solutions. Several variations on the signal acquisition path are demonstrated, including various sources of interference (baseline wander, motion artifacts, and power line interference), signal path variations (electrode type, coupling method, and common-mode rejection method), and electrode placements (wrist and chest). Based on detailed analysis of signal characteristics under different scenarios, analog front-end (AFE) design recommendations are proposed.

name of conference

  • 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)

published proceedings

  • 2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)

author list (cited authors)

  • Zhang, Q., Zahed, C., Nathan, V., Hall, D. A., & Jafari, R.

citation count

  • 10

complete list of authors

  • Zhang, Qingxue||Zahed, Chakameh||Nathan, Viswam||Hall, Drew A||Jafari, Roozbeh

publication date

  • October 2015