@inproceedings{JRaden:CHASE2020,
  author = {Kulau, Ulf and Clausen, Thiemo and Jura, Tobias and J{\"a}hne-Raden, Nico and Wolf, Marie and Wolf, Lars},
  title = {A Precise, Parallel and Scalable Measurement System for Ballistocardiographic Research},
  booktitle = {The 5th International Conference on Connected Health: Applications, Systems and Engineering Technologies},
  series = {IEEE/ACM CHASE 2020},
  year = {2020},
  month = dec,
  days={},
  location = {Washington, D.C., USA},
  ibrauthors="clausen kulau wolf",
  ibrgroups="cm",
  ibrprojects="bcg",
  abstract = {Ballistocardiography (BCG) is the measurement of heart and cardiovascular related acceleration of the body. Due to the availability of inexpensive and small accelerometers, scientific interest in BCG increased in recent years. A variety of different measurement systems have emerged. Many of them lack on data quality, such as resolution and temporal precision. A deterministic timing behaviour is essential to produce meaningful results, especially when dealing with data from multiple sensors at once. We present a novel measurement system, which allows for parallel digital data acquisition in the presence of strict deterministic timing constraints. A dedicated server manages multiple measurement boards and acts as a data sink. All connected boards are synchronized, which renders all acquired data comparable in time. On each board, data from 4 parallel channels is pre-processed and timestamped in Field Programmable Gate Array logic. The presented system enables distributed measurements and is scalable within the limitations of the available network. A field test with over 30 subjects proved the usability and reliability of the system, while first results of this campaign are presented within this paper.}
}