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@MISC{Stollenwerk:861640,
      author       = {Stollenwerk, André and Derks, Andreas},
      title        = {{ASMO}: a decentralized and verifiable interoperability
                      platform in intensive care; 2.1},
      address      = {Aachen},
      reportid     = {RWTH-2023-00139},
      year         = {2023},
      abstract     = {This publication contains the printed circuit board (PCB)
                      layout files for a decentralized and verifiable
                      interoperability platform in intensive care. The files are
                      stored in the format of Autodesk EAGLE Version 9. Most of
                      the other PCB layout design software is also able to read
                      this format. (However, the format is XML-based, which makes
                      it on a basic text level interpretable). There are two
                      files. The .sch file gives the schematic, which is the
                      description of the interconnection of the different parts of
                      the circuit. Here the focus lies on readability. The second
                      file (namely the .brd file) is one concrete implementation
                      of the given schematic. On the one hand this board file can
                      be used to rebuild the presented interoperability platform
                      but on the other it can also be used to adopt the platform
                      to their very specific needs. <br/> This platform is
                      motivated by the need for interconnected medical devices,
                      which enable new therapies and automate existing ones.
                      Following this approach, we can identify two challenges:
                      Interoperability and Verifiability. Due to various
                      manufacturers and interfaces, interoperability is often not
                      directly possible but needs to be enabled with the help of
                      auxiliary hardware. Addressing the demand for safety of the
                      interconnected medical application, verifiability is
                      essential and depends, among other aspects, on the
                      complexity of the system, which is increasing with the
                      dimension of interconnected devices. However, many of the
                      state-of-the-art medical hardware platforms neglect this
                      need for verifiability. They often rely on a centralized
                      unit, running a Linux operating system containing e.g.,
                      closed source libraries. Therefore, in this publication we
                      present the ASMO hardware platform, which provides various
                      interfaces to enable interoperability. The abbreviation ASMO
                      is based on the Greek expression for safe translation
                      (άσϕαλής μετασχηματίζω). Additionally,
                      in the architecture using the proposed hardware, the
                      workload is distributed such that the complexity of each
                      unit can be reduced, which is beneficial for the
                      verification of the used algorithms, without reducing the
                      overall processing capabilities. Each ASMO board is based on
                      a STM32F767ZI microcontroller, which offers enough
                      computational power to perform embedded machine learning. By
                      running a low-level real-time operating system, the
                      verifiability can be further preserved, and abstraction
                      layers are available to easily upgrade the interconnected
                      medical setup if a device needs to be introduced. Thanks to
                      the modular design of the ASMO board and the publicly
                      available layout, it can even be adapted to meet new
                      requirements like custom protocols or interfaces. <br/> The
                      presented platform was initially developed in the context of
                      the dissertation of André Stollenwerk. This first version
                      was using an Atmel AT91SAM7 microcontroller. Being inspired
                      by an evaluation-board for this microcontroller, which was
                      used in the first experiments, a platform suitable for agile
                      biomedical applications was developed. The use-case was the
                      automated control of an ECMO in conjunction with the
                      mechanical ventilation. This version 1 of the board
                      exclusively offered CAN as communication interface to
                      interconnect the different nodes of the resulting setup.
                      Until 2020 the existing platform was used in three
                      additional projects. In 2020 it was ported to the
                      STM32F767ZI microcontroller as version 2 of the design. The
                      porting to the STM microcontroller, among other things,
                      introduced ethernet as an additional communication interface
                      for interconnection. Ongoing from Version 2 in the presented
                      Version 2.1 some minor design issues were addressed.},
      cin          = {122810},
      cid          = {$I:(DE-82)122810_20140620$},
      pnm          = {DFG project 224967929 - Kooperierende Regelung von
                      extrakorporaler Lungenunterstützung und Beatmung für die
                      Therapie des Lungenversagens (ECLA-VENT) (224967929) /
                      BMBF-031L0134B - Alternativmethoden - Verbund: AutoMock -
                      Entwicklung eines vollautomatisierten in vitro Teststands
                      (Mock Loop) - Ein künstlicher Kreislauf als Ersatzmethode
                      zur Biokompatibilitätstestung von Membranoxygenatoren und
                      zur Transplantationssimulation (BMBF-031L0134B)},
      pid          = {G:(GEPRIS)224967929 / G:(DE-82)BMBF-031L0134B},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.18154/RWTH-2023-00139},
      url          = {https://publications.rwth-aachen.de/record/861640},
}