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10.1109/TBCAS.2020.3020702

http://scihub22266oqcxt.onion/10.1109/TBCAS.2020.3020702
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32870799!8545031!32870799
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suck abstract from ncbi


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pmid32870799      IEEE+Trans+Biomed+Circuits+Syst 2020 ; 14 (5): 1088-1096
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  • Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm #MMPMID32870799
  • Corey RM; Widloski EM; Null D; Ricconi B; Johnson MA; White KC; Amos JR; Pagano A; Oelze ML; Switzky RD; Wheeler MB; Bethke EB; Shipley CF; Singer AC
  • IEEE Trans Biomed Circuits Syst 2020[Oct]; 14 (5): 1088-1096 PMID32870799show ga
  • In response to anticipated shortages of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycled pneumatic ventilators, which are easy to produce but often do not include the sensing or alarm features found on commercial ventilators. This work reports a low-cost, easy-to-produce electronic sensor and alarm system for pressure-cycled ventilators that estimates clinically useful metrics such as pressure and respiratory rate and sounds an alarm when the ventilator malfunctions. A low-complexity signal processing algorithm uses a pair of nonlinear recursive envelope trackers to monitor the signal from an electronic pressure sensor connected to the patient airway. The algorithm, inspired by those used in hearing aids, requires little memory and performs only a few calculations on each sample so that it can run on nearly any microcontroller.
  • |*Clinical Alarms[MESH]
  • |*Signal Processing, Computer-Assisted[MESH]
  • |*Ventilators, Mechanical[MESH]
  • |Algorithms[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*therapy[MESH]
  • |Electronics[MESH]
  • |Equipment Design[MESH]
  • |Humans[MESH]
  • |Monitoring, Physiologic/*instrumentation[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*therapy[MESH]
  • |Respiration[MESH]
  • |Respiration, Artificial/*instrumentation[MESH]


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