Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system

@article{Belal2002AutomaticDO,
  title={Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system},
  author={Suliman Yousef Belal and Azzam Fouad George Taktak and Andrew John Nevill and Stephen Andrew Spencer and David Roden and Sharon Bevan},
  journal={Artificial intelligence in medicine},
  year={2002},
  volume={24 2},
  pages={149-65}
}
Despite the fact that pulse oximetry has become an essential technology in respiratory monitoring of neonates and paediatric patients, it is still fraught with artefacts causing false alarms resulting from patient or probe movement. As the shape of the plethysmogram has always been considered as a useful visual indicator for determining the reliability of SaO(2) numerical readings, automation of this observation might benefit health care providers at the bedside. We observed that the systolic… CONTINUE READING

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