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Wireless monitoring of post-operative respiratory complications

Published: 10 October 2011 Publication History

Abstract

Respiratory complications may occur in post-operative patients but are often difficult to detect due to the lack of a well-tolerated and reliable monitoring method. We have developed a wireless accelerometer-based device that measures chest wall rotations due to breathing and has been shown to provide an accurate measure of respiratory rate in a clinical setting, when validated against rates obtained from nasal pressure. This paper describes a method for detecting instances of respiratory problems due to physical airway obstruction and central nervous system (CNS) respiratory depression using a combination of nasal pressure and chest wall rotation signals in gynaecological patients during the first night after surgery. Waxing and waning of breath amplitude and irregularity of breath length are found to be useful indicators. A clinical study involving 19 post-operative patients shows that the proposed method is able to detect and distinguish between both forms of respiratory complications.

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  • (2024)Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older AdultsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596258:2(1-35)Online publication date: 15-May-2024
  • (2015)Hygeia: A Practical and Tailored Data Collection Platform for Mobile Health2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.28(20-27)Online publication date: Aug-2015

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  1. Wireless monitoring of post-operative respiratory complications

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      cover image ACM Other conferences
      WH '11: Proceedings of the 2nd Conference on Wireless Health
      October 2011
      170 pages
      ISBN:9781450309820
      DOI:10.1145/2077546
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 10 October 2011

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      • University of California
      WH '11: Wireless Health 2011
      October 10 - 13, 2011
      California, San Diego

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      • (2024)Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older AdultsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596258:2(1-35)Online publication date: 15-May-2024
      • (2015)Hygeia: A Practical and Tailored Data Collection Platform for Mobile Health2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.28(20-27)Online publication date: Aug-2015

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