Towards data-driven pre-operative evaluation of lung cancer patients: The case of smart mask

Brianna Myers, Jaskaran Atwal Nahal, Chai Yang, Lisa M Brown, Soheil Ghiasi, Andre Knoesen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have a resectable tumor, however, their cardiopulmonary function needs to be properly evaluated before they are deemed operative candidates. Pulmonary function is assessed via spirometry and diffusion capacity. If these are below a certain threshold, cardiopulmonary exercise testing (CPET) is recommended. CPET is expensive, labor intensive, and sometimes ineffective since the patient is unable to fully participate due to comorbidities, such as limited mobility. In addition, CPET is done using a set of physical activities that may or may not be relevant to the patient's typical activities. This paper presents steps towards developing a solution to address this gap. Specifically, we present OOCOO, a mobile mask system designed to measure oxygen and carbon dioxide levels in respiration, as well as activity levels. Unlike state of practice, oxygen, carbon dioxide, and activity data can be continuously measured over a long period of time in the patient's environment of choice. The mask is capable of wireless data transfer to commodity smartphones. We have carried out initial work on development of an Android application to capture, analyze, and share the data with authorized entities.

Original languageEnglish (US)
Title of host publication2016 IEEE Wireless Health, WH 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages143-148
Number of pages6
ISBN (Electronic)9781509030903
DOIs
StatePublished - Dec 1 2016
Event2016 IEEE Wireless Health, WH 2016 - Bethesda, United States
Duration: Oct 25 2016Oct 27 2016

Other

Other2016 IEEE Wireless Health, WH 2016
CountryUnited States
CityBethesda
Period10/25/1610/27/16

Fingerprint

Masks
Lung Neoplasms
Exercise
Carbon dioxide
Testing
Carbon Dioxide
Oxygen
Smartphones
Data transfer
Tumors
Spirometry
Personnel
Comorbidity
Cause of Death
Neoplasms
Respiration
Lung

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health Informatics
  • Health Information Management

Cite this

Myers, B., Nahal, J. A., Yang, C., Brown, L. M., Ghiasi, S., & Knoesen, A. (2016). Towards data-driven pre-operative evaluation of lung cancer patients: The case of smart mask. In 2016 IEEE Wireless Health, WH 2016 (pp. 143-148). [7764569] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WH.2016.7764569

Towards data-driven pre-operative evaluation of lung cancer patients : The case of smart mask. / Myers, Brianna; Nahal, Jaskaran Atwal; Yang, Chai; Brown, Lisa M; Ghiasi, Soheil; Knoesen, Andre.

2016 IEEE Wireless Health, WH 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 143-148 7764569.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Myers, B, Nahal, JA, Yang, C, Brown, LM, Ghiasi, S & Knoesen, A 2016, Towards data-driven pre-operative evaluation of lung cancer patients: The case of smart mask. in 2016 IEEE Wireless Health, WH 2016., 7764569, Institute of Electrical and Electronics Engineers Inc., pp. 143-148, 2016 IEEE Wireless Health, WH 2016, Bethesda, United States, 10/25/16. https://doi.org/10.1109/WH.2016.7764569
Myers B, Nahal JA, Yang C, Brown LM, Ghiasi S, Knoesen A. Towards data-driven pre-operative evaluation of lung cancer patients: The case of smart mask. In 2016 IEEE Wireless Health, WH 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 143-148. 7764569 https://doi.org/10.1109/WH.2016.7764569
Myers, Brianna ; Nahal, Jaskaran Atwal ; Yang, Chai ; Brown, Lisa M ; Ghiasi, Soheil ; Knoesen, Andre. / Towards data-driven pre-operative evaluation of lung cancer patients : The case of smart mask. 2016 IEEE Wireless Health, WH 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 143-148
@inproceedings{ae36ad13145849f69e368b0d1826e434,
title = "Towards data-driven pre-operative evaluation of lung cancer patients: The case of smart mask",
abstract = "Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have a resectable tumor, however, their cardiopulmonary function needs to be properly evaluated before they are deemed operative candidates. Pulmonary function is assessed via spirometry and diffusion capacity. If these are below a certain threshold, cardiopulmonary exercise testing (CPET) is recommended. CPET is expensive, labor intensive, and sometimes ineffective since the patient is unable to fully participate due to comorbidities, such as limited mobility. In addition, CPET is done using a set of physical activities that may or may not be relevant to the patient's typical activities. This paper presents steps towards developing a solution to address this gap. Specifically, we present OOCOO, a mobile mask system designed to measure oxygen and carbon dioxide levels in respiration, as well as activity levels. Unlike state of practice, oxygen, carbon dioxide, and activity data can be continuously measured over a long period of time in the patient's environment of choice. The mask is capable of wireless data transfer to commodity smartphones. We have carried out initial work on development of an Android application to capture, analyze, and share the data with authorized entities.",
author = "Brianna Myers and Nahal, {Jaskaran Atwal} and Chai Yang and Brown, {Lisa M} and Soheil Ghiasi and Andre Knoesen",
year = "2016",
month = "12",
day = "1",
doi = "10.1109/WH.2016.7764569",
language = "English (US)",
pages = "143--148",
booktitle = "2016 IEEE Wireless Health, WH 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Towards data-driven pre-operative evaluation of lung cancer patients

T2 - The case of smart mask

AU - Myers, Brianna

AU - Nahal, Jaskaran Atwal

AU - Yang, Chai

AU - Brown, Lisa M

AU - Ghiasi, Soheil

AU - Knoesen, Andre

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have a resectable tumor, however, their cardiopulmonary function needs to be properly evaluated before they are deemed operative candidates. Pulmonary function is assessed via spirometry and diffusion capacity. If these are below a certain threshold, cardiopulmonary exercise testing (CPET) is recommended. CPET is expensive, labor intensive, and sometimes ineffective since the patient is unable to fully participate due to comorbidities, such as limited mobility. In addition, CPET is done using a set of physical activities that may or may not be relevant to the patient's typical activities. This paper presents steps towards developing a solution to address this gap. Specifically, we present OOCOO, a mobile mask system designed to measure oxygen and carbon dioxide levels in respiration, as well as activity levels. Unlike state of practice, oxygen, carbon dioxide, and activity data can be continuously measured over a long period of time in the patient's environment of choice. The mask is capable of wireless data transfer to commodity smartphones. We have carried out initial work on development of an Android application to capture, analyze, and share the data with authorized entities.

AB - Lung cancer is the number one cause of cancer deaths. Many early stage lung cancer patients have a resectable tumor, however, their cardiopulmonary function needs to be properly evaluated before they are deemed operative candidates. Pulmonary function is assessed via spirometry and diffusion capacity. If these are below a certain threshold, cardiopulmonary exercise testing (CPET) is recommended. CPET is expensive, labor intensive, and sometimes ineffective since the patient is unable to fully participate due to comorbidities, such as limited mobility. In addition, CPET is done using a set of physical activities that may or may not be relevant to the patient's typical activities. This paper presents steps towards developing a solution to address this gap. Specifically, we present OOCOO, a mobile mask system designed to measure oxygen and carbon dioxide levels in respiration, as well as activity levels. Unlike state of practice, oxygen, carbon dioxide, and activity data can be continuously measured over a long period of time in the patient's environment of choice. The mask is capable of wireless data transfer to commodity smartphones. We have carried out initial work on development of an Android application to capture, analyze, and share the data with authorized entities.

UR - http://www.scopus.com/inward/record.url?scp=85011076179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85011076179&partnerID=8YFLogxK

U2 - 10.1109/WH.2016.7764569

DO - 10.1109/WH.2016.7764569

M3 - Conference contribution

AN - SCOPUS:85011076179

SP - 143

EP - 148

BT - 2016 IEEE Wireless Health, WH 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -