A sensor data collection environment for clinical trials investigating health effects of airborne pollution

D. K. Arvind; C. A. Bates; D. J. Fischer; J. Mann

doi:10.1109/BHI.2018.8333376

A sensor data collection environment for clinical trials investigating health effects of airborne pollution

D. K. Arvind, C. A. Bates, D. J. Fischer, J. Mann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

This paper describes a novel environment comprising of custom-designed sensor devices for automating data collection for clinical trials investigating health effects of airborne pollution targeted at ambulatory subjects with respiratory ailments such as asthma or COPD. Custom-designed sensors estimate personal exposure to airborne particulates using a body sensor network comprising of a wearable AIRSpeck for monitoring continuously the concentration of coarse (PM₁₀) and fine (PM_2.5) airborne particulates, and the RESpeck respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A network of stationary AIRSpeck monitors with additional Nitrogen Dioxide and Ozone gas sensors complements the data collected from the personal sensors.

Original language	English
Title of host publication	2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI)
Pages	88-91
Number of pages	4
ISBN (Electronic)	978-1-5386-2405-0
DOIs	https://doi.org/10.1109/BHI.2018.8333376
Publication status	Published - 9 Apr 2018
Event	IEEE International Conference on Biomedical and Health Informatics (BHI-2018) - Treasure Island Hotel & Casino, Las Vegas, United States Duration: 4 Mar 2018 → 7 Mar 2018 https://bhi-bsn.embs.org/2018/#

Conference

Conference	IEEE International Conference on Biomedical and Health Informatics (BHI-2018)
Abbreviated title	BHI-2018
Country/Territory	United States
City	Las Vegas
Period	4/03/18 → 7/03/18
Internet address	https://bhi-bsn.embs.org/2018/#

Keywords / Materials (for Non-textual outputs)

aerosols
air pollution
biomedical measurement
body sensor networks
data analysis
diseases
gas sensors
health care
patient monitoring
pneumodynamics
smart phones
Android mobile phone
RESpeck respiratory monitor
airborne pollution
asthma
automating data collection
body sensor network
breathing flow
breathing rate
coarse airborne particulates
custom-designed sensor devices
fine airborne particulates
health effects
nitrogen dioxide gas sensor
ozone gas sensor
personal exposure
personal sensors
respiratory ailments
sensor data analytics
sensor data collection environment
stationary AIRSpeck monitors
wearable AIRSpeck
Air pollution
Batteries
Biomedical monitoring
Monitoring
Smart phones
Temperature measurement
Temperature sensors

Access to Document

10.1109/BHI.2018.8333376

https://ieeexplore.ieee.org/document/8333376/

Delhi Air Pollution: Health and Effects (DAPHNE)
Arvind, D. K. & Miller, M.
NERC
14/11/16 → 31/12/22
Project: Research

Cite this

@inproceedings{6b6c315a02924d54a6f92ae5125658b2,

title = "A sensor data collection environment for clinical trials investigating health effects of airborne pollution",

abstract = "This paper describes a novel environment comprising of custom-designed sensor devices for automating data collection for clinical trials investigating health effects of airborne pollution targeted at ambulatory subjects with respiratory ailments such as asthma or COPD. Custom-designed sensors estimate personal exposure to airborne particulates using a body sensor network comprising of a wearable AIRSpeck for monitoring continuously the concentration of coarse (PM10) and fine (PM2.5) airborne particulates, and the RESpeck respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A network of stationary AIRSpeck monitors with additional Nitrogen Dioxide and Ozone gas sensors complements the data collected from the personal sensors.",

keywords = "aerosols, air pollution, biomedical measurement, body sensor networks, data analysis, diseases, gas sensors, health care, patient monitoring, pneumodynamics, smart phones, Android mobile phone, RESpeck respiratory monitor, airborne pollution, asthma, automating data collection, body sensor network, breathing flow, breathing rate, coarse airborne particulates, custom-designed sensor devices, fine airborne particulates, health effects, nitrogen dioxide gas sensor, ozone gas sensor, personal exposure, personal sensors, respiratory ailments, sensor data analytics, sensor data collection environment, stationary AIRSpeck monitors, wearable AIRSpeck, Air pollution, Batteries, Biomedical monitoring, Monitoring, Smart phones, Temperature measurement, Temperature sensors",

author = "Arvind, {D. K.} and Bates, {C. A.} and Fischer, {D. J.} and J. Mann",

year = "2018",

month = apr,

day = "9",

doi = "10.1109/BHI.2018.8333376",

language = "English",

isbn = "978-1-5386-2406-7",

pages = "88--91",

booktitle = "2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI)",

note = "IEEE International Conference on Biomedical and Health Informatics<br/>(BHI-2018), BHI-2018 ; Conference date: 04-03-2018 Through 07-03-2018",

url = "https://bhi-bsn.embs.org/2018/#",

}

Arvind, DK , Bates, CA, Fischer, DJ & Mann, J 2018, A sensor data collection environment for clinical trials investigating health effects of airborne pollution. in 2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI). pp. 88-91, IEEE International Conference on Biomedical and Health Informatics
(BHI-2018), Las Vegas, Nevada, United States, 4/03/18. https://doi.org/10.1109/BHI.2018.8333376

TY - GEN

T1 - A sensor data collection environment for clinical trials investigating health effects of airborne pollution

AU - Arvind, D. K.

AU - Bates, C. A.

AU - Fischer, D. J.

AU - Mann, J.

PY - 2018/4/9

Y1 - 2018/4/9

N2 - This paper describes a novel environment comprising of custom-designed sensor devices for automating data collection for clinical trials investigating health effects of airborne pollution targeted at ambulatory subjects with respiratory ailments such as asthma or COPD. Custom-designed sensors estimate personal exposure to airborne particulates using a body sensor network comprising of a wearable AIRSpeck for monitoring continuously the concentration of coarse (PM10) and fine (PM2.5) airborne particulates, and the RESpeck respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A network of stationary AIRSpeck monitors with additional Nitrogen Dioxide and Ozone gas sensors complements the data collected from the personal sensors.

AB - This paper describes a novel environment comprising of custom-designed sensor devices for automating data collection for clinical trials investigating health effects of airborne pollution targeted at ambulatory subjects with respiratory ailments such as asthma or COPD. Custom-designed sensors estimate personal exposure to airborne particulates using a body sensor network comprising of a wearable AIRSpeck for monitoring continuously the concentration of coarse (PM10) and fine (PM2.5) airborne particulates, and the RESpeck respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A network of stationary AIRSpeck monitors with additional Nitrogen Dioxide and Ozone gas sensors complements the data collected from the personal sensors.

KW - aerosols

KW - air pollution

KW - biomedical measurement

KW - body sensor networks

KW - data analysis

KW - diseases

KW - gas sensors

KW - health care

KW - patient monitoring

KW - pneumodynamics

KW - smart phones

KW - Android mobile phone

KW - RESpeck respiratory monitor

KW - airborne pollution

KW - asthma

KW - automating data collection

KW - body sensor network

KW - breathing flow

KW - breathing rate

KW - coarse airborne particulates

KW - custom-designed sensor devices

KW - fine airborne particulates

KW - health effects

KW - nitrogen dioxide gas sensor

KW - ozone gas sensor

KW - personal exposure

KW - personal sensors

KW - respiratory ailments

KW - sensor data analytics

KW - sensor data collection environment

KW - stationary AIRSpeck monitors

KW - wearable AIRSpeck

KW - Air pollution

KW - Batteries

KW - Biomedical monitoring

KW - Monitoring

KW - Smart phones

KW - Temperature measurement

KW - Temperature sensors

U2 - 10.1109/BHI.2018.8333376

DO - 10.1109/BHI.2018.8333376

M3 - Conference contribution

SN - 978-1-5386-2406-7

SP - 88

EP - 91

BT - 2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI)

T2 - IEEE International Conference on Biomedical and Health Informatics<br/>(BHI-2018)

Y2 - 4 March 2018 through 7 March 2018

ER -

A sensor data collection environment for clinical trials investigating health effects of airborne pollution

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Delhi Air Pollution: Health and Effects (DAPHNE)

Cite this