Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors

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

doi:10.1109/BHI.2018.8333362

Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors

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 method for continuous estimation of personal dosage of airborne particulates for ambulatory subjects using a body sensor network comprising of a wearable particle counter for monitoring the concentration of airborne particulates (PM_10/2.5), and a respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly over BLE with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A security policy is described for dealing with the personal and spatially-resolved nature of the sensor data which balances feasibility with levels of privacy and security. Sample results are presented for the personal dose profile for a healthy subject in an indoor microenvironment, and a spatio-temporal dose profile for a person walking outdoors in an urban environment.

Original language	English
Title of host publication	2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI)
Pages	29-32
Number of pages	4
ISBN (Electronic)	978-1-5386-2405-0
DOIs	https://doi.org/10.1109/BHI.2018.8333362
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)

biomedical measurement
body sensor networks
cloud computing
medical computing
patient monitoring
pneumodynamics
security of data
smart phones
Android mobile phone
Google Cloud
airborne particulates
ambulatory subjects
body sensor network
breathing flow
breathing rate
personal dosage
personal dose profile
respiratory monitor
security policy
sensor data analytics
urban environment
wearable particle counter
wearable sensors
Atmospheric measurements
Biomedical monitoring
Monitoring
Particle measurements
Pollution measurement
Security
Smart phones

Access to Document

10.1109/BHI.2018.8333362

https://ieeexplore.ieee.org/document/8333362/

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

D K Arvind
- School of Informatics - Chair of Distributed Wireless Computation
- Artificial Intelligence and its Applications Institute
- Data Science and Artificial Intelligence
Person: Academic: Research Active

Cite this

@inproceedings{036caa096fad4ebf9a42e043ada50506,

title = "Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors",

abstract = "This paper describes a novel method for continuous estimation of personal dosage of airborne particulates for ambulatory subjects using a body sensor network comprising of a wearable particle counter for monitoring the concentration of airborne particulates (PM10/2.5), and a respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly over BLE with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A security policy is described for dealing with the personal and spatially-resolved nature of the sensor data which balances feasibility with levels of privacy and security. Sample results are presented for the personal dose profile for a healthy subject in an indoor microenvironment, and a spatio-temporal dose profile for a person walking outdoors in an urban environment.",

keywords = "biomedical measurement, body sensor networks, cloud computing, medical computing, patient monitoring, pneumodynamics, security of data, smart phones, Android mobile phone, Google Cloud, airborne particulates, ambulatory subjects, body sensor network, breathing flow, breathing rate, personal dosage, personal dose profile, respiratory monitor, security policy, sensor data analytics, urban environment, wearable particle counter, wearable sensors, Atmospheric measurements, Biomedical monitoring, Monitoring, Particle measurements, Pollution measurement, Security, Smart phones",

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.2018.8333362",

language = "English",

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

pages = "29--32",

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, Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors. in 2018 IEEE EMBS International Conference on Biomedical Health Informatics (BHI). pp. 29-32, IEEE International Conference on Biomedical and Health Informatics
(BHI-2018), Las Vegas, Nevada, United States, 4/03/18. https://doi.org/10.1109/BHI.2018.8333362

TY - GEN

T1 - Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors

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 method for continuous estimation of personal dosage of airborne particulates for ambulatory subjects using a body sensor network comprising of a wearable particle counter for monitoring the concentration of airborne particulates (PM10/2.5), and a respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly over BLE with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A security policy is described for dealing with the personal and spatially-resolved nature of the sensor data which balances feasibility with levels of privacy and security. Sample results are presented for the personal dose profile for a healthy subject in an indoor microenvironment, and a spatio-temporal dose profile for a person walking outdoors in an urban environment.

AB - This paper describes a novel method for continuous estimation of personal dosage of airborne particulates for ambulatory subjects using a body sensor network comprising of a wearable particle counter for monitoring the concentration of airborne particulates (PM10/2.5), and a respiratory monitor worn as a patch on the chest for recording breathing rate and flow. Both the devices communicate wirelessly over BLE with an Android mobile phone which serves as a gateway to Google Cloud for storage, and sensor data analytics. A security policy is described for dealing with the personal and spatially-resolved nature of the sensor data which balances feasibility with levels of privacy and security. Sample results are presented for the personal dose profile for a healthy subject in an indoor microenvironment, and a spatio-temporal dose profile for a person walking outdoors in an urban environment.

KW - biomedical measurement

KW - body sensor networks

KW - cloud computing

KW - medical computing

KW - patient monitoring

KW - pneumodynamics

KW - security of data

KW - smart phones

KW - Android mobile phone

KW - Google Cloud

KW - airborne particulates

KW - ambulatory subjects

KW - body sensor network

KW - breathing flow

KW - breathing rate

KW - personal dosage

KW - personal dose profile

KW - respiratory monitor

KW - security policy

KW - sensor data analytics

KW - urban environment

KW - wearable particle counter

KW - wearable sensors

KW - Atmospheric measurements

KW - Biomedical monitoring

KW - Monitoring

KW - Particle measurements

KW - Pollution measurement

KW - Security

KW - Smart phones

U2 - 10.1109/BHI.2018.8333362

DO - 10.1109/BHI.2018.8333362

M3 - Conference contribution

SN - 978-1-5386-2406-7

SP - 29

EP - 32

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 -

Spatially-resolved estimation of personal dosage of airborne particulates for ambulatory subjects using wearable sensors

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Delhi Air Pollution: Health and Effects (DAPHNE)

Profiles

D K Arvind

Cite this