Abstract
We envision unmanned aerial vehicles (UAV) for rapid evacuation of critically-ill patients from hazardous locations to health care facilities in safe zones. For safety, medical teams accompany patients to monitor vital signs and titrate anesthesia dose during transport. UAV transports would require continuous automated remote monitoring of both vital signs and of sedative dose to be feasible and safe. Volatile anesthetics (isoflurane) are the only anesthetic agents that can be monitored continuously with infrared spectroscopy (IR) devices; but unsuitable for transport. Our objective is to devise a safe UAV transport protocol incorporating novel technology for gas monitoring. Our group has developed and tested a miniaturized wearable fuel cell sensor that can detect isoflurane gas vapors as low as 40 ppm (within therapeutic range) with a sensitivity of 0.0112 nA ppm−1 cm−2. Ambient signal interference was resolved by principal component analysis (PCA). Data variance of 1st and 2nd principal components was 88.68% and 11.31%, respectively. The PCA regression model reported here can determine accurate Isoflurane concentrations. Electronic IoT platform has been built constituting micro-fuel cell, miniaturized electronic components with Bluetooth. This wearable sensor can be incorporated into a comprehensive life support system for casualty evacuation in conjunction with autonomous UAV emergency medical operations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | B3071-B3077 |
| Journal | Journal of the Electrochemical Society |
| Volume | 165 |
| Issue number | 8 |
| DOIs | |
| State | Published - Jan 1 2018 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Renewable Energy, Sustainability and the Environment
- Condensed Matter Physics
- Surfaces, Coatings and Films
- Electrochemistry
- Materials Chemistry
Cite this
A model for safe transport of critical patients in unmanned drones with a ‘watch’ style continuous anesthesia sensor. / Jalal, Ahmed Hasnain; Umasankar, Yogeswaran; Fraker, Christopher; Pretto, Ernesto; Bhansali, Shekhar.
In: Journal of the Electrochemical Society, Vol. 165, No. 8, 01.01.2018, p. B3071-B3077.Research output: Contribution to journal › Article
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TY - JOUR
T1 - A model for safe transport of critical patients in unmanned drones with a ‘watch’ style continuous anesthesia sensor
AU - Jalal, Ahmed Hasnain
AU - Umasankar, Yogeswaran
AU - Fraker, Christopher
AU - Pretto, Ernesto
AU - Bhansali, Shekhar
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We envision unmanned aerial vehicles (UAV) for rapid evacuation of critically-ill patients from hazardous locations to health care facilities in safe zones. For safety, medical teams accompany patients to monitor vital signs and titrate anesthesia dose during transport. UAV transports would require continuous automated remote monitoring of both vital signs and of sedative dose to be feasible and safe. Volatile anesthetics (isoflurane) are the only anesthetic agents that can be monitored continuously with infrared spectroscopy (IR) devices; but unsuitable for transport. Our objective is to devise a safe UAV transport protocol incorporating novel technology for gas monitoring. Our group has developed and tested a miniaturized wearable fuel cell sensor that can detect isoflurane gas vapors as low as 40 ppm (within therapeutic range) with a sensitivity of 0.0112 nA ppm−1 cm−2. Ambient signal interference was resolved by principal component analysis (PCA). Data variance of 1st and 2nd principal components was 88.68% and 11.31%, respectively. The PCA regression model reported here can determine accurate Isoflurane concentrations. Electronic IoT platform has been built constituting micro-fuel cell, miniaturized electronic components with Bluetooth. This wearable sensor can be incorporated into a comprehensive life support system for casualty evacuation in conjunction with autonomous UAV emergency medical operations.
AB - We envision unmanned aerial vehicles (UAV) for rapid evacuation of critically-ill patients from hazardous locations to health care facilities in safe zones. For safety, medical teams accompany patients to monitor vital signs and titrate anesthesia dose during transport. UAV transports would require continuous automated remote monitoring of both vital signs and of sedative dose to be feasible and safe. Volatile anesthetics (isoflurane) are the only anesthetic agents that can be monitored continuously with infrared spectroscopy (IR) devices; but unsuitable for transport. Our objective is to devise a safe UAV transport protocol incorporating novel technology for gas monitoring. Our group has developed and tested a miniaturized wearable fuel cell sensor that can detect isoflurane gas vapors as low as 40 ppm (within therapeutic range) with a sensitivity of 0.0112 nA ppm−1 cm−2. Ambient signal interference was resolved by principal component analysis (PCA). Data variance of 1st and 2nd principal components was 88.68% and 11.31%, respectively. The PCA regression model reported here can determine accurate Isoflurane concentrations. Electronic IoT platform has been built constituting micro-fuel cell, miniaturized electronic components with Bluetooth. This wearable sensor can be incorporated into a comprehensive life support system for casualty evacuation in conjunction with autonomous UAV emergency medical operations.
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UR - http://www.scopus.com/inward/citedby.url?scp=85048410326&partnerID=8YFLogxK
U2 - 10.1149/2.0111808jes
DO - 10.1149/2.0111808jes
M3 - Article
AN - SCOPUS:85048410326
VL - 165
SP - B3071-B3077
JO - Journal of the Electrochemical Society
JF - Journal of the Electrochemical Society
SN - 0013-4651
IS - 8
ER -