TY - JOUR
T1 - Multimodal Sensor System for Pressure Ulcer Wound Assessment and Care
AU - Chang, Ming Ching
AU - Yu, Ting
AU - Luo, Jiajia
AU - Duan, Kun
AU - Tu, Peter
AU - Zhao, Yang
AU - Nagraj, Nandini
AU - Rajiv, Vrinda
AU - Priebe, Michael
AU - Wood, Elena Astapova
AU - Stachura, Maximillian Edward
N1 - Funding Information:
Acknowledgments This work originated within the research projects APVV-0176-12 supported by the Slovak Research and Development Agency and VEGA 1/0474/16 supported by the Slovak Research Grant Agency VEGA.
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - We present a multimodal sensor system for wound assessment and pressure ulcer care. Multiple imaging modalities including RGB, three- dimensional (3-D) depth, thermal, multispectral, and chemical sensing are integrated into a portable hand-held probe for real-time wound assessment. Analytic and quantitative algorithms for various assessments including tissue composition, wound measurement in 3-D, temperature profiling, spectral, and chemical vapor analysis are developed. After each assessment scan, 3-D models of the wound are generated on the fly for geometric measurement, while multimodal observations are analyzed to estimate healing progress. Collaboration between developers and clinical practitioners was conducted at the Charlie Norwood VA Medical Center for in-field data collection and experimental evaluation. A total of 133 assessment sessions from 23 enrolled subjects were collected, on which the multimodal data were analyzed and validated with respect to clinical notes associated with each subject. The system can be operated by nontechnical caregivers on a regular basis to aid wound assessment and care. A web portal front-end was developed for clinical decision and telehealth support, where all historical patient data including wound measurements and analysis can be organized online.
AB - We present a multimodal sensor system for wound assessment and pressure ulcer care. Multiple imaging modalities including RGB, three- dimensional (3-D) depth, thermal, multispectral, and chemical sensing are integrated into a portable hand-held probe for real-time wound assessment. Analytic and quantitative algorithms for various assessments including tissue composition, wound measurement in 3-D, temperature profiling, spectral, and chemical vapor analysis are developed. After each assessment scan, 3-D models of the wound are generated on the fly for geometric measurement, while multimodal observations are analyzed to estimate healing progress. Collaboration between developers and clinical practitioners was conducted at the Charlie Norwood VA Medical Center for in-field data collection and experimental evaluation. A total of 133 assessment sessions from 23 enrolled subjects were collected, on which the multimodal data were analyzed and validated with respect to clinical notes associated with each subject. The system can be operated by nontechnical caregivers on a regular basis to aid wound assessment and care. A web portal front-end was developed for clinical decision and telehealth support, where all historical patient data including wound measurements and analysis can be organized online.
KW - Chemical vapor sensing
KW - RGB+D
KW - multimodal sensor system
KW - multispectral
KW - pressure ulcer
KW - telehealth
KW - thermal
KW - wound assessment
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U2 - 10.1109/TII.2017.2782213
DO - 10.1109/TII.2017.2782213
M3 - Article
AN - SCOPUS:85038390904
SN - 1551-3203
VL - 14
SP - 1186
EP - 1196
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 3
ER -