TY - JOUR
T1 - Application of miniaturized near-infrared spectroscopy in pharmaceutical identification
AU - Chen, Yitong
AU - van Berkel, Niels
AU - Luo, Chu
AU - Sarsenbayeva, Zhanna
AU - Kostakos, Vassilis
PY - 2020
Y1 - 2020
N2 - NIRS is a spectroscopic method that propagates near-infrared waves through objects and measures the absorbance by diffuse reflection, users could analyze the composition information of objects based on that. The technology has fast speed and non-destructive analysis features with relatively simple requirements for operators, making it very friendly to non-expert users. Traditional NIRS scanners used in research laboratories are large and expensive, while recently more and more affordable smaller NIRS scanners are appearing, which attract more end-users to buy and use. Besides, pairing the technology with mobile devices (smartphones, tablets, etc.) could get rid of other professional operation problems, and bring much more possibilities to non-expert users in realistic scenarios. We will explore one such use case in this paper with the extension of work by (Klakegg et al., 2018), namely Smart Pillbox for elderly care. We develop a prototype solution consisting of a hardware-software assistance to support non-expert users.
AB - NIRS is a spectroscopic method that propagates near-infrared waves through objects and measures the absorbance by diffuse reflection, users could analyze the composition information of objects based on that. The technology has fast speed and non-destructive analysis features with relatively simple requirements for operators, making it very friendly to non-expert users. Traditional NIRS scanners used in research laboratories are large and expensive, while recently more and more affordable smaller NIRS scanners are appearing, which attract more end-users to buy and use. Besides, pairing the technology with mobile devices (smartphones, tablets, etc.) could get rid of other professional operation problems, and bring much more possibilities to non-expert users in realistic scenarios. We will explore one such use case in this paper with the extension of work by (Klakegg et al., 2018), namely Smart Pillbox for elderly care. We develop a prototype solution consisting of a hardware-software assistance to support non-expert users.
KW - 3D printing
KW - Machine learning
KW - NIRS
KW - Pharmaceutical identification
UR - http://www.scopus.com/inward/record.url?scp=85090927526&partnerID=8YFLogxK
U2 - 10.1016/j.smhl.2020.100126
DO - 10.1016/j.smhl.2020.100126
M3 - Journal article
AN - SCOPUS:85090927526
SN - 2352-6483
VL - 18
JO - Smart Health
JF - Smart Health
M1 - 100126
ER -