University of Oulu

Simon Klakegg, Jorge Goncalves, Chu Luo, Aku Visuri, Alexey Popov, Niels van Berkel, Zhanna Sarsenbayeva, Vassilis Kostakos, Simo Hosio, Scott Savage, Alexander Bykov, Igor Meglinski, and Denzil Ferreira. 2018. Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 2, Article 69 (July 2018), 24 pages. DOI: https://doi.org/10.1145/3214272

Assisted medication management in elderly care using miniaturised near-infrared spectroscopy

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Author: Klakegg, Simon1; Goncalves, Jorge2; Luo, Chu2;
Organizations: 1University of Oulu
2Te University of Melbourne
3Northern Health
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201902205812
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-02-20
Description:

Abstract

Near-infrared spectroscopy (NIRS) measures the light reflected from objects to infer highly detailed information about their molecular composition. Traditionally, NIRS has been an instrument reserved for laboratory usage, but recently affordable and smaller devices for NIRS have proliferated. Pairing this technology with the ubiquitous smartphone opens up a plethora of new use cases. In this paper, we explore one such use case, namely medication management in a nursing home/elderly care centre. First, we conducted a qualitative user study with nurses working in an elderly care centre to examine the protocols and workflows involved in administering medication, and the nurses’ perceptions on using this technology. Based on our findings, we identify the main impact areas that would benefit from introducing miniaturised NIRS. Finally, we demonstrate via a user study in a realistic scenario that miniaturised NIRS can be effectively used for medication management when leveraging appropriate machine learning techniques. Specifically, we assess the performance of multiple pre-processing and classification algorithms for a selected set of pharmaceuticals. In addition, we compare our solution with currently used methods for pharmaceutical identification in a local care centre. We hope that our reflection on the multiple aspects associated with the introduction of this device in an elderly care setting can help both academics and practitioners working on related problems.

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Series: Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies
ISSN: 2474-9567
ISSN-E: 2474-9567
ISSN-L: 2474-9567
Volume: 2
Issue: 2
Article number: 69
DOI: 10.1145/3214272
OADOI: https://oadoi.org/10.1145/3214272
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work is supported by the Academy of Finland (Grants 286386-CPDSS, 285459-iSCIENCE, 304925-CARE, 313224-STOP, 260321-APP, 290596-AVB), Marie Skłodowska-Curie Actions (645706-GRAGE), Government of Russian Federation (U01-074-APP, AVB) and the Russian Science Foundation (15-14-10008-IVM).
Academy of Finland Grant Number: 286386
304925
313224
Detailed Information: 286386 (Academy of Finland Funding decision)
304925 (Academy of Finland Funding decision)
313224 (Academy of Finland Funding decision)
Copyright information: © Copyright is held by the owner/author(s). | ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, http://dx.doi.org/10.1145/3214272.