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Sefid-Sefidehkhan Y, Mokhtari M, Jouyban A, Khoshkam M, Khoubnasabjafari M, Jouyban-Gharamaleki V, Rahimpour E. A smartphone digital image colorimetric method based on nanoparticles for determination of lamotrigine. Bioanalysis 2023; 15:915-926. [PMID: 37431823 DOI: 10.4155/bio-2023-0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023] Open
Abstract
Aim: A colorimetric approach for quantification of lamotrigine using spectrophotometric and smartphone image analysis is described in this study. Methods: For full optimization and validation procedures, UV-visible spectroscopy was used, and image analysis was carried out with the help of an app (PhotoMetrix PRO®). Then, as a multivariate calibration method, parallel factor analysis was used for data analysis. Results: The results demonstrated the capacity of these methods to estimate lamotrigine concentrations in the range of 0.1-7.0 μg.ml-1 in exhaled breath condensate, indicating the value of using digital images and smartphone applications in combination with chemometric tools. Conclusion: The image analysis can be superior for its fast and reliable lamotrigine analysis in biological samples.
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Affiliation(s)
- Yasaman Sefid-Sefidehkhan
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
- Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, 1313156199, Iran
| | - Mehdi Mokhtari
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
| | - Abolghasem Jouyban
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
- Faculty of Pharmacy, Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - Maryam Khoshkam
- Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, 1313156199, Iran
| | - Maryam Khoubnasabjafari
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
- Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
| | - Vahid Jouyban-Gharamaleki
- Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
| | - Elaheh Rahimpour
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, 5165665811, Iran
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Nemati E, Rahman MJ, Blackstock E, Nathan V, Rahman MM, Vatanparvar K, Kuang J. Estimation of the Lung Function Using Acoustic Features of the Voluntary Cough. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:4491-4497. [PMID: 33018992 DOI: 10.1109/embc44109.2020.9175986] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Spirometry test, a measure of the patient's lung function, is the gold standard for diagnosis and monitoring of chronic pulmonary diseases. Spirometry is currently being done in hospital settings by having the patients blow the air out of their lungs forcefully and into the spirometer's tubes under the supervision and constant guidance of clinicians. This test is expensive, cumbersome and not easily applicable to every-day monitoring of these patients. The lung mechanism when performing a cough is very similar to when spirometry test is done. That includes a big inhalation, air compression and forceful exhalation. Therefore, it is reasonable to assume that obstruction of lung airways should have a similar effect on both cough features and spirometry measures. This paper explores the estimation of lung obstruction using cough acoustic features. A total number of 3695 coughs were collected from patients from 4 different conditions and 4 different severity categories along with their lung function measures in a clinical setting using a smartphone's microphone and a hospital-grade spirometry lab. After feature-set optimization and model hyperparameter tuning, the lung obstruction was estimated with MAE (Mean Absolute Error) of 8% for COPD and 9% for asthma populations. In addition to lung obstruction estimation, we were able to classify patients' disease state with 91% accuracy and patients' severity within each disease state with 95% accuracy.Clinical Relevance- This enables effort-independent estimation of lung function spirometry parameters which could potentially lead to passive monitoring of pulmonary patients.
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Borelli E, Paolini G, Antoniazzi F, Barbiroli M, Benassi F, Chesani F, Chiari L, Fantini M, Fuschini F, Galassi A, Giacobone GA, Imbesi S, Licciardello M, Loreti D, Marchi M, Masotti D, Mello P, Mellone S, Mincolelli G, Raffaelli C, Roffia L, Salmon Cinotti T, Tacconi C, Tamburini P, Zoli M, Costanzo A. HABITAT: An IoT Solution for Independent Elderly. SENSORS 2019; 19:s19051258. [PMID: 30871107 PMCID: PMC6427271 DOI: 10.3390/s19051258] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 03/04/2019] [Accepted: 03/05/2019] [Indexed: 02/05/2023]
Abstract
In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Artificial Intelligence. Thus, the main novelty of the paper is the system-level description of the platform flexibility allowing the interoperability of different smart devices. This research was developed within the framework of the operative project HABITAT (Home Assistance Based on the Internet of Things for the Autonomy of Everybody), aiming at developing smart devices to support elderly people both in their own houses and in retirement homes, and embedding them in everyday life objects, thus reducing the expenses for healthcare due to the lower need for personal assistance, and providing a better life quality to the elderly users.
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Affiliation(s)
- Elena Borelli
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | - Giacomo Paolini
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Francesco Antoniazzi
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
- INFN CNAF-Italian Institute for Nuclear Physics for the Research and Development in Information and Communication Technologies, 40127 Bologna, Italy.
| | - Marina Barbiroli
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Francesca Benassi
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Federico Chesani
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
| | - Lorenzo Chiari
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | | | - Franco Fuschini
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Andrea Galassi
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
| | | | - Silvia Imbesi
- TekneHub, University of Ferrara, 44122 Ferrara, Italy.
| | - Melissa Licciardello
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Daniela Loreti
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | | | - Diego Masotti
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Paola Mello
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
| | - Sabato Mellone
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | | | - Carla Raffaelli
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Luca Roffia
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
| | - Tullio Salmon Cinotti
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DISI-Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy.
- ARCES-Advanced Research Center on Electronic Systems "Ercole De Castro", University of Bologna, 40125 Bologna, Italy.
| | - Carlo Tacconi
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | - Paola Tamburini
- CIRI-Health Sciences & Technologies, University of Bologna, 40126 Bologna, Italy.
| | - Marco Zoli
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
| | - Alessandra Costanzo
- CIRI-Information and Communication Technologies, University of Bologna, 40126 Bologna, Italy.
- DEI-Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, 40136 Bologna, Italy.
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Stone M, Knapper J, Evans G, Aravopoulou E. Information management in the smart city. THE BOTTOM LINE 2018. [DOI: 10.1108/bl-07-2018-0033] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to investigate information management in a smart city. It identifies the main trends in progress and how innovation in information technology is helping all those in the smart city ecosystem in terms of generating new sources of data and connecting them. It investigates how information management in the smart city may go through several phases, but contests the notion that the co-ordinated information management that is the dream of many city managers is an appropriate vision, given the tendency in the private sector for competing information platforms to develop, giving value in different ways.
Design/methodology/approach
This paper has been written by using a combination of academic insight and literature, extensive research of relevant grey literature (e.g. blogs and industry press) and interviews and interaction with some of the organisations involved in developing and implementing the smart city concept, including public transport organisations, other data providers, analysts and systems and sensor suppliers.
Findings
Smart city concepts are evolving in different ways, with divergence of views which involves centralisation and control of information by city authorities and a more democratic view in which the information is managed on different platforms between which smart city stakeholders can choose.
Research limitations/implications
The research method is exploratory. Validating the findings would require a more structured approach in which stakeholders of all kinds are consulted.
Practical implications
All organisational stakeholders in the idea and delivery of smart cities need to consider how their interests in smart city information and those of other stakeholders are evolving and to what extent they should be in partnership with other members of the ecosystem in generating and using the information.
Social implications
Individuals, whether workers, commuters, shoppers, tourists or others, will be greatly affected by the evolution of smart city information, and their choices about whether to be smart themselves will have an important effect on the benefits they receive from city smartening and on the viability of the smart cities.
Originality/value
Little research has been carried out into the different choices organisations and individuals have in terms of how they will relate to smart city information and how they can manage it. This research makes a start on this task.
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