Health monitoring for elderly: An application using case-based reasoning and cluster analysis
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This paper presents a framework to process and analyze data from a pulse oximeter which remotely measures pulse rate and blood oxygen saturation from a set of individuals. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to their similarity. Record collection has been performed using a personalized health profiling approach in which participants wore a pulse oximeter sensor for a fixed period of time and performed specific activities for pre-determined intervals. Using a variety of feature extraction methods in time, frequency, and time-frequency domains, as well as data processing techniques, the data is fed into a CBR system which retrieves most similar cases and generates an alarm according to the case outcomes. The system has been compared with an expert's classification, and a 90% match is achieved between the expert's and CBR classification. Again, considering the clustered measurements, the CBR approach classifies 93% correctly both for the pulse rate and oxygen saturation. Along with the proposed methodology, this paper provides a basis for which the system can be used in the analysis of continuous health monitoring and can be used as a suitable method in home/remote monitoring systems.
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Case-based reasoning may increase the level of trust by being explicit and referring to previous cases.
“For this reason, different approaches such as case based reasoning [100] may increase the level of trust by being explicit and referring to previous cases.”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [100]
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Cites
Survey of Clustering Algorithms
Xu, R., & Wunsch, D. C. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2005.845141 · Cited by 6,223 · see citing works
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624 · see citing works
Clustering of time series data—a survey
Liao, T. W. (2005) · Pattern Recognition · doi:10.1016/j.patcog.2005.01.025 · Cited by 2,410 · see citing works
Understanding of Internal Clustering Validation Measures
Liu, Y., Li, Z., Xiong, H., Gao, X., & Wu, J. (2010) · Proceedings · doi:10.1109/icdm.2010.35 · Cited by 1,031 · see citing works
Data Mining in Healthcare and Biomedicine: A Survey of the Literature
Yoo, I., Alafaireet, P. E., Marinov, M. D., Pena-Hernandez, K. E., Gopidi, R., Chang, J.-F., & Hua, L. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9710-5 · Cited by 547 · see citing works
Cvetković, D., Übeylı, E. D., & Ćosić, I. (2007) · Digital Signal Processing · doi:10.1016/j.dsp.2007.05.009 · Cited by 227 · see citing works
Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments
Begum, S., Ahmed, M. U., Funk, P. J., Xiong, N., & Folke, M. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2071862 · Cited by 218 · see citing works
Self-citationGerAmi: Improving Healthcare Delivery in Geriatric Residences
Corchado, J. M., Bajo, J., & Abraham, A. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.27 · Cited by 195 · see citing works
Temporal abstraction in intelligent clinical data analysis: A survey
Stacey, M., & McGregor, C. (2007) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2006.08.002 · Cited by 146 · see citing works
Ratanamahatana, C. A., Lin, J., Gunopulos, D., Keogh, E., Vlachos, M., & Das, G. (2009) · Springer eBooks · doi:10.1007/978-0-387-09823-4_56 · Cited by 129 · see citing works
Validity index for clusters of different sizes and densities
Žalik, K. R., & Žalik, B. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.08.007 · Cited by 125 · see citing works
On the Comparison of Relative Clustering Validity Criteria
Vendramin, L., Campello, R. J. G. B., & Hruschka, E. R. (2009) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972795.63 · Cited by 125 · see citing works
A CASE‐BASED DECISION SUPPORT SYSTEM FOR INDIVIDUAL STRESS DIAGNOSIS USING FUZZY SIMILARITY MATCHING
Begum, S., Ahmed, M. U., Funk, P. J., Xiong, N., & von Schéele, B. (2009) · Computational Intelligence · doi:10.1111/j.1467-8640.2009.00337.x · Cited by 117 · see citing works
Self-citationZamarrón, C., Gudé, F., González‐Barcala, F. J., Rodriguez, J. R., & Romero, P. V. (2003) · CHEST Journal · doi:10.1378/chest.123.5.1567 · Cited by 108 · see citing works
Krupa, N., Mohd, M. A., Zahedi, E., et al. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-6 · Cited by 108 · see citing works
Sum-of-Squares Based Cluster Validity Index and Significance Analysis
Zhao, Q., Xu, M., & Fränti, P. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04921-7_32 · Cited by 107 · see citing works
HeartToGo: A Personalized medicine technology for cardiovascular disease prevention and detection
Jin, Z., Oresko, J., Huang, S., & Cheng, A. C. (2009) · IEEE/NIH Life Science Systems and Applications Workshop · doi:10.1109/lissa.2009.4906714 · Cited by 105 · see citing works
Spectral oscillations of RR intervals in sleep apnoea/hypopnoea syndrome patients
Dingli, K., Assimakopoulos, T., WRAITH, P. K., Fietze, I., Witt, C. C., & Douglas, N. J. (2003) · European Respiratory Journal · doi:10.1183/09031936.03.00098002 · Cited by 82 · see citing works
Web-based remote human pulse monitoring system with intelligent data analysis for home health care
Chen, C. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.07.136 · Cited by 77 · see citing works
Case-based retrieval to support the treatment of end stage renal failure patients
Montani, S., Portinale, L., Leonardi, G., et al. (2005) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2005.06.003 · Cited by 71 · see citing works
A multi-module case-based biofeedback system for stress treatment
Ahmed, M. U., Begum, S., Funk, P. J., Xiong, N., & von Schéele, B. (2010) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2010.09.003 · Cited by 54 · see citing works
Self-citationAn Integrated Healthcare System for Personalized Chronic Disease Care in Home–Hospital Environments
Jeong, S., Youn, C., Shim, E. B., Kim, M. J., Cho, Y. M., & Peng, L. (2012) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2012.2190989 · Cited by 49 · see citing works
Rahman, R. M., & Hasan, F. R. M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.03.015 · Cited by 46 · see citing works
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
Ahmed, M. U., Begum, S., Funk, P. J., et al. (2009) · Cited by 40 · see citing works
Self-citationDevelopment of remote healthcare system for measuring and promoting healthy lifestyle
Youm, S., Lee, G., Park, S., & Zhu, W. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.08.075 · Cited by 22 · see citing works
PDhms: Pulse Diagnosis via Wearable Healthcare Sensor Network
Gong, J., Lu, S., Wang, R., et al. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5963341 · Cited by 19 · see citing works
Ahmed, M. U., & Funk, P. J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-32986-9_3 · Cited by 16 · see citing works
Self-citationPrototypical case mining from biomedical literature for bootstrapping a case base
Bichindaritz, I. (2007) · Applied Intelligence · doi:10.1007/s10489-007-0061-3 · Cited by 16 · see citing works
A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning.
Ahmed, M. U., Begum, S., Funk, P. J., et al. (2008) · Cited by 12 · see citing works
Self-citationCase-based systems in health sciences: a case study in the field of stress
Begum, S., Ahmed, M. U., & Funk, P. J. (2009) · WSEAS TRANSACTIONS on SYSTEMS archive · Cited by 11 · see citing works
Self-citationHealth monitoring of elderly in independent and assisted living
Pang, G. K. H. (2012) · doi:10.1109/icobe.2012.6178978 · Cited by 11 · see citing works
A case-based patient identification system using pulseoximeter and a personalized health profile
Ahmed, M. U., Islam, A. M., & Loutfi, A. (2012) · Örebro University Library (Örebro University) · Cited by 9 · see citing works
Self-citationAn android based monitoring and alarm system forpatients with chronic obtrusive disease.
Koshmak, G. A. (2011) · Örebro University Library (Örebro University) · Cited by 8 · see citing works
Physical Activity Classification for Elderly Based on Pulse Rate
Uddin, A. M., & Loutfi, A. (2013) · Studies in health technology and informatics · doi:10.3233/978-1-61499-268-4-152 · Cited by 5 · see citing works
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Research works printed but not linked: 1
- I. Watson, Applying Case-Based Reasoning: Techniques For Enterprise Systems, Morgan Kaufmann Publishers, San Fran- sisco, Calif, USA, 1997.
Cited by
Sorted by citations
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
Self-citationA Framework for Automatic Text Generation of Trends in Physiological Time Series Data
Banaee, H., Ahmed, M. U., & Loutfi, A. (2013) · 2013 IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2013.661 · Cited by 21 · see citing works
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- Authors
- Ahmed, M. U., Banaee, H., & Loutfi, A.
- Affiliations
- Örebro University (SE)
- Corresponding author
- Ahmed, Mobyen Uddin
- Venue
- ISRN Artificial Intelligence
- Publisher
- Wiley
- Published
- 2013-05-22
- Volume
- 2013
- Pages
- 1-11
- ISSN
- 2090-7435 (ISSN-L)
- 2090-7443
- OpenAlex
- W2137918699
- Cited by
- 21
- References
- 34
- Citations by year
- 2022: 2 · 2021: 1 · 2020: 1 · 2018: 2 · 2017: 1 · 2015: 7 · 2014: 2 · 2013: 5
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- ISRN Artificial Intelligence (publishedVersion, cc-by)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- elderly monitoring, case-based reasoning, clustering, pulse oximeter, pulse rate, oxygen saturation, remote patient monitoring, home monitoring, time-frequency feature extraction
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