Prognosis—A Wearable Health-Monitoring System for People at Risk: Methodology and Modeling
Abstract
Wearable health-monitoring systems (WHMSs) represent the new generation of healthcare by providing real-time unobtrusive monitoring of patients' physiological parameters through the deployment of several on-body and even intrabody biosensors. Although several technological issues regarding WHMS still need to be resolved in order to become more applicable in real-life scenarios, it is expected that continuous ambulatory monitoring of vital signs will enable proactive personal health management and better treatment of patients suffering from chronic diseases, of the elderly population, and of emergency situations. In this paper, we present a physiological data fusion model for multisensor WHMS called Prognosis. The proposed methodology is based on a fuzzy regular language for the generation of the prognoses of the health conditions of the patient, whereby the current state of the corresponding fuzzy finite-state machine signifies the current estimated health state and context of the patient. The operation of the proposed scheme is explained via detailed examples in hypothetical scenarios. Finally, a stochastic Petri net model of the human-device interaction is presented, which illustrates how additional health status feedback can be obtained from the WHMS' user.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent works in diagnosis/decision making involve estimating severity of health episodes of patients with chronic disease, sleep issues such as polysomnography and apnea, estimation and classification of health conditions, and emotion recognition.
“Some examples of recent works in this area involve estimating the severity of health episodes of patients suffering chronic disease [44–46], sleep issues such as polysomnography and apnea [47,48], estimation and classification of health conditions [49,50], and emotion recognition [51].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [50]
Cites
Petri nets: Properties, analysis and applications
Murata, T. (1989) · Proceedings of the IEEE · doi:10.1109/5.24143 · Cited by 10,645 · see citing works
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296 · see citing works
Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features
de Chazal, P., O'Dwyer, M., & Reilly, R. B. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827359 · Cited by 1,685 · see citing works
The principles of software QRS detection
Kohler, B.-U., Hennig, C., & Orglmeister, R. (2002) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.993193 · Cited by 1,248 · see citing works
Wireless sensor networks for personal health monitoring: Issues and an implementation
Milenković, A., Otto, C., & Jovanov, E. (2006) · Computer Communications · doi:10.1016/j.comcom.2006.02.011 · Cited by 1,023 · see citing works
Bioelectrical Signal Processing in Cardiac and Neurological Applications
Sörnmo, L., & Laguna, P. (2005) · Elsevier eBooks · doi:10.1016/b978-0-12-437552-9.x5000-4 · Cited by 1,003 · see citing works
Sensor networks for medical care
Shnayder, V., Chen, B.-R., Lorincz, K., Fulford-Jones, T. R. F., & Welsh, M. (2005) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/1098918.1098979 · Cited by 723 · see citing works
AMON: A Wearable Multiparameter Medical Monitoring and Alert System
Anliker, U., Ward, J. A., Lukowicz, P., Troster, G., Dolveck, F., Baer, M., Keita, F., Schenker, E. B., Catarsi, F., Coluccini, L., et al. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.837888 · Cited by 707 · see citing works
Postural stability in the elderly: a comparison between fallers and non-fallers
Melzer, I. (2004) · Age and Ageing · doi:10.1093/ageing/afh218 · Cited by 700 · see citing works
Wireless body sensor networks for health-monitoring applications
Hao, Y., & Foster, R. (2008) · Physiological Measurement · doi:10.1088/0967-3334/29/11/r01 · Cited by 404 · see citing works
Clinical Decision Support Systems
Berner, E. S. (2007) · Computers in health care · doi:10.1007/978-0-387-38319-4 · Cited by 276 · see citing works
Real-Time Classification of ECGs on a PDA
Rodríguez, J. C., Goñi, A., & Illarramendi, A. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.838369 · Cited by 238 · see citing works
Maglaveras, N., Stamkopoulos, T., Diamantaras, K., Pappas, C., & Strintzis, M. G. (1998) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(98)00138-5 · Cited by 235 · see citing works
Wearable feedback systems for rehabilitation
Marci, C. D., Michael, S., & Pentland, A. (2005) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.1186/1743-0003-2-17 · Cited by 229 · see citing works
Lmberis, A., & Dittmar, A. (2007) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2007.364926 · Cited by 194 · see citing works
Sensing Fabrics for Monitoring Physiological and Biomechanical Variables: E-textile solutions
Pacelli, M., Loriga, G., Taccini, N., & Paradiso, R. (2006) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmdbs.2006.360082 · Cited by 178 · see citing works
Wearable and Portable eHealth Systems
Gatzoulis, L., & Iakovidis, I. (2007) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/emb.2007.901787 · Cited by 169 · see citing works
Current Medical Diagnosis and Treatment
&NA; (2004) · The Nurse Practitioner · doi:10.1097/00006205-200402000-00011 · Cited by 152 · see citing works
IMIA Yearbook of Medical Informatics 2013
(2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638864 · Cited by 140 · see citing works
Computer aided fuzzy medical diagnosis
Innocent, P. R., & John, R. I. (2004) · Information Sciences · doi:10.1016/j.ins.2004.03.003 · Cited by 131 · see citing works
Fuzzy Health, Illness, and Disease
Sadegh-Zadeh, K. (2000) · The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine · doi:10.1076/0360-5310(200010)25:5;1-w;ft605 · Cited by 124 · see citing works
CLINICAL DECISION SUPPORT SYSTEMS THEORY AND PRACTICE
Wiharto, W. (2018) · Jurnal Teknosains · doi:10.22146/teknosains.38641 · Cited by 121 · see citing works
The potential impact of home telecare on clinical practice
Celler, B. G., Lovell, N. H., & Chan, D. K. Y. (1999) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1999.tb123782.x · Cited by 112 · see citing works
The Agenda of Wearable Healthcare
Tröster, G. (2005) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638446 · Cited by 109 · see citing works
From vagueness in medical thought to the foundations of fuzzy reasoning in medical diagnosis
Seising, R. (2006) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2006.06.004 · 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
A Self-Test to Detect a Heart Attack Using a Mobile Phone and Wearable Sensors
Leijdekkers, P., & Gay, V. C. (2008) · IEEE International Symposium on Computer-Based Medical Systems (CBMS) · doi:10.1109/cbms.2008.59 · Cited by 100 · see citing works
Lymberis, A., & Paradiso, R. (2008) · doi:10.1109/iembs.2008.4650403 · Cited by 95 · see citing works
Carson, E. R., Cramp, D. G., Morgan, A., & Roudsari, A. (1998) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/4233.720526 · Cited by 86 · see citing works
Maglaveras, N., Koutkias, V. G., Chouvarda, I., Goulis, D. G., Avramides, A., Adamidis, D., Louridas, G. E., & Balas, E. A. (2002) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(02)00069-2 · Cited by 84 · see citing works
West, J., Hippisley‐Cox, J., Coupland, C. A. C., Price, G. M., Groom, L., Kendrick, D., & Webber, E. (2004) · Public Health · doi:10.1016/j.puhe.2004.02.006 · Cited by 74 · see citing works
A Petri net model for reasoning in the presence of inconsistency
Murata, T., Subrahmanian, V. S., & Wakayama, T. (1991) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.91059 · Cited by 60 · see citing works
ECG quality measures in telecare monitoring
Redmond, S. J., Lovell, N. H., Basilakis, J., & Celler, B. G. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649801 · Cited by 57 · see citing works
Heart failure in older people: causes, diagnosis and treatment
Abdelhafiz, A. H. (2002) · Age and Ageing · doi:10.1093/ageing/31.1.29 · Cited by 50 · see citing works
Clinical Decision Support Systems: Theory and Practice (Health Informatics)
Berner, E. S. (2006) · Springer eBooks · Cited by 40 · see citing works
A Review of Decision Support Systems in Telecare
Falas, T., Papadopoulos, G. A., & Stafylopatis, A. (2003) · Journal of Medical Systems · doi:10.1023/a:1023705320471 · Cited by 31 · see citing works
Disability and its correlates with chronic morbidities among U.S. adults aged 50−<65 years
Zhao, G., Ford, E. S., Li, C., Crews, J. E., & Mokdad, A. H. (2008) · Preventive Medicine · doi:10.1016/j.ypmed.2008.11.002 · Cited by 23 · see citing works
A Decision Support Architecture for Telecare Patient Management of Chronic and Complex Disease
Basilakis, J., Lovell, N. H., & Celler, B. G. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353296 · Cited by 22 · see citing works
Fass, L. (2007) · doi:10.1049/ic.2007.1682 · Cited by 21 · see citing works
A Health Prognosis Wearable System with Learning Capabilities Using NNs
Pantelopoulos, A., & Bourbakis, N. (2009) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2009.87 · Cited by 12 · see citing works
Psychosocial Impact of Monitoring Technology in Assisted Living: A Pilot Study
Alwan, M., Leachtenauer, J. C., Dalal, S., Mack, D. C., Kell, S., Turner, B. L., & Felder, R. A. (2006) · doi:10.1109/ictta.2006.1684510 · Cited by 11 · see citing works
Differential diagnosis for primary care : a handbook for health care practitioners
Jamison, J. R. (2006) · Churchill Livingstone eBooks · Cited by 4 · see citing works
EU demographics: Living longer and reproducing less
Beets, G. C. N. (2007) · Pharmaceuticals Policy and Law · doi:10.3233/ppl-2007-00146 · Cited by 4 · see citing works
Health for life. Fixing America's hospitals.
Kalb, C. (2006) · PubMed · Cited by 2 · see citing works
The value of data fusion for predicting alarms in critical care
Hann, A., Tarassenko, K., Patterson, A., Barber, V. S., & Young, D. (2006) · International Conference on Advances in Medical, Signal and Information Processing (MEDSIP) · doi:10.1049/cp:20060393 · Cited by 1 · see citing works
Bourbakis, N., & Gallagher, J. C. (2008) · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
Smart health monitoring systems: An overview of design and modeling
Baig, M. M., & Gholamhosseini, H. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9898-z · Cited by 396 · see citing works
Graphene-Based Sensors for Human Health Monitoring
Huang, H., Su, S., Wu, N., Wan, H., Wan, S., Bi, H., & Sun, L. (2019) · Frontiers in Chemistry · doi:10.3389/fchem.2019.00399 · Cited by 336 · see citing works
Shameer, K., Badgeley, M. A., Miotto, R., Glicksberg, B. S., Morgan, J. W., & Dudley, J. T. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbv118 · Cited by 198 · see citing works
Lanatá, A., Valenza, G., Nardelli, M., Gentili, C., & Scilingo, E. (2015) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2014.2360711 · Cited by 147 · see citing works
Eskofier, B. M., Lee, S., Baron, M., Simon, A., Martindale, C. F., Gaßner, H., & Klucken, J. (2017) · Applied Sciences · doi:10.3390/app7100986 · Cited by 155 · see citing works
Qi, W., & Aliverti, A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2963048 · Cited by 131 · see citing works
Motin, M. A., Karmakar, C. K., & Palaniswami, M. S. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2679108 · Cited by 129 · see citing works
iCare: A Mobile Health Monitoring System for the Elderly
Lv, Z., Xia, F., Wu, G., Yao, L., & Chen, Z. (2010) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/greencom-cpscom.2010.84 · Cited by 111 · see citing works
Surface Chest Motion Decomposition for Cardiovascular Monitoring
Shafiq, G., & Veluvolu, K. C. (2014) · Scientific Reports · doi:10.1038/srep05093 · Cited by 92 · see citing works
Selection of Empirical Mode Decomposition Techniques for Extracting Breathing Rate From PPG
Motin, M. A., Karmakar, C. K., & Palaniswami, M. S. (2019) · IEEE Signal Processing Letters · doi:10.1109/lsp.2019.2900923 · Cited by 78 · see citing works
Fuzzy Petri nets and industrial applications: a review
Zhou, K.-Q., & Zain, A. M. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-015-9451-9 · Cited by 77 · see citing works
Habib, C., Makhoul, A., Darazi, R., & Couturier, R. (2018) · Information Fusion · doi:10.1016/j.inffus.2018.06.008 · Cited by 76 · see citing works
Condition-Based Monitoring and Maintenance: State of the Art Review
Ali, A., & Abdelhadi, A. (2022) · Applied Sciences · doi:10.3390/app12020688 · Cited by 74 · see citing works
Lethe: A Tunable Delete-Aware LSM Engine
Sarkar, S., Papon, T. I., Staratzis, D., & Athanassoulis, M. (2020) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3318464.3389757 · Cited by 71 · see citing works
Peoples, C., Parr, G. P., McClean, S. I., Scotney, B. W., & Morrow, P. (2013) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2012.12.008 · Cited by 70 · see citing works
Point-of-care biosensor system
Vasan, A. S. S. (2012) · Frontiers in Bioscience-Scholar · doi:10.2741/s357 · Cited by 70 · see citing works
Multi-Sources Data Fusion Framework for Remote Triage Prioritization in Telehealth
Salman, O. H., Rasid, M. F. A., Saripan, M. I., & Subramaniam, S. K. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0103-4 · Cited by 65 · see citing works
QRS Detection and Heart Rate Variability Analysis: A Survey
Oweis, R. J., & Al-Tabbaa, B. O. (2014) · Biomedical Science and Engineering · doi:10.12691/bse-2-1-3 · Cited by 63 · see citing works
Singh, A., Ahmed, A., Sharma, A., & Arya, S. K. (2022) · Biosensors · doi:10.3390/bios12100910 · Cited by 62 · see citing works
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
Pimentel, M. A. F., Charlton, P. H., & Clifton, D. A. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-18191-2_10 · Cited by 61 · see citing works
Advancements and applications of micro and nanostructured capacitive sensors: A review
Sakthivelpathi, V., Li, T., Qian, Z., Lee, C., Taylor, Z., & Chung, J. (2024) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2024.115701 · Cited by 43 · see citing works
Eggenberger, P., Bürgisser, M., Rossi, R. M., & Annaheim, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.585904 · Cited by 42 · see citing works
Secure Publish-Subscribe Protocols for Heterogeneous Medical Wireless Body Area Networks
Picazo‐Sanchez, P., Tapiador, J., Lopez, P. P., & Suárez‐Tangil, G. (2014) · Sensors · doi:10.3390/s141222619 · Cited by 39 · see citing works
Mohamed, R., & Youssef, M. A. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3132028 · Cited by 33 · see citing works
Sampling rate impact on energy consumption of biomedical signal processing systems
Tobola, A., Streit, F.-J., Espig, C., Korpok, O., Sauter, C., Lang, N. R., Schmitz, B., Hofmann, C., Struck, M., Weigand, C., et al. (2015) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2015.7299392 · Cited by 32 · see citing works
Ahnn, J. H., & Potkonjak, M. (2013) · Journal of Medical Systems · doi:10.1007/s10916-013-9957-0 · Cited by 31 · see citing works
Multimodal Analog Front End for Wearable Bio-Sensors
Kim, I.-S., Bhagat, Y. A., Homer, J., & Lobo, R. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2564942 · Cited by 30 · see citing works
Rajan, S. P., & Sukanesh, R. (2013) · Journal of Applied Research and Technology · doi:10.1016/s1665-6423(13)71522-0 · Cited by 27 · see citing works
‘Personal Health Surveillance’: The Use of mHealth in Healthcare Responsibilisation
Davies, B. (2021) · Public Health Ethics · doi:10.1093/phe/phab013 · Cited by 26 · see citing works
Singh, A., & Shishodia, M. S. (2020) · Physica E Low-dimensional Systems and Nanostructures · doi:10.1016/j.physe.2020.114288 · Cited by 24 · see citing works
A remote monitoring system with early diagnosis of hypertension and Hypotension
Baig, M. M., & GholamHosseini, H. (2013) · doi:10.1109/pht.2013.6461278 · Cited by 24 · see citing works
Wireless medical devices: A review of current research and commercial systems
Mahfouz, M. R., Kuhn, M. J., & To, G. (2013) · IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS) · doi:10.1109/biowireless.2013.6613660 · Cited by 23 · see citing works
A survey of wearable sensor networks in health and entertainment
Olson, J. S. (2018) · MOJ Applied Bionics and Biomechanics · doi:10.15406/mojabb.2018.02.00082 · Cited by 22 · see citing works
Baig, M. M., GholamHosseini, H., Gutiérrez, J., Ullah, E., & Lindén, M. (2021) · Applied Clinical Informatics · doi:10.1055/s-0040-1719043 · Cited by 22 · see citing works
Innovations in the synthesis of graphene nanostructures for bio and gas sensors
Ikram, M., Bari, M. A., Bilal, M., Jamal, F., Nabgan, W., Haider, J., Haider, A., Nazir, G., Khan, A. D., Khan, K., et al. (2022) · Biomaterials Advances · doi:10.1016/j.bioadv.2022.213234 · Cited by 21 · see citing works
An efficient cat hunting optimization-biased ReLU neural network for healthcare monitoring system
Dhanushkodi, K., Sethuraman, R., Mariappan, P., & Anusooya, G. (2023) · Wireless Networks · doi:10.1007/s11276-023-03373-x · Cited by 20 · see citing works
Fano Resonance-Based Blood Plasma Monitoring and Sensing using Plasmonic Nanomatryoshka
Pathania, P., & Shishodia, M. S. (2021) · Plasmonics · doi:10.1007/s11468-020-01343-z · Cited by 20 · see citing works
Marković, D., Vujičić, D., Stojić, D., Jovanović, Ž., Pešović, U., & Ranđić, S. (2019) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh.2019.8717748 · Cited by 19 · see citing works
Privacy management of patient physiological parameters
Masood, I., Wang, Y., Daud, A. Y., Aljohani, N. R., & Dawood, H. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.12.020 · Cited by 18 · see citing works
Abductive Agents for Human Activity Monitoring
Vettier, B., & Catherine Garbay, B. (2014) · International Journal of Artificial Intelligence Tools · doi:10.1142/s0218213014400028 · Cited by 17 · see citing works
Scalable ECG hardware and algorithms for extended runtime of wearable sensors
Tobola, A., Espig, C., Streit, F.-J., Korpok, O., Schmitz, B., Hofmann, C., Struck, M., Weigand, C., Leutheuser, H., Eskofier, B. M., et al. (2015) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2015.7145209 · Cited by 16 · see citing works
Bu, Y., Wu, W., Zeng, X., Koehl, L., & Tartare, G. (2015) · IEEE International Conference on Communication Technology (ICCT) · doi:10.1109/icct.2015.7399874 · Cited by 16 · see citing works
Radhakrishnan, S., Duvvuru, A., & Kamarthi, S. V. (2014) · Procedia Economics and Finance · doi:10.1016/s2212-5671(14)00248-2 · Cited by 15 · see citing works
Clinical Decision Support Service for elderly people in smart home environment
Hussain, M., Afzal, M., Khan, W. A., & Lee, S. (2012) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv.2012.6485239 · Cited by 15 · see citing works
Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients
Triantafyllopoulos, D., Korvesis, P., Mporas, I., & Megalooikonomou, V. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0403-3 · Cited by 14 · see citing works
IoT Based Disease Prediction Using Mapreduce and LSQN3 Techniques
Gopi, R., Veena, S., Balasubramanian, S., Ramya, D., Ilanchezhian, P., Harshavardhan, A., & Gupta, Z. (2022) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2022.025792 · Cited by 14 · see citing works
Electromagnetic Respiratory Effort Harvester: Human Testing and Metabolic Cost Analysis
Shahhaidar, E., Padasdao, B., Romine, R. K., Stickley, C., & Lubecke, O.-B. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2326597 · Cited by 13 · see citing works
Exploring the user requirements for wearable healthcare systems
Meng, Y., Choi, H., & Kim, H. (2011) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/health.2011.6026790 · Cited by 13 · see citing works
Kim, J., & Kim, J. (2023) · Sensors · doi:10.3390/s23125736 · Cited by 13 · see citing works
Zhang, D., Zhu, D. B., & Zhao, T. (2021) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2021.103939 · Cited by 12 · see citing works
RetractedEthical aspects in eHealth – design of a privacy-friendly system
Milutinovic, M., & Decker, B. D. (2016) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-06-2014-0028 · Cited by 12 · see citing works
Applications of AI in Healthcare and Assistive Technologies
Ktistakis, I. P., Goodman, G., & Britzolaki, A. (2021) · Learning and analytics in intelligent systems · doi:10.1007/978-3-030-87132-1_2 · Cited by 11 · see citing works
Baig, M. M., Mirza, F., GholamHosseini, H., Gutiérrez, J., & Ullah, E. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513343 · Cited by 11 · see citing works
PPG Derived Respiratory Rate Estimation in Daily living Conditions
Motin, M. A., Karmakar, C. K., Kumar, D., & Palaniswami, M. S. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9175682 · Cited by 10 · see citing works
Exploiting linked data to create rich human digital memories
Dobbins, C., Merabti, M., Fergus, P., Llewellyn-Jones, D., & Bouhafs, F. (2013) · Computer Communications · doi:10.1016/j.comcom.2013.06.008 · Cited by 10 · see citing works
Aghav, J. V., Sonawane, S., & Bhambhlani, H. (2014) · International Conference on Advances in Engineering & Technology Research · doi:10.1109/icaetr.2014.7012893 · Cited by 9 · see citing works
Enabling Timely and Persistent Deletion in LSM-Engines
Sarkar, S., Papon, T. I., Staratzis, D., Zhu, Z., & Athanassoulis, M. (2023) · ACM Transactions on Database Systems · doi:10.1145/3599724 · Cited by 8 · see citing works
Creating human digital memories for a richer recall of life experiences
Dobbins, C., Merabti, M., Fergus, P., & Llewellyn-Jones, D. (2013) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2013.6548745 · Cited by 8 · see citing works
Awotunde, J. B., Ogundokun, R. O., Adeniyi, A. E., Ayo, F. E., Ajamu, G. J., Abiodun, M. K., & Ogundokun, O. E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85174-9.00028-5 · Cited by 8 · see citing works
Baig, M. M., GholamHosseini, H., Connolly, M. J., & Kashfi, G. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864370 · Cited by 8 · see citing works
Mahfouz, M. R., To, G., & Kuhn, M. (2011) · IEEE Microwave Magazine · doi:10.1109/mmm.2011.942729 · Cited by 8 · see citing works
A virtual doctor prototype for quick diagnosis and secure health information exchange
Mallios, S., & Bourbakis, N. (2014) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa.2014.6878839 · Cited by 8 · see citing works
An Exercise Health Simulation Method Based on Integrated Human Thermophysiological Model
Jia, N., Chen, X., Yu, L., Wang, R., Yang, K., & Luo, X. (2017) · Computational and Mathematical Methods in Medicine · doi:10.1155/2017/9073706 · Cited by 8 · see citing works
A Novel Effectiveness Evaluation Method Based on Simultaneous Probabilistic Finite-State Machines
Nan, Y., Yi, G., Wang, C., & Tu, Z. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2956114 · Cited by 8 · see citing works
Review of development trends in smart shoe applications
Raji, R. K., Han, J., Li, Z., & Gong, L. (2024) · Sensor Review · doi:10.1108/sr-04-2023-0093 · Cited by 7 · see citing works
GSM BASED PATIENT MONITORING SYSTEM IN NICU
., B. S. (2013) · International Journal of Research in Engineering and Technology · doi:10.15623/ijret.2013.0207014 · Cited by 7 · see citing works
Wireless Communication in Medical Devices: Research Challenges
Hatagundi, M. D., & Sadashivappa, G. (2018) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei.2018.8553842 · Cited by 7 · see citing works
A Wearable Health Monitoring System
Fei, H., & Rehman, M. U. (2020) · International Conference on UK-China Emerging Technologies (UCET) · doi:10.1109/ucet51115.2020.9205468 · Cited by 7 · see citing works
Singh, A., Hazarika, A., Talukdar, C., Bhuyan, M., Dutta, L., Barthakur, M., & Chakraborty, K. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3050471 · Cited by 7 · see citing works
Security and Privacy in Biomedical Telemetry: Mobile Health Platform for Secure Information Exchange
Bourbakis, N., Pantelopoulos, A., & Kannavara, R. (2014) · doi:10.1002/9781118893715.ch13 · Cited by 7 · see citing works
Context aware biomedical robotic platform for elderly health care
Surendran, S., Rasamany, S., & Megalingam, R. K. (2013) · International Conference on Computer Science & Education (ICCSE) · doi:10.1109/iccse.2013.6553921 · Cited by 6 · see citing works
Capturing Human Digital Memories for Assisting Memory Recall
Dobbins, C., Merabti, M., Fergus, P., & Llewellyn-Jones, D. (2014) · Human-computer interaction series · doi:10.1007/978-1-4471-6392-3_10 · Cited by 6 · see citing works
Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems
Hurst, W., & Dobbins, C. (2015) · Liverpool John Moores University · doi:10.12691/jcsa-3-3a-1 · Cited by 6 · see citing works
A time series analysis : exploring the link between human activity and blood glucose fluctuation
Sadowski, E. A. (2010) · Scholars Commons (Wilfrid Laurier University) · Cited by 4 · see citing works
A hybrid intelligent system for recovery and performance evaluation after
Senanayake, S. M. N. A., Malik, O. A., Iskandar, P. M., & Zaheer, D. (2012) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2012.6416673 · Cited by 5 · see citing works
Feature-Based Temporal Statistical Modeling of Data Streams from Multiple Wearable Devices
Xu, T., Guo, A., Ma, J., & Wang, K. I. (2017) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc-picom-datacom-cyberscitec.2017.34 · Cited by 5 · see citing works
Self-Optimized Routing Algorithm for mHealth and Remote Health Monitoring
Qureshi, M. S., & Thayananthan, V. (2016) · Journal of Medical Imaging and Health Informatics · doi:10.1166/jmihi.2016.1597 · Cited by 5 · see citing works
Augmenting human digital memories with physiological data
Dobbins, C., Merabti, M., Fergus, P., & Llewellyn-Jones, D. (2012) · Networked Embedded Systems for Enterprise Applications · doi:10.1109/nesea.2012.6474032 · Cited by 5 · see citing works
Tariq, M., Niaz, M., Tahzeeb, M., Kamran, S., & Wasim, M. (2018) · International Journal of Computer Applications · doi:10.5120/ijca2018917971 · Cited by 5 · see citing works
Review of the Recent Advances in Nano-Biosensors and Technologies for Healthcare Applications
Aqra, M., & Ramanathan, A. A. (2021) · International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC) · doi:10.3390/csac2021-10473 · Cited by 5 · see citing works
Krishnamoorthy, U., Priya, L., & Fayek, H. H. (2026) · BioMedical Engineering OnLine · doi:10.1186/s12938-025-01485-3 · Cited by 4 · see citing works
Exfoliated graphite nanoplatelet-reinforced SU-8 for microelectrical contacts
Lee, Y., Song, S., Lee, W., & Yoon, S. (2023) · Journal of Materials Science · doi:10.1007/s10853-023-08492-6 · Cited by 4 · see citing works
Biomedical Application of Porous Carbon and Its Future in Precision Medical Devices
Choudhuri, S., & Panda, J. (2023) · Materials horizons · doi:10.1007/978-981-19-7188-4_17 · Cited by 4 · see citing works
Rios, T. D. S., & Bezerra, R. M. D. S. (2015) · Iberian Conference on Information Systems and Technologies (CISTI) · doi:10.1109/cisti.2015.7170581 · Cited by 4 · see citing works
The Development of Cyber-Physical System in Health Care Industry
Ariani, A., & Soegijoko, S. (2014) · Studies in computational intelligence · doi:10.1007/978-981-4585-36-1_3 · Cited by 3 · see citing works
Performance evaluation of the heart rate measurement using smart shoes
Aripriharta, A., Muladi, M., Zaeni, I. A. E., Firmansah, A., Rizqi, A. A., & Horng, G. J. (2020) · AIP conference proceedings · doi:10.1063/5.0002597 · Cited by 3 · see citing works
Mantellos, G., Exarchos, T. P., Dimitrakopoulos, G. Ν., Vlamos, P., Papastamatiou, N., Karaiskos, K., Minos, P., Alexandridis, T., Axiotopoulos, S., Tsakiridis, D., et al. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-31982-2_23 · Cited by 3 · see citing works
Venkatesan, C., Thamaraimanalan, T., Balamurugan, D., Sivaramakrishnan, A., Umamaheswari, R., & Ramkumar, M. (2025) · International Research Journal of Multidisciplinary Technovation · doi:10.54392/irjmt25320 · Cited by 3 · see citing works
Pantelopoulos, A., & Bourbakis, N. (2010) · International Conference on Body Area Networks · doi:10.1145/2221924.2221966 · Cited by 3 · see citing works
Wearable devices and medical monitoring robot software to reduce costs and increase quality of care
Bez, M. R., & Símini, F. (2018) · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2018.8554646 · Cited by 3 · see citing works
A Secure Wireless Telehealthcare Monitoring System and its Web Application
Baig, M. M., GholamHosseini, H., & Luo, D. H. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.541-542.1309 · Cited by 3 · see citing works
Air Purifier Automated Rover and Pollution Monitoring System
Singh, P., Ehtasham, A., Maurya, A. K., & Kumar, R. (2024) · International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC) · doi:10.1109/akgec62572.2024.10869161 · Cited by 2 · see citing works
Automatisierte Wissenskommunikation
Holste, A. (2023) · Frank & Timme eBooks · doi:10.26530/20.500.12657/85661 · Cited by 2 · see citing works
Towards a robust data privacy framework for IoT based health monitoring system
Prabha, P., & Chatterjee, K. (2025) · e-Prime - Advances in Electrical Engineering Electronics and Energy · doi:10.1016/j.prime.2025.100961 · Cited by 2 · see citing works
Senanayke, S. M. N. A., Malik, O. A., Iskandar, P. M., & Zaheer, D. (2013) · International Journal of Hybrid Intelligent Systems · doi:10.3233/his-130178 · Cited by 2 · see citing works
A neural network based application for remote monitoring of human behaviour
Siebra, C., Bruno, A. L. O., Gouveia, T. B., da Silva, F. Q. B., & Santos, A. L. M. (2015) · International Conference on Computer Vision and Image Analysis Applications (ICCVIA) · doi:10.1109/iccvia.2015.7351791 · Cited by 2 · see citing works
Encapsulated Optically Responsive Cell Systems: Toward Smart Implants in Biomedicine
Christophe Boss, A., Bouche, N., & Marchi, U. D. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201701148 · Cited by 2 · see citing works
Bourbakis, N. (2021) · Learning and analytics in intelligent systems · doi:10.1007/978-3-030-87132-1_11 · Cited by 2 · see citing works
ADHERENT-Net: An Adaptive Health Risk Estimation Network for Real-Time Environmental Tracking
Priyadharshini, M., Murugesh, V., Chowdhury, S., Dash, B. B., De, U. C., & Patra, S. S. (2025) · International Conference on Pervasive Computational Technologies (ICPCT) · doi:10.1109/icpct64145.2025.10940833 · Cited by 1 · see citing works
- Authors
- Pantelopoulos, A., & Bourbakis, N. G.
- Affiliations
- Wright State University (US)
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2010-05
- Volume
- 14
- Issue
- 3
- Pages
- 613-621
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2101305037
- Cited by
- 136
- References
- 46
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 6 · 2023: 10 · 2022: 6 · 2021: 11 · 2020: 6 · 2019: 7 · 2018: 7 · 2017: 10 · 2016: 6 · 2015: 11 · 2014: 15 · 2013: 15 · 2012: 5
- FWCI
- 5.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Information Technology in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Keywords
- sensor fusion, fuzzy finite state machines, state of health estimation, stochastic Petri nets, human-device interaction, chronic disease monitoring, elderly monitoring, emergency situations, personal health management
- MeSH terms
- Blood Pressure, Clothing, Electrocardiography, Humans, Programming Languages, Risk Factors, Signal Processing, Computer-Assisted, Stochastic Processes, Fuzzy Logic, Monitoring, Ambulatory, Decision Support Systems, Clinical, Vital Signs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
