Revisión sistemática de técnicas de monitoreo con electrocardiograma y fotopletismografia enfocadas en la ingeniería mecatrónica.

dc.contributor.advisorPimentel Diaz, Carlos Daniel
dc.contributor.advisorCastro Jaluba, William Razvan
dc.contributor.authorCaballero Oviedo, Wilmer Alexis
dc.date.accessioned2025-08-11T19:32:00Z
dc.date.available2025-08-11T19:32:00Z
dc.date.issued2025-08-11
dc.descriptionEsta monografía presenta una revisión sistemática para el monitoreo no invasivo de la presión arterial utilizando señales de electrocardiograma (ECG) y fotopletismografía (PPG), en el contexto académico de la ingeniería mecatrónica. Se abordan los fundamentos fisiológicos, los métodos de adquisición y procesamiento de señales, y parámetros clave como el tiempo de tránsito del pulso (PTT) y el tiempo de llegada del pulso (PAT). La revisión se llevó a cabo mediante ecuaciones de búsqueda aplicadas a bases de datos científicas, con un filtro de publicaciones recientes y pertinentes. Se analizaron nueve estudios agrupados en tres enfoques principales: bases teóricas, desarrollo de dispositivos portátiles y uso de modelos computacionales para la estimación de presión arterial. Los resultados evidencian la viabilidad de sistemas no invasivos, precisos y compactos, aunque persisten desafíos relacionados con la validación clínica. Este trabajo ofrece una base formativa y técnica para el desarrollo de soluciones inteligentes aplicadas al monitoreo fisiológico desde la ingeniería mecatrónica
dc.description.abstractThis monograph presents a systematic review for noninvasive blood pressure monitoring using electrocardiogram (ECG) and photoplethysmography (PPG) signals in the academic context of mechatronic engineering. Physiological fundamentals, signal acquisition and processing methods, and key parameters such as pulse transit time (PTT) and pulse arrival time (PAT) are addressed. The review was conducted using search equations applied to scientific databases, with a filter of recent and relevant publications. Nine studies grouped into three main approaches were analyzed: theoretical bases, development of portable devices and use of computational models for blood pressure estimation. The results demonstrate the feasibility of noninvasive, accurate and compact systems, although challenges related to clinical validation remain. This work offers a formative and technical basis for the development of intelligent solutions applied to physiological monitoring from mechatronic engineering
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero Mecánicospa
dc.description.domainhttps://www.ustabuca.edu.co/
dc.format.mimetypeapplication/pdf
dc.identifier.citationCaballero Oviedo, W. A. (2025). Revisión sistemática de técnicas de monitoreo con electrocardiograma y fotopletismografia enfocadas en la ingeniería mecatrónica [Trabajo de pregrado]. Universidad Santo Tomás, Bucaramanga, Colombia
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/68995
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Bucaramanga
dc.publisher.facultyFacultad de Ingeniería Mecánicaspa
dc.publisher.programPregrado Ingeniería Mecánicaspa
dc.relation.referencesL. Veloza, C. Jiménez, D. Quiñones, F. Polanía, L. C. Pachón-Valero, and C. Y. Rodríguez-Triviño, “Variabilidad de la frecuencia cardiaca como factor predictor de las enfermedades cardiovasculares,” Revista Colombiana de Cardiología, vol. 26, no. 4, pp. 205–210, Jul. 2019, doi: 10.1016/J.RCCAR.2019.01.006.
dc.relation.referencesT. Tamura and W. Chen, Seamless healthcare monitoring: Advancements in wearable, attachable, and invisible devices. Springer International Publishing, 2017. doi: 10.1007/978-3-319-69362-0.
dc.relation.referencesD. E. Casey et al., “2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines,” J Am Coll Cardiol, vol. 71, no. 19, pp. e127–e248, May 2018, doi: 10.1016/J.JACC.2017.11.006.
dc.relation.referencesN. V. Thakor, “Biopotentials and electrophysiology measurement,” in Measurement, Instrumentation, and Sensors Handbook: Electromagnetic, Optical, Radiation, Chemical, and Biomedical Measurement, 2nd ed., J. G. Webster and H. Eren, Eds. Boca Raton, FL: CRC Press, 2014, ch. 64, pp. 64-1–64-18.
dc.relation.referencesT. Tamura, Y. Maeda, M. Sekine, and M. Yoshida, “Wearable Photoplethysmographic Sensors—Past and Present,” Electronics (Basel), vol. 3, no. 2, pp. 282–302, Apr. 2014, doi: 10.3390/electronics3020282.
dc.relation.referencesM. Singla, S. Azeemuddin, and P. Sistla, “Learning-Based Model for Central Blood Pressure Estimation using Feature Extracted from ECG and PPG signals,” Annu Int Conf IEEE Eng Med Biol Soc, vol. 2020, pp. 855–858, Jul. 2020, doi: 10.1109/EMBC44109.2020.9176593.
dc.relation.referencesK. E. Mathewson, T. J. L. Harrison, and S. A. D. Kizuk, “High and dry? Comparing active dry EEG electrodes to active and passive wet electrodes,” in Psychophysiology, Blackwell Publishing Inc., Jan. 2017, pp. 74–82. doi: 10.1111/psyp.12536.
dc.relation.referencesN. Pilz, A. Patzak, and T. L. Bothe, “Continuous cuffless and non-invasive measurement of arterial blood pressure-concepts and future perspectives,” Blood Press, vol. 31, no. 1, pp. 254–269, 2022, doi: 10.1080/08037051.2022.2128716.
dc.relation.referencesH. Topi and W. Lucas, “Mix and match: combining terms and operators for successful Web searches,” Inf Process Manag, vol. 41, no. 4, pp. 801–817, Jul. 2005, doi: 10.1016/J.IPM.2004.03.007.
dc.relation.referencesJ. F. Guerrero Martínez, “INGENIERÍA BIOMÉDICA Tema 3 Procesado Analógico 3.1. Introducción,” 2010.
dc.relation.referencesW. Uribe, M. Duque, L. E. Medina, J. Marín, J. E. Velásquez, and J. Aristizábal, “Electrocardiografía básica,” Soporte vital básico y avanzado, pp. 85–92, 2016.
dc.relation.referencesA. A. R. Kamal, J. B. Harness, G. Irving, and A. J. Mearns, “Skin photoplethysmography - a review,” Comput Methods Programs Biomed, vol. 28, no. 4, pp. 257–269, Apr. 1989, doi: 10.1016/0169-2607(89)90159-4.
dc.relation.referencesQ. Lin and N. Van Helleputte, “PPG Sensors for The New Normal: A Review,” in Proc. 18th Int. SoC Design Conf. (ISOCC), 2021, pp. 276–277. doi: 10.1109/ISOCC53507.2021.9613962.
dc.relation.referencesA. Mukkamala, J. O. M. M. Steptoe, N. V. Choudhury, C. Hahn, and J. Allen, “Advances in Non-Invasive Blood Pressure Measurement Techniques,” IEEE Reviews in Biomedical Engineering, vol. 14, pp. 221–240, 2021, doi: 10.1109/RBME.2020.2992113.
dc.relation.referencesR. Henry, M. Castiglioni, A. Fazelniya, G. Polidori, and G. Parati, “Cuffless Blood Pressure in Clinical Practice: Challenges, Opportunities and Current Limits,” Blood Pressure, vol. 33, no. 1, pp. 1–12, 2024, doi: 10.1080/08037051.2024.2290027.
dc.relation.referencesB. De Marchi, M. Frigerio, S. De Nadai, G. Longinotti-Buitoni, and A. Aliverti, “Blood pressure continuous measurement through a wearable device: Development and validation of a cuffless method,” Sensors, vol. 22, no. 24, p. 9879, Dec. 2022. doi: 10.3390/s22249879.
dc.relation.referencesS. Sahani, S. Deval, and S. Kumar, “Deriving ECG Features from PPG Signals Using Machine Learning Approaches,” in Proceedings of the 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, May 2022, pp. 1367–1374,doi: 10.1109/ICICCS53718.2022.9788290.
dc.relation.referencesM. Shabaan, F. Alsolami, M. A. Elhosseini, A. E. Hassanien, and S. M. Shamseldin, “Survey: Smartphone-Based Assessment of Cardiovascular Diseases Using ECG and PPG Analysis,” Sensors, vol. 20, no. 21, pp. 1–28, Nov. 2020, doi: 10.3390/s20216007.
dc.relation.referencesM. K. F. Wong, H. Hei, S. Z. Lim, and E. Y.-K. Ng, “Applied machine learning for blood pressure estimation using a small, real-world electrocardiogram and photoplethysmogram dataset,” Math. Biosci. Eng., vol. 20, no. 1, pp. 975–997, Oct. 2022. doi: 10.3934/mbe.2023045
dc.relation.referencesN. Ibtehaz et al., “PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms,” Bioengineering, vol. 9, no. 12, p. 761, Dec. 2022. doi: 10.3390/bioengineering9120761.
dc.relation.referencesA. C. Wanda, M. Yazid, and R. Setiawan, “Continuous cuffless non-invasive blood pressure detection from ECG and PPG signals using artificial neural network,” in 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), Surabaya, Indonesia, 2024, doi: 10.1109/CENIM64038.2024.10882777.
dc.rightsAttribution 2.5 Colombiaen
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/co/
dc.subject.keywordBlood pressure monitoring, Electrocardiogram (ECG), Photoplethysmography (PPG), Non-invasive techniques, Pulse Arrival Time (PAT), Pulse Transit Time (PTT), Wearable devices
dc.subject.lembMonitoreo con dispositivos médicos
dc.subject.lembIngeniería biomédica
dc.subject.lembMedición de tensión arterial
dc.subject.lembAnálisis de información
dc.subject.proposalMonitorización de la presión arterial, Electrocardiograma (ECG), Fotopletismografía (PPG), Técnicas no invasivas, Tiempo de llegada del pulso (PAT), Tiempo de tránsito del pulso (PTT), Dispositivos portátiles
dc.titleRevisión sistemática de técnicas de monitoreo con electrocardiograma y fotopletismografia enfocadas en la ingeniería mecatrónica.
dc.typebachelor thesis
dc.type.categoryFormación de Recurso Humano para la Ctel: Trabajo de grado de Pregrado
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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