| dc.contributor | Aya-Parra, Pedro-Antonio | |
| dc.contributor | Cortes, Olga | |
| dc.contributor | Sarmiento, Jefferson | |
| dc.creator | Piñeros Lourenco, Hillary Findler | |
| dc.date.accessioned | 2020-03-16T13:56:44Z | |
| dc.date.accessioned | 2022-09-22T14:52:10Z | |
| dc.date.available | 2020-03-16T13:56:44Z | |
| dc.date.available | 2022-09-22T14:52:10Z | |
| dc.date.created | 2020-03-16T13:56:44Z | |
| dc.identifier | https://repository.urosario.edu.co/handle/10336/21003 | |
| dc.identifier | https://doi.org/10.48713/10336_21003 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3442887 | |
| dc.description.abstract | This work developed a prototype system that allows the prevention of falls by means of sensors that monitor the position of an individual and that is suitable for use in patients who have just left surgery and are in the hospitalization period. | |
| dc.language | spa | |
| dc.publisher | Universidad del Rosario | |
| dc.publisher | Ingeniería Biomédica | |
| dc.publisher | Escuela de Medicina y Ciencias de la Salud | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/2.5/co/ | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.rights | Bloqueado (Texto referencial) | |
| dc.rights | EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. | |
| dc.rights | Atribución-NoComercial-CompartirIgual 2.5 Colombia | |
| dc.source | Fundación Cardioinfantil – Instituto de Cardiología. Tomado en línea de: https://www.cardioinfantil.org/ 08/09/2019 | |
| dc.source | Tomado en línea de: https://www.who.int/es/news-room/fact-sheets/detail/falls | |
| dc.source | Olvera A. Sandra Sonalí, Hernández C. Alicia, Arroyo L. Silvino, Nava G. Ma. Guadalupe, Zapien V. María de los Ángeles, Pérez L. María Teresa, Cárdenas S. Patricia Adriana. Factores relacionados con la presencia de caídas en pacientes hospitalizados. Revista de investigación clínica, 2013. | |
| dc.source | Boushon B, et al. (2012) How-to Guide: Reducing Patient Injuries from Falls. Cambridge, MA: Institute for Healthcare Improvement. Disponible en: www.IHI.org. | |
| dc.source | da Costa B.R., Rutjes A.W.S., Mendy A., Freund-Heritage R., Vieira E.R.; Can falls risk prediction tools correctly identify fall-prone elderly rehabilitation inpatients? A systematic review and meta-analysis; PLoS ONE (2012) 7:7 Article Number: e41061. Date of Publication: 17 Jul 2012 | |
| dc.source | Boushon B, et al. (2012) How-to Guide: Reducing Patient Injuries from Falls. Cambridge, MA: Institute for Healthcare Improvement. Disponible en: www.IHI.org. | |
| dc.source | Indicadores Salud. Tomado de: http://rssvr2.sispro.gov.co/IndicadoresMOCA/Resolucion256-2016.aspx | |
| dc.source | Parra, D.I., Camargo-Figuera, F.A., & Rey Gómez, R.. (2012). Eventos adversos derivados del cuidado de enfermería: flebitis, úlceras por presión y caídas. Enfermería Global, 11(28), 159-169. Consultado en 10 de julio de 2019, de http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1695-61412012000400010&lng=es&tlng=es | |
| dc.source | M.D. Saiz-Vinuesa, E. Muñoz-Mansilla, T. Muñoz-Serrano, M.P. Córcoles-Jiménez, M.V. Ruiz-García, P. Fernández-Pallarés, L. Herreros-Sáez, F. Calero-Yáñez. Implantación de una guía de buenas prácticas para la prevención de caídas: percepción de los pacientes hospitalizados y sus cuidadores. Revista de Calidad Asistencial. Complejo Hospitalario Universitario de Albacete, Albacete, España, 2016. | |
| dc.source | O. L. Cortés, A. Serna-Restrepo, L. D. Salazar-Beltrán, Y. A. Rojas-Castañeda, S. Cabrera-González, y I. Arévalo-Sandoval, «Implementación de guías de práctica clínica de la Asociación de Enfermeras de Ontario-RNAO: Una experiencia de enfermería en un hospital colombiano», MedUNAB, vol. 19, n.º 2, pp. 103-114, feb. 2017. | |
| dc.source | Aliaga, Braulio, Molina, Natalia, Noguera, Matías, Espinoza, Paula, Sánchez, Sebastián, Lara, Bárbara, Carrasco, Marcela, & Eymin, Gonzalo. (2018). Prevalencia de pacientes con alto riesgo de caídas en un servicio médico-quirúrgico de un hospital universitario. Revista médica de Chile, 146(7), 862-868. https://dx.doi.org/10.4067/s0034-98872018000700862 | |
| dc.source | Hernandez Laura Camila, Informe Medicion De Adherencia Procesos Seguros 2015 – Hospital San Antonio De Villamaria – Caldas. Universidad de Caldas. Facultad de ciencias para la salud, Programa de enfermería. Abril de 2015. | |
| dc.source | C. Nini Johana, M. Diana María, L. Nidia Isabel. Adherencia al protocolo de riesgo de caídas por parte de las auxiliares de enfermería en la atención domiciliaria en una ips de la ciudad de Palmira. Fundación Universitaria Del Area Andina, Facultad Ciencias de la Salud. Pereira, 2018. | |
| dc.source | Cleveland clinic 2015 https://my.clevelandclinic.org/ | |
| dc.source | Hamm Julian, Money Arthur, Atwal Anita, Paraskevopoulos, Ioannis. Fall prevention intervention technologies: A conceptual framework and survey of the state of the art. ScienceDirect, 2016. | |
| dc.source | Shinmoto Torres Roberto L., Visvanathan Renuka, Abbott Derek, Hill Keith D., Ranasinghe Damith C. A Battery-less and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in a Pilot Trial in Hospitalized Older People. PLOS, 2017. | |
| dc.source | Renuka Visvanathan, Damith C Ranasinghe, Anne Wilson, Kylie Lange, Joanne Dollard. Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial. 2017. | |
| dc.source | A. Ribeiro, S. Pereira, A. Madureira, L. Mourao and L. Coelho. A Low-Cost Automatic Fall Prevention System for Inpatients. GMEPE, Portugal, 2018. | |
| dc.source | Renuka Visvanathan, Damith C. Ranasinghe, Roberto L. Shinmoto Torres, and Keith Hill. Framework for Preventing Falls in Acute Hospitals using Passive Sensor Enabled Radio Frequency Identification Technology. 34th Annual International Conference of the IEEE EMBS.California USA, 2012. | |
| dc.source | Ahmed Nait Aicha, Gwenn Englebienn, Kimberley S. van Schooten,Mirjam Pijnappels and Ben Kröse. Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry. Sensors, 2018. | |
| dc.source | Awais Muhammad, Raza Mohsin, Ali Kamran, Ali Zulfiqar, Irfan Muhammad, Chughtai Omer, Khan Imran, Kim Sunghwan, and Masood Ur Rehman. An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors, 2019. | |
| dc.source | Rucco Rosaria, Sorriso Antonietta, Liparoti Marianna, Ferraioli Giampaolo, Sorrentino Pierpaolo, Ambrosanio Michele and Baselic Fabio. Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review. Sensors, 2018. | |
| dc.source | Nico Jähne-Raden, Ulf Kulau 2, Michael Marschollek and Klaus-Hendrik Wolf. INBED: A highly specialized system for bed-exit-detection and fall prevention on a geriatricward. Sensors, Febrary,2019. | |
| dc.source | Wen-Cheng Chou, Wen-Yen Lin, Ming-Yih Lee and Kin Fong Lei. Design and assessment of a real-time accelerometer-based lying-to-sit sensing system for bed fall prevention. IEEE International Conference on Systems, Man, and Cybernetics. Taiwan, 2013. | |
| dc.source | Ramin Ramezani, Yubin Xiao and Arash Naeim. Sensing-Fi: Wi-Fi CSI and Accelerometer Fusion System for Fall Detection. | |
| dc.source | Registred Nurses' Association of Ontario. Prevention of falls and fall injuries in the older adult. (Revised). Toronto, Canadá: Registered Nurses' Association of Ontario. 2017. Disponible en: http://rnao.ca/bpg/guidelines/prevention-falls-and-fall-injuries-older-adult | |
| dc.source | National Institute for Health and Care Excellence Falls. Assessment and Prevention of Falls in Older People (Revised). Disponible en http://nice.org.uk/guidance/CG161. | |
| dc.source | Jadad A. R, Moore R. A, Carroll D, Jenkinson C, Reynolds D. J, Gavaghan D. J, & McQuay H. J. Assessing the quality of reports of randomized clinical trials: Is blinding necessary? Controlled Clinical Trials. 1996; 17: 1–12. | |
| dc.source | Review Manager (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014. | |
| dc.source | ARDUINO MKR GSM. Tomado en línea de: https://store.arduino.cc/usa/mkr-gsm-1400 | |
| dc.source | MPU 6050.Tomado en línea de: https://www.invensense.com/wp-content/uploads/2015/02/MPU-6000-Datasheet1.pdf | |
| dc.source | MPU 6050 breakout. Tomado en línea de: https://www.sparkfun.com/products/11028 | |
| dc.source | MPU 605. Tomado en línea de: https://www.sigmaelectronica.net/producto/tarjeta-mpu605/ | |
| dc.source | Lsm9ds1. Tomado en línea de: https://www.st.com/resource/en/datasheet/DM00103319.pdf | |
| dc.source | Naylamp mechatronics, MPU605. Tomado en línea de: https://naylampmechatronics.com/blog/45_Tutorial-MPU6050-Aceler%C3%B3metro-y-Giroscopio.html | |
| dc.source | Wolf, K.-H.; Hetzer, K.; zu Schwabedissen, H.M.; Wiese, B.; Marschollek, M. Development and pilot study of a bed-exit alarm based on a body-worn accelerometer [Entwicklung und Pilotstudie eines Bettenausstiegsalarms mittels körperbezogener Beschleunigungssensoren]. Zeitschrift für Gerontologie und Geriatrie.2013; 8:727-733. | |
| dc.source | Kwok T, Mok F, Chien WT, Tam E. Does access to bed-chair pressure sensors reduce physical restraint usein the rehabilitative care setting? Journal of Clinical Nursing. 2006; 15:581–587. | |
| dc.source | Sahota O, Drummond A, Kendrick D, Grainge M.J, Vass C, Sach T, Mark Avis J.A REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensorslinked to radio-pagers in acute hospitalcare: a randomised controlled trial. Age and Ageing. 2013; 43:247–253. | |
| dc.source | Shorr R.I, Chandler A.M, Mion L.C, Waters T. M, Liu M, Daniels M.J, Kessler L.A, PharmD; and Miller S.T. Effects of an Intervention to Increase Bed Alarm Use to Prevent Fallsin Hospitalized PatientsA Cluster Randomized Trial. American College of Physicians. 2012; 157:692-699. | |
| dc.source | Aguayo-Albasini, J. L., Flores-Pastor, B., & Soria-Aledo, V. (2014). Sistema GRADE: clasificación de la calidad de la evidencia y graduación de la fuerza de la recomendación. Cirugía Española, 92(2), 82–88. | |
| dc.source | Tomado en linea de: https://www.lanacion.com.ar/tecnologia/cuanto-dura-una-llamada-promedio-de-celular-nid1737397 | |
| dc.source | Nico Jähne-Raden, Ulf Kulau 2, Michael Marschollek and Klaus-Hendrik Wolf. INBED: A highly specialized system for bed-exit-detection and fall prevention on a geriatricward. Sensors, Febrary,2019. | |
| dc.source | Shinmoto Torres, R., Visvanathan, R., Hoskins, S., van den Hengel, A., & Ranasinghe, D. Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People. Sensors, 16(4), 546. 2016 | |
| dc.source | Ranasinghe, D. C., Shinmoto Torres, R. L., Hill, K., & Visvanathan, R. Low cost and batteryless sensor-enabled radio frequency identification tag based approaches to identify patient bed entry and exit posture transitions. Gait & Posture, 39(1), 118–123. 2014. | |
| dc.source | instname:Universidad del Rosario | |
| dc.source | instname:Universidad del Rosario | |
| dc.source | reponame:Repositorio Institucional EdocUR | |
| dc.subject | Prevención de caídas | |
| dc.subject | Detección de movimiento | |
| dc.subject | Sistema de salud | |
| dc.title | Evaluación del desarrollo y viabilidad de un sistema de detección de movimiento aplicable a pacientes de alto riesgo en caídas | |
| dc.type | bachelorThesis | |
