Exploiting periodicity to extract the atrial activity in atrial arrhythmias

[EN] Atrial fibrillation disorders are one of the main arrhythmias of the elderly. The atrial and ventricular activities are decoupled during an atrial fibrillation episode, and very rapid and irregular waves replace the usual atrial P-wave in a normal sinus rhythm electrocardiogram (ECG). The estimation of these wavelets is a must for clinical analysis. We propose a new approach to this problem focused on the quasiperiodicity of these wavelets. Atrial activity is characterized by a main atrial rhythm in the interval 3-12 Hz. It enables us to establish the problem as the separation of the original sources from the instantaneous linear combination of them recorded in the ECG or the extraction of only the atrial component exploiting the quasiperiodic feature of the atrial signal. This methodology implies the previous estimation of such main atrial period. We present two algorithms that separate and extract the atrial rhythm starting from a prior estimation of the main atrial frequency. The first one is an algebraic method based on the maximization of a cost function that measures the periodicity. The other one is an adaptive algorithm that exploits the decorrelation of the atrial and other signals diagonalizing the correlation matrices at multiple lags of the period of atrial activity. The algorithms are applied successfully to synthetic and real data. In simulated ECGs, the average correlation index obtained was 0.811 and 0.847, respectively. In real ECGs, the accuracy of the results was validated using spectral and temporal parameters. The average peak frequency and spectral concentration obtained were 5.550 and 5.554 Hz and 56.3 and 54.4%, respectively, and the kurtosis was 0.266 and 0.695. For validation purposes, we compared the proposed algorithms with established methods, obtaining better results for simulated and real registers.This paper is in part supported by the Valencia Regional Government (Generalitat Valenciana) through project GV/2010/002 (Conselleria d'Educacio) and by the Universidad Politecnica de Valencia under grant no. PAID-06-09-003-382.Llinares Llopis, R.; Igual García, J. (2011). Exploiting periodicity to extract the atrial activity in atrial arrhythmias. EURASIP Journal on Advances in Signal Processing. 1(134):1-16. doi:10.1186/1687-6180-2011-134S1161134Rieta J, Castells F, Sanchez C, Zarzoso V, Millet J: IEEE Trans Biomed Eng. 2004,51(7):1176. 10.1109/TBME.2004.827272Fuster V, Ryden L, Asinger R, et al.: Circulation. 2001, 104: 2118.Sörnmo L, Stridh M, Husser D, Bollmann A, Olsson S: Philos Trans A. 2009,367(1887):235. 10.1098/rsta.2008.0162Bollmann A, Husser D, Mainardi L, Lombardi F, Langley P, Murray A, Rieta J, Millet J, Olsson S, Stridh M, Sörnmo L: Europace. 2006,8(11):911. 10.1093/europace/eul113Stridh M, Sornmo L, Meurling C, Olsson S: IEEE Trans Biomed Eng. 2004,51(1):100. 10.1109/TBME.2003.820331Asano Y, Saito J, Matsumoto K, Kaneko K, Yamamoto T, Uchida M: Am J Cardiol. 1992,69(12):1033. 10.1016/0002-9149(92)90859-WStambler B, Wood M, Ellenbogen K: Circulation. 1997,96(12):4298.Manios E, Kanoupakis E, Chlouverakis G, Kaleboubas M, Mavrakis H, Vardas P: Cardiovasc Res. 2000,47(2):244. 10.1016/S0008-6363(00)00100-0Stridh M, Sornmo L: IEEE Trans Biomed Eng. 2001,48(1):105. 10.1109/10.900266Castells F, Igual J, Rieta J, Sanchez C, Millet J: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03). 2003., 5:Castells F, Rieta J, Millet J, Zarzoso V: IEEE Trans Biomed Eng. 2005,52(2):258. 10.1109/TBME.2004.840473Petrutiu S, Ng J, Nijm G, Al-Angari H, Swiryn S, Sahakian A: IEEE Eng Med Biol Mag. 2006,25(6):24.Stridh M, Bollmann A, Olsson S, Sornmo L: IEEE Eng Med Biol Mag. 2006,25(6):31.Langley P, Bourke J, Murray A: Computers in Cardiology. 2000.Sassi R, Corino V, Mainardi L: Ann Biomed Eng. 2009,37(10):2082-921. 10.1007/s10439-009-9757-3Llinares R, Igual J, Salazar A, Camacho A: Digit Signal Process. 2011,21(2):391. 10.1016/j.dsp.2010.06.005Sameni R, Jutten C, Shamsollahi M: IEEE Trans Biomed Eng. 2008,55(8):1935.Li X: IEEE Signal Process Lett. 2006,14(1):58.Llinares R, Igual J, Miró-Borrás J: Comput Biol Med. 2010,40(11-12):943. 10.1016/j.compbiomed.2010.10.006Belouchrani A, Abed-Meraim K, Cardoso J, Moulines E: IEEE Trans Signal Process. 1997,45(2):434. 10.1109/78.554307Lemay M, Vesin J, van Oosterom A, Jacquemet V, Kappenberger L: IEEE Trans Biomed Eng. 2007,54(3):542.Alcaraz R, Rieta J: Physiol Meas. 2008,29(12):1351. 10.1088/0967-3334/29/12/00

Influence of accelerometer signal filtering on automatic detection of gait impact parameters

[EN] Filtering the signal recorded by an accelerometer is essential to remove noise recorded by the sensor, but in order to calculate gait parameters properly, the choice of a suitable cutoff frequency of the filter is critical. This paper evaluates the influence of the filter cutoff frequency in the calculation of the parameters: vertical peak tibial acceleration and acceleration rate. The accelerometer signal filtering with low-pass filter with cutoff frequency below 50 Hz gives good results in the calculation of peak tibial acceleration but produces estimations of the acceleration rate below its real valueThis work has been sponsored by the Generalitat Valenciana: application 09.02.03.542.50.7 budget line T4015 grant from the “Conselleria de Educación, Cultura y Deporte”, aid for conducting R & D for emerging research groups corresponding to the call set out in Annex IX, the Order 64/2014, of July 31, the “Conselleria de Educación, Cultura y Deporte” (DOCV no. 7.332, of August 5, 2014). Record GV /2015/067.Camacho García, A.; Llinares Llopis, R.; Lucas-Cuevas, Á.; Pérez Soriano, P. (2016). Influence of accelerometer signal filtering on automatic detection of gait impact parameters. International Journal of Advancements in Digital Signal Processing. 3(1). http://hdl.handle.net/10251/94462S3

An investigation into the fabrication parameters of screen-printed capacitive sensors on e-textiles

[EN] The design and development of textile-based capacitive sensors requires the implementation of textile capacitors with a determined capacitance. One of the main techniques to obtain these sensors is the screen-printing of conductive and dielectric inks on textiles. This paper investigates the fabrication parameters that have the most influence when designing and implementing a screen-printed capacitive sensor. In this work, a textile has been used directly as the dielectric part, influencing sensitively the value of the permittivity and the thickness of the dielectric of the capacitor. These are two fundamental parameters for the estimation of its capacitance. The choice of the conductive ink, its viscosity and solid content, as well as printing parameters, such as printing direction, also impact on the manner for obtaining the electrodes of the capacitive sensor. Although the resulting electrodes do not represent an important parameter for the estimation of the capacitance, it determines the selection of fabrics that can be printed. As a result of the investigation, the paper provides a guideline to choose the materials, such as fabrics or inks, as well as the printing parameters, to implement e-textile applications based on projected capacitive technologies. The experiments carried out on different fabrics and inks have provided results with capacities of less than 60 pF, the limit where the sensors based on capacitive technologies are located.The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was supported by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofounded by ERDF funding from the European Union (Application no. IMAMCI/2019/1). This work was also supported by the Spanish Government/FEDER funds (RTI2018-100910-B-C43) (MINECO/FEDER).Ferri, J.; Llinares Llopis, R.; Moreno, J.; Lidon-Roger, JV.; Garcia-Breijo, E. (2020). An investigation into the fabrication parameters of screen-printed capacitive sensors on e-textiles. Textile Research Journal. 90(15-16):1749-1769. https://doi.org/10.1177/0040517519901016S174917699015-16Gonçalves, C., Ferreira da Silva, A., Gomes, J., & Simoes, R. (2018). Wearable E-Textile Technologies: A Review on Sensors, Actuators and Control Elements. Inventions, 3(1), 14. doi:10.3390/inventions3010014Mostafalu, P., Tamayol, A., Rahimi, R., Ochoa, M., Khalilpour, A., Kiaee, G., … Khademhosseini, A. (2018). Smart Bandage for Monitoring and Treatment of Chronic Wounds. Small, 14(33), 1703509. doi:10.1002/smll.201703509Shi, H., Zhao, H., Liu, Y., Gao, W., & Dou, S.-C. (2019). Systematic Analysis of a Military Wearable Device Based on a Multi-Level Fusion Framework: Research Directions. Sensors, 19(12), 2651. doi:10.3390/s19122651Kim, K., Jung, M., Jeon, S., & Bae, J. (2019). Robust and scalable three-dimensional spacer textile pressure sensor for human motion detection. Smart Materials and Structures, 28(6), 065019. doi:10.1088/1361-665x/ab1adfFerri, J., Perez Fuster, C., Llinares Llopis, R., Moreno, J., & Garcia‑Breijo, E. (2018). Integration of a 2D Touch Sensor with an Electroluminescent Display by Using a Screen-Printing Technology on Textile Substrate. Sensors, 18(10), 3313. doi:10.3390/s18103313De Vos, M., Torah, R., Glanc-Gostkiewicz, M., & Tudor, J. (2016). A Complex Multilayer Screen-Printed Electroluminescent Watch Display on Fabric. Journal of Display Technology, 12(12), 1757-1763. doi:10.1109/jdt.2016.2613906Lin, X., & Seet, B.-C. (2017). Battery-Free Smart Sock for Abnormal Relative Plantar Pressure Monitoring. IEEE Transactions on Biomedical Circuits and Systems, 11(2), 464-473. doi:10.1109/tbcas.2016.2615603Ejupi, A., & Menon, C. (2018). Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors. Sensors, 18(8), 2474. doi:10.3390/s18082474Polanský, R., Soukup, R., Řeboun, J., Kalčík, J., Moravcová, D., Kupka, L., … Hamáček, A. (2017). A novel large-area embroidered temperature sensor based on an innovative hybrid resistive thread. Sensors and Actuators A: Physical, 265, 111-119. doi:10.1016/j.sna.2017.08.030Komazaki, Y., & Uemura, S. (2019). Stretchable, printable, and tunable PDMS-CaCl2 microcomposite for capacitive humidity sensors on textiles. Sensors and Actuators B: Chemical, 297, 126711. doi:10.1016/j.snb.2019.126711Ng, C. L., & Reaz, M. B. I. (2019). Evolution of a capacitive electromyography contactless biosensor: Design and modelling techniques. Measurement, 145, 460-471. doi:10.1016/j.measurement.2019.05.031Ferri, J., Lidón-Roger, J., Moreno, J., Martinez, G., & Garcia-Breijo, E. (2017). A Wearable Textile 2D Touchpad Sensor Based on Screen-Printing Technology. Materials, 10(12), 1450. doi:10.3390/ma10121450Atalay, O. (2018). Textile-Based, Interdigital, Capacitive, Soft-Strain Sensor for Wearable Applications. Materials, 11(5), 768. doi:10.3390/ma11050768Yongsang Kim, Hyejung Kim, & Hoi-Jun Yoo. (2010). Electrical Characterization of Screen-Printed Circuits on the Fabric. IEEE Transactions on Advanced Packaging, 33(1), 196-205. doi:10.1109/tadvp.2009.2034536Lee, W. J., Park, J. Y., Nam, H. J., & Choa, S.-H. (2019). The development of a highly stretchable, durable, and printable textile electrode. Textile Research Journal, 89(19-20), 4104-4113. doi:10.1177/0040517519828992Chatterjee, K., Tabor, J., & Ghosh, T. K. (2019). Electrically Conductive Coatings for Fiber-Based E-Textiles. Fibers, 7(6), 51. doi:10.3390/fib7060051Gu, J. F., Gorgutsa, S., & Skorobogatiy, M. (2010). Soft capacitor fibers using conductive polymers for electronic textiles. Smart Materials and Structures, 19(11), 115006. doi:10.1088/0964-1726/19/11/115006Khan, S., Lorenzelli, L., & Dahiya, R. S. (2015). Technologies for Printing Sensors and Electronics Over Large Flexible Substrates: A Review. IEEE Sensors Journal, 15(6), 3164-3185. doi:10.1109/jsen.2014.2375203Zhang, Q., Wang, Y. L., Xia, Y., Zhang, P. F., Kirk, T. V., & Chen, X. D. (2019). Textile‐Only Capacitive Sensors for Facile Fabric Integration without Compromise of Wearability. Advanced Materials Technologies, 4(10), 1900485. doi:10.1002/admt.201900485Mukherjee, P. K. (2018). Dielectric properties in textile materials: a theoretical study. The Journal of The Textile Institute, 110(2), 211-214. doi:10.1080/00405000.2018.1473710Sadi, M. S., Yang, M., Luo, L., Cheng, D., Cai, G., & Wang, X. (2019). Direct screen printing of single-faced conductive cotton fabrics for strain sensing, electrical heating and color changing. Cellulose, 26(10), 6179-6188. doi:10.1007/s10570-019-02526-

Comparison of E-Textile Techniques and Materials for 3D Gesture Sensor with Boosted Electrode Design

[EN] There is an interest in new wearable solutions that can be directly worn on the curved human body or integrated into daily objects. Textiles offer properties that are suitable to be used as holders for electronics or sensors components. Many sensing technologies have been explored considering textiles substrates in combination with conductive materials in the last years. In this work, a novel solution of a gesture recognition touchless sensor is implemented with satisfactory results. Moreover, three manufacturing techniques have been considered as alternatives: screen-printing with conductive ink, embroidery with conductive thread and thermosealing with conductive fabric. The main critical parameters have been analyzed for each prototype including the sensitivity of the sensor, which is an important and specific parameter of this type of sensor. In addition, user validation has been performed, testing several gestures with different subjects. During the tests carried out, flick gestures obtained detection rates from 79% to 89% on average. Finally, in order to evaluate the stability and strength of the solutions, some tests have been performed to assess environmental variations and washability deteriorations. The obtained results are satisfactory regarding temperature and humidity variations. The washability tests revealed that, except for the screen-printing prototype, the sensors can be washed with minimum degradation.This work was supported by the Spanish Government/FEDER funds (RTI2018-100910-B-C43) (MINECO/FEDER). The work presented is also funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofounded by ERDF funding from the EU. Application No.: IMAMCI/2020/1Ferri Pascual, J.; Llinares Llopis, R.; Martinez, G.; Lidon-Roger, JV.; Garcia-Breijo, E. (2020). Comparison of E-Textile Techniques and Materials for 3D Gesture Sensor with Boosted Electrode Design. Sensors. 20(8):1-19. https://doi.org/10.3390/s20082369S11920

A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology

[EN] Research has developed various solutions in order for computers to recognize hand gestures in the context of human machine interface (HMI). The design of a successful hand gesture recognition system must address functionality and usability. The gesture recognition market has evolved from touchpads to touchless sensors, which do not need direct contact. Their application in textiles ranges from the field of medical environments to smart home applications and the automotive industry. In this paper, a textile capacitive touchless sensor has been developed by using screen-printing technology. Two different designs were developed to obtain the best configuration, obtaining good results in both cases. Finally, as a real application, a complete solution of the sensor with wireless communications is presented to be used as an interface for a mobile phone.The work presented is funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofounded by ERDF funding from the EU. Application No.: IMAMCI/2019/1. This work was also supported by the Spanish Government/FEDER funds (RTI2018-100910-B-C43) (MINECO/FEDER).Ferri Pascual, J.; Llinares Llopis, R.; Moreno Canton, J.; Ibáñez Civera, FJ.; Garcia-Breijo, E. (2019). A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology. Sensors. 19(23):1-32. https://doi.org/10.3390/s19235068S1321923Chakraborty, B. K., Sarma, D., Bhuyan, M. K., & MacDorman, K. F. (2017). Review of constraints on vision‐based gesture recognition for human–computer interaction. IET Computer Vision, 12(1), 3-15. doi:10.1049/iet-cvi.2017.0052Zhang, Z. (2012). Microsoft Kinect Sensor and Its Effect. IEEE Multimedia, 19(2), 4-10. doi:10.1109/mmul.2012.24Rautaray, S. S. (2012). Real Time Hand Gesture Recognition System for Dynamic Applications. International Journal of UbiComp, 3(1), 21-31. doi:10.5121/iju.2012.3103Karim, R. A., Zakaria, N. F., Zulkifley, M. A., Mustafa, M. M., Sagap, I., & Md Latar, N. H. (2013). Telepointer technology in telemedicine : a review. BioMedical Engineering OnLine, 12(1), 21. doi:10.1186/1475-925x-12-21Santos, L., Carbonaro, N., Tognetti, A., González, J., de la Fuente, E., Fraile, J., & Pérez-Turiel, J. (2018). Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies, 6(1), 8. doi:10.3390/technologies6010008Singh, A., Buonassisi, J., & Jain, S. (2014). Autonomous Multiple Gesture Recognition System for Disabled People. International Journal of Image, Graphics and Signal Processing, 6(2), 39-45. doi:10.5815/ijigsp.2014.02.05Ohn-Bar, E., & Trivedi, M. M. (2014). Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations. IEEE Transactions on Intelligent Transportation Systems, 15(6), 2368-2377. doi:10.1109/tits.2014.2337331Khan, S. A., & Engelbrecht, A. P. (2010). A fuzzy particle swarm optimization algorithm for computer communication network topology design. Applied Intelligence, 36(1), 161-177. doi:10.1007/s10489-010-0251-2Abraham, L., Urru, A., Normani, N., Wilk, M., Walsh, M., & O’Flynn, B. (2018). Hand Tracking and Gesture Recognition Using Lensless Smart Sensors. Sensors, 18(9), 2834. doi:10.3390/s18092834Zeng, Q., Kuang, Z., Wu, S., & Yang, J. (2019). A Method of Ultrasonic Finger Gesture Recognition Based on the Micro-Doppler Effect. Applied Sciences, 9(11), 2314. doi:10.3390/app9112314Lien, J., Gillian, N., Karagozler, M. E., Amihood, P., Schwesig, C., Olson, E., … Poupyrev, I. (2016). Soli. ACM Transactions on Graphics, 35(4), 1-19. doi:10.1145/2897824.2925953Sang, Y., Shi, L., & Liu, Y. (2018). Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. IEEE Access, 6, 49339-49347. doi:10.1109/access.2018.2868268Ferri, J., Lidón-Roger, J., Moreno, J., Martinez, G., & Garcia-Breijo, E. (2017). A Wearable Textile 2D Touchpad Sensor Based on Screen-Printing Technology. Materials, 10(12), 1450. doi:10.3390/ma10121450Nunes, J., Castro, N., Gonçalves, S., Pereira, N., Correia, V., & Lanceros-Mendez, S. (2017). Marked Object Recognition Multitouch Screen Printed Touchpad for Interactive Applications. Sensors, 17(12), 2786. doi:10.3390/s17122786Ferri, J., Perez Fuster, C., Llinares Llopis, R., Moreno, J., & Garcia‑Breijo, E. (2018). Integration of a 2D Touch Sensor with an Electroluminescent Display by Using a Screen-Printing Technology on Textile Substrate. Sensors, 18(10), 3313. doi:10.3390/s18103313Cronin, S., & Doherty, G. (2018). Touchless computer interfaces in hospitals: A review. Health Informatics Journal, 25(4), 1325-1342. doi:10.1177/1460458217748342Haslinger, L., Wasserthal, S., & Zagar, B. G. (2017). P3.1 - A capacitive measurement system for gesture regocnition. Proceedings Sensor 2017. doi:10.5162/sensor2017/p3.1Cherenack, K., & van Pieterson, L. (2012). Smart textiles: Challenges and opportunities. Journal of Applied Physics, 112(9), 091301. doi:10.1063/1.474272

Low-Temperature Soldering of Surface Mount Devices on Screen-Printed Silver Tracks on Fabrics for Flexible Textile Hybrid Electronics

[EN] The combination of flexible-printed substrates and conventional electronics leads to flexible hybrid electronics. When fabrics are used as flexible substrates, two kinds of problems arise. The first type is related to the printing of the tracks of the corresponding circuit. The second one concerns the incorporation of conventional electronic devices, such as integrated circuits, on the textile substrate. Regarding the printing of tracks, this work studies the optimal design parameters of screen-printed silver tracks on textiles focused on printing an electronic circuit on a textile substrate. Several patterns of different widths and gaps between tracks were tested in order to find the best design parameters for some footprint configurations. With respect to the incorporation of devices on textile substrates, the paper analyzes the soldering of surface mount devices on fabric substrates. Due to the substrate's nature, low soldering temperatures must be used to avoid deformations or damage to the substrate caused by the higher temperatures used in conventional soldering. Several solder pastes used for low-temperature soldering are analyzed in terms of joint resistance and shear force application. The results obtained are satisfactory, demonstrating the viability of using flexible hybrid electronics with fabrics. As a practical result, a simple single-layer circuit was implemented to check the results of the research.This work was supported by the Spanish Government FEDER funds (RTI2018-100910B-C43) (MINECO/FEDER). The work presented is also funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofunded by ERDF funding from the EU Stretch Project, application No.: IMAMCA/2022/6.Silvestre, R.; Llinares Llopis, R.; Contat-Rodrigo, L.; Serrano Martínez, V.; Ferri, J.; Garcia-Breijo, E. (2022). Low-Temperature Soldering of Surface Mount Devices on Screen-Printed Silver Tracks on Fabrics for Flexible Textile Hybrid Electronics. Sensors. 22(15):1-23. https://doi.org/10.3390/s22155766123221

A new method for manufacturing dry electrodes on textiles. Validation for wearable ECG monitoring

[EN] This paper presents a new dry ECG electrode printed on a textile substrate. The proposed manufacturing process permits cost-effective mass production. The ECG dry electrode is obtained through screen printing a conductive silver ink coated with a biocompatible carbon layer. Three different designs combining two shapes (circular and square) and two sizes were developed. The resulting measured impedances are similar to those obtained via a conventional electrode. The prototypes were attached to a bracelet and used with a commercial electrocardiogram (ECG) device to register ECG signals. The dry electrodes were validated via ECG monitoring and compared with a conventional wet electrode. The clinical interest intervals reported similar results and the QRS morphology presented slight differences. Noise evaluation showed no notable differences for all the analyzed parameters.The work presented was funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE. HYBRID II Project, IMAMCI/2021/1. This work was also supported by PID2019-109547RB-I00 (National Research Program, Ministerio de Ciencia e Innovacion, Spanish Government) & CIBERCV CB16/11/00486 (Instituto de Salud Carlos III)Ferri, J.; Llinares Llopis, R.; Segarra, I.; Cebrián Ferriols, AJ.; Garcia-Breijo, E.; Millet Roig, J. (2022). A new method for manufacturing dry electrodes on textiles. Validation for wearable ECG monitoring. Electrochemistry Communications. 136:1-8. https://doi.org/10.1016/j.elecom.2022.1072441813

Análisis de señales de acelerometría en Biomecánica

El análisis de señales de acelerometría permite detectar movimientos que puedan resultar lesivos en la realización de una actividad física. Para determinar estos movimientos, es necesario analizar parámetros de las señales de acelerometría obtenidos a partir de varios puntos de interés. La localización de estos puntos se convierte en una tarea tediosa cuando se realiza de forma manual por un experto. Este trabajo presenta un ejemplo de aplicación de técnicas de procesado de señal a señales biomédicas. En concreto, se describe la forma en que se realiza un análisis de señal para detectar los puntos de interés en registros de datos de forma automática y se presentan los resultados al experto permitiéndole editar o modificar esos puntos.Este trabajo ha estado patrocinado por la Generalitat Valenciana: aplicación presupuestaria 09.02.03.542.50.7, línea de subvención T4015 de la Conselleria de Educación, Cultura y Deporte, las ayudas para la realización de proyectos de I+D para grupos de investigación emergentes correspondientes a la convocatoria establecida en el anexo IX, de la Orden 64/2014, de 31 de julio, de la Conselleria de Educación, Cultura y Deporte (DOCV núm. 7.332, de 5 de agosto de 2014). Expediente GV/2015/067.Camacho García, A.; Llinares Llopis, R.; Miró Borrás, J.; Bernabeu Soler, PA. (2015). Análisis de señales de acelerometría en Biomecánica. Compobell. http://hdl.handle.net/10251/71740

Integration of a 2D Touch Sensor with an Electroluminescent Display by Using a Screen-Printing Technology on Textile Substrate

[EN] Many types of solutions have been studied and developed in order to give the user feedback when using touchpads, buttons, or keyboards in textile industry. Their application on textiles could allow a wide range of applications in the field of medicine, sports or the automotive industry. In this work, we introduce a novel solution that combines a 2D touchpad with an electroluminescent display (ELD). This approach physically has two circuits over a flexible textile substrate using the screen-printing technique for wearable electronics applications. Screen-printing technology is widely used in the textile industry and does not require heavy investments. For the proposed solution, different layer structures are presented, considering several fabric materials and inks, to obtain the best results.This work was supported by Spanish Government/FEDER funds (grant number MAT2015-64139-C4-3-R (Mineco/Feder)). The work presented is also funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofounded by ERDF funding from the EU. Application No.: IMAMCI/2017/1.Ferri Pascual, J.; Pérez Fuster, C.; Llinares Llopis, R.; Moreno Canton, J.; Garcia-Breijo, E. (2018). Integration of a 2D Touch Sensor with an Electroluminescent Display by Using a Screen-Printing Technology on Textile Substrate. Sensors. 18(10):3313-3326. https://doi.org/10.3390/s18103313S33133326181

Señal Banda Base y Densidad Espectral de Potencia Asocidada

La figura muestra la señal banda base y su densidad espectral de potencia en función de los parámetros escogidoshttps://laboratoriosvirtuales.upv.es/eslabon/depsbbLlinares Llopis, R. (2009). Señal Banda Base y Densidad Espectral de Potencia Asocidada. http://hdl.handle.net/10251/491