Academic Journal
In-cabin MIMO radar system for human dysfunctional breathing detection
| العنوان: | In-cabin MIMO radar system for human dysfunctional breathing detection |
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| المؤلفون: | López Montero, María José, Palacios Arias, César Augusto, Romeu Robert, Jordi, Jofre Roca, Lluís |
| المساهمون: | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2022 |
| المجموعة: | Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
| مصطلحات موضوعية: | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar, Vehicles -- Safety measures, Radar, Respiration -- Measurement, Breathing patterns, Dysfunctional breathing, Elongation map, FMCW radar, In-cabin, MIMO radar, mm-waves, Vehicles -- Mesures de seguretat, Respiració -- Mesurament |
| الوصف: | The integration of wireless sensors into the automotive industry is making vehicles increasingly safe and autonomous. At present, vehicles are equipped with external sensors that facilitate maneuverability and braking and internal sensors that detect presence, seat belt state, and occupant vital signs. Early detection of dysfunctional breathing patterns can reduce the risk of accidents caused by drowsiness or fatigue. In this regard, this work presents an MIMO FMCW Radar System able to distinguish dysfunctional breathing patterns from human torso motion. The torso has been divided into six regions, and the amplitude of the elongation and the frequency of motion of each region have been measured during breathing. An elongation map is then constructed in order to graphically show the dysfunctional breathing patterns. The signal processing includes a peak search algorithm to detect elongation amplitude and a bandpass frequency filter to minimize dc components, random driver motion, and vehicle vibration. A torso elongation emulator phantom has been assembled with materials of skin-like relative permittivity and dc motors for calibration and validation of basic breathing patterns. Finally, the signal of the system is compared with that of a commercial respiration belt, and then the system is tested by performing measurements on people. The MIMO radar system is able to measure, differentiate, and classify patterns associated with dysfunctional breathing such as hyperventilation syndrome and thoracic dominant breathing. ; This work was supported in part by the Spanish “Comision Interministerial de Ciencia y Tecnologia” (CICYT) under Project PID2019-107885GB-C31 and Project MDM2016- 0600, in part by the Catalan Research Group under Grant 2017 SGR 219, and in part by the “Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación” (SENESCYT) from the Ecuadorian Government ; Peer Reviewed ; Postprint (author's final draft) |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | 9 p.; application/pdf |
| اللغة: | English |
| Relation: | https://ieeexplore.ieee.org/document/9950476/; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107885GB-C31/ES/SISTEMAS RADIANTES X-WAVE INTEGRADAS DE COMUNICACIONES Y SENSORIZACION/; http://hdl.handle.net/2117/384016 |
| DOI: | 10.1109/JSEN.2022.3221052 |
| الاتاحة: | http://hdl.handle.net/2117/384016 https://doi.org/10.1109/JSEN.2022.3221052 |
| Rights: | Open Access |
| رقم الانضمام: | edsbas.9BBCB9AC |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/JSEN.2022.3221052 |
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