![]() Monitoring heart rate without the need for physical contact. The use of radar devices, mainly Doppler radar, has even been suggested as part of a system designed for To avoid the problems and inconveniences of the use of electrodes or con-tact sensors, research has been carried out that proposes the implementation of systems that do not require direct or excessively intrusive placement for the patient. In order to guarantee that the signal received by the system is correct. Given these problems, the presence of trained personnel is necessary to periodically check the status of the systems electrodes ![]() The greatest number of problems for obtaining the signal are related to the incorrect placement of the electrodes or to patient conditions that modify the signal obtained (sweating, hair in the placement area or feeling of discomfort). The use of these systems does not entail a risk for the patient, however, considerations must be taken to obtain the most optimal signal possible in order to give an adequate diagnosis. These use electrodes connected to the patient, they detect changes in voltage generated by cardiac activity, pro-cessing them into electrical signals that are more suitable for interpretation. It also determined that this percentage increases with age, both in men and women.Ĭurrently the most commonly used systems for heart rate detection are ECGs incorporated into vital signs monitors. The American Heart Association (AHA) in its studies from 2015 to 2018, determined that in the United States, the prevalence of cardiovascular diseases in the population of adults older than 20 years is 49.2% in total. It is necessary to be able to obtain an adequate signal from this vital sign in order to determine the patients condition, make an adequate diagnosis and identify possible pathologies such as arrhythmia, arterial obstruction, heart damage or heart failure. ![]() Heart rate monitoring in a person is a commonly used practice in medical care. Keywords Non-contact monitoring, heart rate, Doppler Radar, band pass filter. The results of the tests carried out are presented and it is determined if the method meets the objective. PB - Institute of Electrical and Electronics Engineers Inc.Facultad de Ingenieria Universidad Nacional Autonoma de MexicoĪv Universidad 3000, Ciudad Universitaria, Coyoacan, 04510, CDMX, MexicoĪbstractThe proposal of this work is to detect the heart rate of a person at rest, using a method that implements the use of Radar Doppler. T3 - 2023 57th Annual Conference on Information Sciences and Systems, CISS 2023īT - 2023 57th Annual Conference on Information Sciences and Systems, CISS 2023 We demonstrate that this pre-processing and training scheme successfully allows for the detector to learn Doppler intolerant waveforms such as the noise waveforms. The training data is then augmented with Dopplershifted waveforms, such that this Doppler shift appears in the phase-aligned data. In order for the network to successfully learn the noise waveform, a pre-processing step of phase alignment is performed on the data to allow the neural network to establish a pattern. The concept of noise waveform radar is explored, and the core issue of Doppler tolerance is addressed. ![]() We demonstrate that this pre-processing and training scheme successfully allows for the detector to learn Doppler intolerant waveforms such as the noise waveforms.ĪB - This work analyzes neural network learning as it pertains to noise waveform radar detectors. N2 - This work analyzes neural network learning as it pertains to noise waveform radar detectors. T1 - Learning of Doppler Tolerant Radar Detectors for Noise Waveforms
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