Análisis de Señales Biomédicas: Introductorio

Análisis de Señales Biomédicas: Introductorio

Biomedical Engineering — Signal Processing Fundamentals

Análisis de Señales Biomédicas: Introductorio

Build a working foundation in physiological signal processing — sampling, frequency-domain analysis, and digital filtering — and orient yourself to the regulatory context that governs medical-device software.

BME-540-IIntroductorio16 horasCertificado de Finalización

Solicita información y una cotización personalizada

Biomedical signal analysis — ECG · EEG · EMG
FormatoCurso de Certificación Profesional
NivelIntroductorio
Duración16 horas
IdiomaInglés
CertificadoCertificado de Finalización — Aleph University
Full course trackIntroductorio (16 h) + Avanzado (32 h) = 48 horas
Requisito previo / Preparación recomendada

No se requiere ningún curso previo de Aleph.

Descripción general

Physiological signals — electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), respiratory signals, and the photoplethysmographic signals captured by today’s wearable devices — are the raw material of much of modern medical-device development. Behind every cardiac monitor, ambulatory ECG patch, sleep tracker, and pulse oximeter sits an algorithm that acquires, conditions, and interprets a physiological signal. For engineers, software developers, regulatory professionals, and clinical specialists entering the field, the first task is to develop a working vocabulary and a working intuition for how those signals behave.

This 16-hour Curso de Certificación Profesional is the entry point of the Aleph Análisis de Señales Biomédicas course track. It introduces sampling theory, the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT), the basics of digital filter design, and the publicly available physiological-signal datasets (PhysioNet, MIT-BIH Arrhythmia Database, Sleep-EDF) used as references in the field. The course also orients participants to the regulatory framework that surrounds the deployment of signal-processing algorithms as medical-device software functions — IEC 62304 software lifecycle, the FDA Software as a Medical Device (SaMD) framework, and the FDA Software Functions premarket guidance (June 2023).

The course is designed to prepare participants for the Avanzado level (BME-540-A), where the same methods are exercised at applied depth — adaptive filtering, wavelets, QRS detection benchmarking, machine learning, and the FDA AI/ML Predetermined Change Control Plan (PCCP) framework. Together the Introductorio and Avanzado levels form a 48-hour course track.

Lo que aprenderás
Identify the principal physiological-signal modalities (ECG, EEG, EMG, respiratory, photoplethysmographic) and their characteristic amplitude and frequency ranges.
Apply the Nyquist–Shannon sampling theorem to choose a sample rate for a given physiological signal.
Explain quantization, analog-to-digital conversion bit-depth selection, and the signal-to-quantization-noise ratio.
Compute and interpret the Discrete Fourier Transform and the Fast Fourier Transform of a physiological-signal segment.
Distinguish FIR and IIR digital filters at an orientation level and recognize when each is appropriate.
Load and visualize a benchmark physiological-signal record from PhysioNet (for example, MIT-BIH Arrhythmia Database Record 100).
Describe the FDA Software as a Medical Device framework and IEC 62304 software safety classes at orientation depth.
Articulate where the Avanzado level extends each of the methods you have been introduced to.
course topics & modules
Relevancia profesional

The Introductorio course establishes the vocabulary, the intuition, and the orientation that the medical-device industry expects of someone entering a signal-processing or SaMD role. Employers in this space include medical-device manufacturers (cardiac rhythm management, neuromonitoring, ambulatory monitoring, wearables), digital-health and consumer-health companies whose products are regulated as SaMD, contract research organizations, and regulatory-affairs consultancies that support clients with software-driven submissions. The Introductorio level is the right starting point for professionals whose work touches physiological signals but who do not yet have a working command of the underlying methods.

Certificado de Finalización

Los participantes que cumplan los requisitos de finalización del curso reciben un Certificado de Finalización emitido por Aleph University.

La finalización de los niveles Introductorio y Avanzado puede ser evaluada por Aleph University para su posible reconocimiento dentro de una ruta de posgrado aplicable, sujeto a revisión institucional y a las políticas académicas vigentes. El reconocimiento no es automático ni está garantizado.
Preguntas frecuentes
¿Listo para conversar sobre este curso?

Cuéntanos sobre tus objetivos, tu audiencia y tus plazos. Aleph University te contactará con información y una cotización personalizada para personas, equipos u organizaciones.

Disponible para participantes individuales y para formación en organizaciones.