

Integrates artificial intelligence, computer vision, and predictive analytics to strengthen digital health, improve diagnostic accuracy, and optimize clinical care.
Humath Health
Many of the called fourth revolution technologies have managed to venture into the field of health care, allowing the possibility of generating spaces and environments focused on the well-being of society. Consequently, artificial intelligence (AI), the internet of things and extended reality (XR), among other technologies, have the potential to improve people’s quality of life, achieving innovative developments that accompany the daily lives of people.
People, in this case we look for the accompaniment of people's health, relying on doctors and health personnel in general. HuMath is a general framework for developing medical applications using XR and AI that has been in development for the past five years. This chapter extends the concept of Human-Centered Mathematics and develops the basic architecture of developments in physical and emotional rehabilitation, prioritization, and decision support using highly complex images.
Our main contribution is materialized in the flexibility and adaptability of our developments, in addition to the applications made in the areas of emotional and physical rehabilitation and in the context of the COVID-19 pandemic in radiology.
Additionally, we establish the method for the design of our cyber-physical systems under the Biodesign methodology oriented to the regulations in health systems, in an ethical context in the age of data, privacy and security.
Some of our most outstanding results are the development of an upper limb rehabilitation framework, using intelligent adaptive control using virtual reality, a user interface for vIvAmed and the HuMAth-Curie user interface. They are all projects that have allowed the focus on people's health care.
Keywords: Artificial intelligence, Extended reality, Health care, Biomedicine, Fourth revolution, AI medicine, XR rehabilitation, Medical decision making, Medical Diagnosis.
Humath Curie
Through which the performance of artificial intelligence models on images, biosignals, and structured and unstructured data from the medical record is being investigated to predict mortality and intubation, compared with traditional models in patients with pneumonia.
In this way, it becomes clear that artificial intelligence is here to stay and to contribute to clinical decision-making by strengthening the processes of diagnosis, care, and treatment of patients
Humath Robots
“Emotion recognition in video, audio, and text.
People’s mood is still, today, a variable that is difficult to identify, measure, and study. By using artificial intelligence (AI), a platform is created that can identify emotions through facial gesture recognition. This technology can be implemented in different sectors or work areas such as human resources, psychological consultations, marketing, and likewise in other sectors such as healthcare or security. The platform makes it easier to carry out market studies, medical or diagnostic assessments, and satisfaction analyses.”
Teleradiology system
“Facilitating radiological diagnosis with AI"
The Covid-19 pandemic transformed medical diagnosis into an even faster and more decisive field of action. Radiologists and physicians, overwhelmed by demand, faced the challenge of diagnosing with precision and speed. This reality led to an essential question: How can radiological diagnosis be made more efficient in critical times?
Innovation as a response to need
In response to this urgency, Humath developed an advanced teleradiology system using artificial intelligence. This system rapidly analyzes X-ray and CT images, helping to identify respiratory pathologies. Tested and validated in real-world situations, it became a key ally during the health crisis.
A commitment beyond technology
This system symbolizes our commitment to health and innovation. More than a tool, it is a step forward toward a future where technology is aligned with human needs, opening new possibilities in healthcare and medical diagnosis.”
HuMath Health Technologies
Name
EMOEEG
Description
ES UN SOFTWARE QUE PERMITE OBTENER LAS SEÑALES PLANAS DE LOS ELECTRO ENCEFALOGRAMAS QUE SE CAPTURAN CON UN HARDAWARE DENOMINADO EMOTIV. ESTE SOFTWARE ABRE LOS PUERTOS USB Y OBTIENE LAS SEÑALES PLANAS Y LAS GRÁFICA EN UNA INTERFAZ GRÁFICA PARA QUE SEAN ANALIZADAS VISUALMENTE EN DIFERENTES FORMATOS. PERMITE EXPORTARLOS EN DIFERENTES TIPOS DE ARCHIVOS PARA ANÁLISIS MAS SOFISTICADOS
EMOEEG-SINGLE
SOFTWARE QUE PERMITE OBTENER LAS SEÑALES PLANAS DE LOS ELECTRO ENCEFALOGRAMAS QUE SE CAPTURAN CON UN HARDAWARE DENOMINADO EMOTIV. REALIZA EL PROCEDIMIENTO DE RECONOCIMIENTO DE EMOCIONES EN SEÑALES EEG DE UN SOLO CANAL
EMOEEG-MULTI
PERMITE OBTENER LAS SEÑALES PLANAS DE LOS ELECTRO ENCEFALOGRAMAS QUE SE CAPTURAN CON UN HARDAWARE DENOMINADO EMOTIV. TIENE EN SU NÚCLEO UN ALGORITMO DE RECONOCIMIENTO DE EMOCIONES QUE POSEE ADEMAS DIFERENTES ETAPAS: PREPROCESAMIENTO, PROCESAMIENTO, EXTRACCION DE CARACTERISTICAS Y CLASIFICACIÓN. NO PERMITE ENTRENAR EN LINEA, SOLO PERMITE RECONOCER EMOCIONES
Authors
*OLGA LUCÍA QUINTERO MONTOYA
*ALEJANDRO GÓMEZ MONTOYA
*OLGA LUCÍA QUINTERO MONTOYA
*ALEJANDRO GÓMEZ MONTOYA
*OLGA LUCÍA QUINTERO MONTOYA
*ALEJANDRO GÓMEZ MONTOYA
REGISTRATION NUMBER
13-78-336
13-78-444
13-78-337
EMOEEG-FUSER
SOFTWARE QUE PERMITE OBTENER LAS SEÑALES PLANAS DE LOS ELECTRO ENCEFALOGRAMAS QUE SE CAPTURAN CON UN HARDWARE DENOMINADO EMOTIV. REALIZA EL PROCEDIMIENTO DE RECONOCIMIENTO DE EMOCIONES EN SEÑALES EEG DE MULTIPLES CANALES, ADQUIRIR SEÑALES DE DISPOSITIVOS INALAMBRICOS DE ACTIVIDAD ELECTRODERMICA EDA, VIDEO, VOZ Y TEMPERATURA.
*OLGA LUCÍA QUINTERO MONTOYA
*ALEJANDRO GÓMEZ MONTOYA.
13-78-408
SISTEMA DE CONTROL ADAPTATIVO PARA DISPOSITIVO ROBÓTICO PARA REHABILITACIÓN DE MIEMBRO SUPERIOR
ES UN CONTROLADOR QUE PERMITE QUE EL DISPOSITIVO ROBÓTICO REALICE LA TAREA DE TRABAJO ADAPTÁNDOSE A SISTEMAS EXTERNOS, PREVIAMENTE DEFINIDOS.
KERNELS DE PREPROCESAMIENTO PARA LA EXTRACCIÓN DE CARACTERÍSTICAS FACIALES EN APLICACIONES CON REDES PROFUNDAS
TÉCNICAS DE FILTRADO Y SEGMENTACIÓN DE CARACTERÍSTICAS FACIALES PARA MEJORAR LA CAPACIDAD DE GENERALIZACIÓN EN REDES PROFUNDAS
*OLGA LUCÍA QUINTERO
*YARLIN ANDREA ORTIZ TORO
*OLGA LUCÍA QUINTERO MONTOYA
*DAVID RESTREPO RIVERA[OQ2]
13-75-265
13-75-266
VOICE BASED INSTANCE OF EMOTION PERCEPTION TOOL (IOEPT)
ES UN SOFTWARE QUE PERMITE HACER RECONOCIMIENTO DE INSTANCIAS DE EMOCIÓN EN SEÑALES DE AUDIO EN Y FUERA DE LÍNEA, ES DECIR, EN TIEMPO REAL CON UN MICRÓFONO O EN AUDIOS PREVIAMENTE GRABADOS, ADEMÁS HACE POSIBLE VER LOS RESULTADOS POR MEDIO DE UNA INTERFAZ GRÁFICA. DE ACUERDO CON ESTO, LA FUNCIONALIDAD DEL SOFTWARE INCLUYE DESDE LA LECTURA DE LA SEÑAL DE AUDIO, HASTA EL PROCESAMIENTO DE LA SEÑAL, LA EXTRACCIÓN DE CARACTERÍSTICAS, EL PROCESO DE CLASIFICACIÓN, HASTA LA MUESTRA DE RESULTADOS EN TIEMPO REAL POR MEDIO DE UNA INTERFAZ.
*VALERIA MARIN CEFERINO
*OLGA LUCÍA QUINTERO MONTOYA
*CHRISTIAN ANDRES DIAZ LEON
*DAVID RESTREPO RIVERA[MV3]
13-85-325
SENSOR VIRTUAL BASADO EN MODELO INTELIGENTE PARA ESTIMACIÓN DE PARÁMETROS CINEMÁTICOS Y DINÁMICOS DEL MIEMBRO SUPERIOR DE UN PACIENTE DE REHABILITACIÓN.
SE TRATA DE UN ALGORITMO QUE RECIBE VARIABLES FÍSICAS COMO TORQUE, ÁNGULO Y ACELERACIÓN DE LA MUÑECA DE LA MANO Y MEDIANTE INTELIGENCIA ARTIFICIAL ESTIMA LA RIGIDEZ PASIVA DE LA MUÑECA Y LA MASA DE LA MANO.
13-87-157
SISTEMA DE MONITOREO DE EMOCIONES CON UMAP
HERRAMIENTA ESCRITA COMPLETAMENTE EN PYTHON, LA CUAL UTILIZA LA VOZ DE UN SUJETO, Y GENERA UNA VISUALIZACIÓN QUE PERMITE DETERMINAR EL ESTADO EMOCIONAL DEL SUJETO. INCLUYE UN PIPELINE DE APRENDIZAJE DE MAQUINA, QUE SIRVE COMO PUNTO DE PARTIDA PARA EL PROGRAMA. INCLUYE EL USO DE LIBRERÍAS OPEN-SOURCE COMO, NUMPY Y PYWAVELET
QUE FACILITAN LA IMPLEMENTACIÓN, Y MATPLOTLIB (VISUALIZACIÓN), QUE PUEDE SER FÁCILMENTE INTERCAMBIABLE POR CUALQUIER HERRAMIENTA GRAFICA
*OLGA LUCÍA QUINTERO MONTOYA
*AGUSTIN RESTREPO CADAVID
13-91-299