Fernando Seoane

About Fernando Seoane

Fernando Seoane, With an exceptional h-index of 32 and a recent h-index of 22 (since 2020), a distinguished researcher at Högskolan i Borås, specializes in the field of Electrical Bioimpedance, Biomedical Engineering, Biomedical Instrumentation, Biomedical Signal Processing, Wearable Sensors.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enable care of older cancer survivors with digital health technologies: the LifeChamps project

Bioimpedance analysis in patients with chronic kidney disease

Process mining and data mining applications in the domain of chronic diseases: A systematic review

Multidimensional physiology: novel techniques and discoveries with bioimpedance measurements

Time-series NARX feedback neural network for forecasting impedance cardiography ICG missing points: a predictive model

Parameter Estimation of the Single-Dispersion Fractional Cole-Impedance Model with the Embedded Hardware

Artificial intelligence in process modelling in oncology

Sensorized T-Shirt with Intarsia-Knitted Conductive Textile Integrated Interconnections: Performance Assessment of Cardiac Measurements during Daily Living Activities

Fernando Seoane Information

University

Position

Full Professor/Senior Lecturer / Karolinska Institute

Citations(all)

2870

Citations(since 2020)

1575

Cited By

1863

hIndex(all)

32

hIndex(since 2020)

22

i10Index(all)

73

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Fernando Seoane Skills & Research Interests

Electrical Bioimpedance

Biomedical Engineering

Biomedical Instrumentation

Biomedical Signal Processing

Wearable Sensors

Top articles of Fernando Seoane

Enable care of older cancer survivors with digital health technologies: the LifeChamps project

2023/10/9

Bioimpedance analysis in patients with chronic kidney disease

2023/9

Process mining and data mining applications in the domain of chronic diseases: A systematic review

2023/8/29

Farhad Abtahi
Farhad Abtahi

H-Index: 11

Fernando Seoane
Fernando Seoane

H-Index: 18

Multidimensional physiology: novel techniques and discoveries with bioimpedance measurements

Frontiers in Physiology

2023/6/29

Fernando Seoane
Fernando Seoane

H-Index: 18

Lin Yang
Lin Yang

H-Index: 51

Time-series NARX feedback neural network for forecasting impedance cardiography ICG missing points: a predictive model

Frontiers in Physiology

2023/6/6

Fernando Seoane
Fernando Seoane

H-Index: 18

Parameter Estimation of the Single-Dispersion Fractional Cole-Impedance Model with the Embedded Hardware

IEEE Sensors Journal

2023/4/28

Fernando Seoane
Fernando Seoane

H-Index: 18

Artificial intelligence in process modelling in oncology

Frontiers in Oncology

2023

Fernando Seoane
Fernando Seoane

H-Index: 18

Sensorized T-Shirt with Intarsia-Knitted Conductive Textile Integrated Interconnections: Performance Assessment of Cardiac Measurements during Daily Living Activities

Sensors

2023/1

The role of compression in large scale data transfer and storage of typical biomedical signals at hospitals

Health Informatics Journal

2023/11/15

Three-lead in vivo measurement method for determining the skin-electrode impedance of textile electrodes: A fast, accurate and easy-to-use measurement method suitable for …

2023/11

Fernando Seoane
Fernando Seoane

H-Index: 18

Seamlessly integrated textile electrodes and conductive routing in a garment for electrostimulation: design, manufacturing and evaluation

Scientific Reports

2023/10/13

Fernando Seoane
Fernando Seoane

H-Index: 18

Sensorized T-Shirt with Fully Integreated Textrodes and Measurement Leads with Textile Friendly Methods

2022/11

Seamless integration of textile-electronics in knitted fabrics for personalized health

2022

Fernando Seoane
Fernando Seoane

H-Index: 18

Classification of impedance cardiography dZ/dt complex subtypes using pattern recognition artificial neural networks

Biomedical Engineering/Biomedizinische Technik

2021/10/1

Fernando Seoane
Fernando Seoane

H-Index: 18

Evaluation of dZ/dt Complex Subtypes vs Ensemble Averaging Method for Estimation of Left Ventricular Ejection Time from ICG Recording

2021

Fernando Seoane
Fernando Seoane

H-Index: 18

First steps toward automated classification of impedance cardiography dZ/dt complex subtypes

2021

Fernando Seoane
Fernando Seoane

H-Index: 18

Value-driven digital transformation in health and medical care

Interactive Process Mining in Healthcare

2021

Recommendations for enhancing the usability and understandability of process mining in healthcare

Artificial Intelligence in Medicine

2020/9/1

A wrapper feature selection algorithm: An emotional assessment using physiological recordings from wearable sensors

Sensors

2020/1/6

See List of Professors in Fernando Seoane University(Högskolan i Borås)

Co-Authors

academic-engine