Felix Kluge

About Felix Kluge

Felix Kluge, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Digital Health, Data Science, Machine Learning, Statistics, Biomechanics.

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

Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)

Gaitmap–An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking

Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist-Worn Accelerometer Data: Development and Validation of ElderNet

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

O. 5.2-7 Listening to the patients’ voice: a conceptual framework of the walking experience

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Listening to the patients’ voice: a conceptual framework of the walking experience

Felix Kluge Information

University

Position

Machine Learning and Data Analytics Lab

Citations(all)

1225

Citations(since 2020)

1064

Cited By

390

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

29

i10Index(since 2020)

29

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Felix Kluge Skills & Research Interests

Digital Health

Data Science

Machine Learning

Statistics

Biomechanics

Top articles of Felix Kluge

Title

Journal

Author(s)

Publication Date

Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)

BMJ open

Cecilia Raccagni

Victoria Sidoroff

Anisoara Paraschiv-Ionescu

Nils Roth

Gudrun Schönherr

...

2024/5/1

Gaitmap–An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking

IEEE Open Journal of Engineering in Medicine and Biology

Arne Küderle

Martin Ullrich

Nils Roth

Malte Ollenschläger

Alzhraa A Ibrahim

...

2024/1/22

Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist-Worn Accelerometer Data: Development and Validation of ElderNet

Yonatan E Brand

Felix Kluge

Luca Palmerini

Anisoara Paraschiv-Ionescu

Clemens Becker

...

2024/3/15

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

JMIR Formative Research

F Kluge

YE Brand

E Micó-Amigo

S Bertuletti

I D'Ascanio

...

2023

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

Scientific Reports

Cameron Kirk

Arne Küderle

M Encarna Micó-Amigo

Tecla Bonci

Anisoara Paraschiv-Ionescu

...

2024/1/19

O. 5.2-7 Listening to the patients’ voice: a conceptual framework of the walking experience

European Journal of Public Health

Laura Delgado-Ortiz

Ashley Polhemus

Alison Keogh

Norman Sutton

Werner Remmele

...

2023/9/1

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Journal of neuroengineering and rehabilitation

M Encarna Micó-Amigo

Tecla Bonci

Anisoara Paraschiv-Ionescu

Martin Ullrich

Cameron Kirk

...

2023/6/14

Listening to the patients’ voice: a conceptual framework of the walking experience

Age and Ageing

Laura Delgado-Ortiz

Ashley Polhemus

Alison Keogh

Norman Sutton

Werner Remmele

...

2023/1/1

uTUG: An unsupervised Timed Up and Go test for Parkinson’s disease

Biomedical Signal Processing and Control

João Elison da Rosa Tavares

Martin Ullrich

Nils Roth

Felix Kluge

Bjoern M Eskofier

...

2023/3/1

Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis

International Journal of Medical Informatics

Alzhraa A Ibrahim

Werner Adler

Heiko Gaßner

Veit Rothhammer

Felix Kluge

...

2023/9/1

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

Frontiers in Neurology

Robbin Romijnders

Francesca Salis

Clint Hansen

Arne Küderle

Anisoara Paraschiv-Ionescu

...

2023/10/16

A multi-sensor wearable system for gait assessment in real-world conditions: performance in individuals with impaired mobility

Francesca Salis

Stefano Bertuletti

Tecla Bonci

Marco Caruso

Kirsty Scott

...

2023/1/17

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

Frontiers in Bioengineering and Biotechnology

Francesca Salis

Stefano Bertuletti

Tecla Bonci

Marco Caruso

Kirsty Scott

...

2023/4/21

Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning

Orphanet Journal of Rare Diseases

Malte Ollenschläger

Patrick Höfner

Martin Ullrich

Felix Kluge

Teresa Greinwalder

...

2023/8/29

Estimating real-world walking speed from a single wearable device: analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study

Cameron Kirk

Arne Kuederle

M Encarna Mico-Amigo

Tecla Bonci

Anisoara Paraschiv-Ionescu

...

2023/6/22

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization

Scientific Data

Luca Palmerini

Luca Reggi

Tecla Bonci

Silvia Del Din

M Encarna Micó-Amigo

...

2023/1/19

Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis

Multiple Sclerosis and Related Disorders

Alzhraa A Ibrahim

Felix Flachenecker

Heiko Gaßner

Veit Rothhammer

Jochen Klucken

...

2022/2/1

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

European Geriatric Medicine

Malte Ollenschläger

Felix Kluge

Matthias Müller-Schulz

Rupert Püllen

Claudia Möller

...

2022/8

Sensor-based gait analysis provides robust results in comparison to motion capture: A validation study in Parkinson's disease

Gait & Posture

H Gaßner

V Jakob

A Küderle

F Kluge

J Klucken

...

2022/9/1

Fall risk prediction in Parkinson's disease using real-world inertial sensor gait data

IEEE journal of biomedical and health informatics

Martin Ullrich

Nils Roth

Arne Küderle

Robert Richer

Till Gladow

...

2022/10/19

See List of Professors in Felix Kluge University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

H-index: 87
Lynn Rochester

Lynn Rochester

Newcastle University

H-index: 56
Jochen Klucken

Jochen Klucken

Université du Luxembourg

H-index: 48
Bjoern M. Eskofier

Bjoern M. Eskofier

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 37
ANDREA CEREATTI

ANDREA CEREATTI

Politecnico di Torino

H-index: 36
Silvia Del Din

Silvia Del Din

Newcastle University

H-index: 25
Clint Hansen

Clint Hansen

Christian-Albrechts-Universität zu Kiel

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