Perception and behavior of InsBot : Robot-Animal interaction issues. - Fabien Tâche; Masoud Asadpour; Gilles Caprari; Walter Karlen; Roland Siegwart (ROBIO, 2005)

Sleep and Wake Classification With ECG and Respiratory Effort Signals. - Walter Karlen; Claudio Mattiussi; Dario Floreano (IEEE Trans. Biomed. Circuits Syst., 2009)

Adaptive wake and sleep detection for wearable systems. - Walter Karlen (2009)

An Adaptive Single Frequency Phase Vocoder for Low-power Heart Rate Detection - Development of a Fast and Low-power Heart Rate Estimation Algorithm for Mobile Phone Applications. - Walter Karlen; Guy Albert Dumont; Chris Petersen 001; Jennifer Gow; John Mark Ansermino (BIODEVICES, 2011)

Human-centered Phone Oximeter Interface Design for the Operating Room - Pulse Oximeter Interfaced to a Mobile Device for Anesthesia Monitoring in the Developing World. - Walter Karlen; Guy Albert Dumont; Chris Petersen 001; Jennifer Gow; Joanne Lim; Jules Sleiman; John Mark Ansermino (HEALTHINF, 2011)

Sleepic - Developments for a Wearable On-line Sleep and Wake Discrimination System. - Walter Karlen; Dario Floreano (BIOSIGNALS, 2011)

Photoplethysmogram Processing Using an Adaptive Single Frequency Phase Vocoder Algorithm. - Walter Karlen; Chris Petersen 001; Jennifer Gow; John Mark Ansermino; Guy Albert Dumont (BIOSTEC (Selected Papers), 2011)

Wavelet transform cardiorespiratory coherence detects patient movement during general anesthesia. - Christopher J. Brouse; Walter Karlen; Dorothy Myers; Erin Cooke; Jonathan Stinson; Joanne Lim; Guy Albert Dumont; John Mark Ansermino (EMBC, 2011)

Respiratory rate estimation using respiratory sinus arrhythmia from photoplethysmography. - Walter Karlen; Christopher J. Brouse; Erin Cooke; John Mark Ansermino; Guy Albert Dumont (EMBC, 2011)

Automated Validation of Capillary Refill Time Measurements Using Photo-Plethysmogram from a Portable Device for Effective Triage in Children. - Walter Karlen; Amelia Pickard; Jeremy P. Daniels; Arthur Kwizera; Charles Ibingira; Guy Albert Dumont; John Mark Ansermino (GHTC, 2011)

Adaptive Sleep-Wake Discrimination for Wearable Devices. - Walter Karlen; Dario Floreano (IEEE Trans. Biomed. Eng., 2011)

Real-time cardiorespiratory coherence detects antinociception during general anesthesia. - Chris J. Brouse; Walter Karlen; Guy Albert Dumont; Dorothy Myers; Erin Cooke; Jonathan Stinson; Joanne Lim; John Mark Ansermino (EMBC, 2012)

Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications. - Walter Karlen; John Mark Ansermino; Guy Albert Dumont (EMBC, 2012)

Design challenges for camera oximetry on a mobile phone. - Walter Karlen; Joanne Lim; John Mark Ansermino; Guy Albert Dumont; Cornie Scheffer (EMBC, 2012)

Pulse Rate Variability in Children with Disordered Breathing during Different Sleep Stages. - Parastoo Dehkordi; Ainara Garde; Walter Karlen; David Wensley; John Mark Ansermino; Guy Albert Dumont (CinC, 2013)

Empirical Mode Decomposition for Respiratory and Heart Rate Estimation from the Photoplethysmogram. - Ainara Garde; Walter Karlen; Parastoo Dehkordi; John Mark Ansermino; Guy Albert Dumont (CinC, 2013)

Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing. - Parastoo Dehkordi; Ainara Garde; Walter Karlen; David Wensley; John Mark Ansermino; Guy Albert Dumont (EMBC, 2013)

Oxygen saturation in children with and without obstructive sleep apnea using the phone-oximeter. - Ainara Garde; Walter Karlen; Parastoo Dehkordi; David Wensley; John Mark Ansermino; Guy Albert Dumont (EMBC, 2013)

Detection of the optimal region of interest for camera oximetry. - Walter Karlen; John Mark Ansermino; Guy Albert Dumont; Cornie Scheffer (EMBC, 2013)

Recognition of correct finger placement for photoplethysmographic imaging. - Walter Karlen; Joanne Lim; John Mark Ansermino; Guy Albert Dumont; Cornie Scheffer (EMBC, 2013)

Multiparameter Respiratory Rate Estimation From the Photoplethysmogram. - Walter Karlen; Srinivas Raman; John Mark Ansermino; Guy Albert Dumont (IEEE Trans. Biomed. Eng., 2013)

Sleep Stage Classification in Children using Photoplethysmogram Pulse Rate Variability. - Parastoo Dehkordi; Ainara Garde; Walter Karlen; David Wensley; John Mark Ansermino; Guy Albert Dumont (CinC, 2014)

Oxygen saturation resolution influences regularity measurements. - Ainara Garde; Walter Karlen; Parastoo Dehkordi; John Mark Ansermino; Guy Albert Dumont (EMBC, 2014)

Sharing Vital Signs between mobile phone applications. - Walter Karlen; Guy Albert Dumont; Cornie Scheffer (EMBC, 2014)

Respiratory rate assessment from photoplethysmographic imaging. - Walter Karlen; Ainara Garde; Dorothy Myers; Cornie Scheffer; John Mark Ansermino; Guy Albert Dumont (EMBC, 2014)

Design of an interactive medical guideline application for community health workers. - Walter Karlen; Cornie Scheffer (EMBC, 2014)

Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry. - Walter Karlen; Ainara Garde; Dorothy Myers; Cornie Scheffer; John Mark Ansermino; Guy Albert Dumont (IEEE J. Biomed. Health Informatics, 2015)

A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate. - Xiao-Rong Ding; Yuan-Ting Zhang; Hon Ki Tsang; Walter Karlen (EMBC, 2016)

Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. - Patrick Schwab; Gaetano Claudio Scebba; Jia Zhang; Marco Delai; Walter Karlen (CinC, 2017)

Improving ROI detection in photoplethysmographic imaging with thermal cameras. - Gaetano Scebba; Jelena Dragas; Suyi Hu; Walter Karlen (EMBC, 2017)

Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. - Patrick Schwab; Emanuela Keller; Carl Muroi; David J. Mack; Christian Strässle; Walter Karlen (ICML, 2018)

Automation in medicine: from homecare to clinical applications. - Walter Karlen; Thomas Schauer; Knut Möller; Olaf Simanski (Autom., 2018)

Granger-causal Attentive Mixtures of Experts. - Patrick Schwab; Walter Karlen (CoRR, 2018)

Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. - Patrick Schwab; Lorenz Linhardt; Walter Karlen (CoRR, 2018)

PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. - Patrick Schwab; Walter Karlen (AAAI, 2019)

Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. - Patrick Schwab; Djordje Miladinovic; Walter Karlen (AAAI, 2019)

CXPlain: Causal Explanations for Model Interpretation under Uncertainty. - Patrick Schwab; Walter Karlen (NeurIPS, 2019)

Forecasting intracranial hypertension using multi-scale waveform metrics. - Matthias Hüser; Adrian Kündig; Walter Karlen; Valeria De Luca; Martin Jaggi (CoRR, 2019)

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. - Patrick Schwab; Lorenz Linhardt; Stefan Bauer; Joachim M. Buhmann; Walter Karlen (AAAI, 2020)

Wearable bioimpedance for continuous and context-aware clinical monitoring. - Abhilash Guru Dutt; Michaela Verling; Walter Karlen (EMBC, 2020)

Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate. - Jia Zhang; Gaetano Scebba; Walter Karlen (EMBC, 2020)

Remote health monitoring in the time of COVID-19. - Joachim A. Behar; Chengyu Liu 001; Kenta Tsutsui; Valentina D. A. Corino; Janmajay Singh; Marco A. F. Pimentel; Walter Karlen; Philip Warrick; Sebastian Zaunseder; Fernando Andreotti; Maxim Osipov; Patrick E. McSharry; et al. (CoRR, 2020)

Pulse transit time based respiratory rate estimation with singular spectrum analysis. - Xiao-Rong Ding; Bryan P. Yan; Walter Karlen; Yuan-Ting Zhang; Hon Ki Tsang (Medical Biol. Eng. Comput., 2020)

Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation. - Gaetano Scebba; Jia Zhang; Sabrina Catanzaro; Carina Mihai; Oliver Distler; Martin Berli; Walter Karlen (CoRR, 2021)

Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea. - Gaetano Scebba; Giulia Da Poian; Walter Karlen (IEEE Trans. Biomed. Eng., 2021)

A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. - Patrick Schwab; Walter Karlen (IEEE J. Biomed. Health Informatics, 2021)

Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG. - Neng-Tai Chiu; Stephanie Huwiler; Maria Laura Ferster; Walter Karlen; Hau-Tieng Wu; Caroline Lustenberger (Biomed. Signal Process. Control., 2022)

Benchmarking Real-Time Algorithms for In-Phase Auditory Stimulation of Low Amplitude Slow Waves With Wearable EEG Devices During Sleep. - Maria Laura Ferster; Giulia Da Poian; Kiran Menachery; Simon J. Schreiner; Caroline Lustenberger; Angelina Maric; Reto Huber; Christian R. Baumann; Walter Karlen (IEEE Trans. Biomed. Eng., 2022)

Real-Time Detection of Sleep Arousals with a Head-Mounted Accelerometer. - Tugce Canbaz Gumussu; Giulia Da Poian; Silvano Cortesi; Walter Karlen (EMBC, 2023)

Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms. - Khrystyna Semkiv; Jia Zhang; Maria Laura Ferster; Walter Karlen (CoRR, 2025)