Publications

2024

A scoping review on advancements in noninvasive wearable technology for heart failure management

Scholte, N.T.B., Ravensberg, van, A.E., Shakoor, A., Boersma, H., Ronner, E., Boer, de, R.A., Brugts, J.J., Bruining, N., Boon, van der, R.M.A.

GameBus on FHIR
Geng, C., Khanshan, A., Van Gorp, P.

PATE: Proximity-Aware Time series anomaly Evaluation (accepted at SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024),). See also: Python package
Ghorbani, R., Reinders, M.J.T., Tax, D.M.J.

Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification
Ghorbani, R., Reinders, M.J.T., Tax, D.M.J

Toward Enhancing Diabetes Self-Management with Personalization through Human Digital Twins for Behavior Change (tue.nl)
De Oliveira, C. D., James, L., Khanshan, A., & Van Gorp, P.

Interoperable Rule-based Alert Management for Patient Telemonitoring — Eindhoven University of Technology research portal (tue.nl)
Khanshan, A., Van Gorp, P., & Markopoulos, P.

Evaluation of Code Generation for Simulating Participant Behavior in Experience Sampling Method by Iterative In-Context Learning of a Large Language Model
Khanshan, A., Van Gorp, P., & Markopoulos, P.

Acute Coronary Syndrome Subphenotypes Based on Repeated Biomarker Measurements in Relation to Long-Term Mortality Risk
De Bakker M., Scholte N.T.B., Oemrawsingh R.M., Umans V.A., Kietselaer B., Schotborgh C., Ronner E., Lenderink T., Aksoy I., van der Harst, P., Asselbergs, F.W., Maas, A., Oude Ophuis, A.J., Krenning, B., de Winter, R.J., The, S.H.K., Wardeh, A.J., Hermans, W., Cramer, G.E., van Schaik, R.H., de Rijke, Y.B., Akkerhuis, K.M., Kardys, I., Boersma, E.; BIOMArCS Investigators †.

Opties voor thuismonitoring bij patiënten met hartfalen (Options for home telemonitoring in heart failure patients)
Scholte, N.T.B., Brugts, J.J.

Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study.
Edgar, R, Scholte, N.T.B., Ebrahimkheil, K., Brouwer, M.A., Beukema, R.J., Mafi-Rad, M., Vernooy, K., Yap, S.C., Ronner, E., van Mieghem, N., Boersma, E., Stas, P.C., van Royen, N., Bonnes, J.L.

Photoplethysmography and intracardiac pressures: early insights from a pilot study
Scholte, N.T.B., van Ravensberg, A.E. Edgar, R. van den Enden, A.J.M., van Mieghem, N.M.D.A., Brugts, J.J., Bonnes, J.L., Bruining, N., van der Boon, R.M.A.

Machine learning–based analysis of non-invasive measurements for predicting intracardiac pressures
van Ravensberg, A.E., Scholte, N.T.B., Khader, A.O., Brugts, J.J., Bruining, N., van der Boon, R.M.A.

2023

Toward Designing for Social Connectedness in Cardiovascular Disease Self-Care.

Cerón-Guzmán, J. A., Tetteroo, D., Hu, J., & Markopoulos, P.

Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability.

Ghorbani R., Reinders, M.J.T., Tax, D.M.J.

Use of Loop Diuretics in Patients with Chronic Heart failure; an Observational Overview.

Scholte, N.T.B., Aydin, D., Linssen, G.C.M., Koudstaal, S., Rademaker P.C., Geerlings, P.R., Van Gent, M.W.F., Aksoy I., Oosterom, L., Boersma, E.

Clinician Attitudes Towards Telemonitoring for Heart Failure Care: Opportunities for Design Research

Vugs, S., Scholte, N.T.B., Markopoulos, P., Ronner, E.

Simulating Participant Behavior in Experience Sampling Method Research

Khanshan, A., Van Gorp, P., Markopoulos, P.

Telemonitoring for Heart Failure: A Meta-Analyis

Scholte, N.T.B., Gürgöze, M.T., Aydin, D., Theuns, D.A.M.J., Maninthveld, O.C., Ronner, E., Boersma, E., De Boer, R.A., Van Der Boon, R.M.A., Brugts, J.J.

Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool

Khanshan, A., Van Gorp, P., Markopoulos, P.

A Case Study of Data-Enabled Design for Cardiac Telemonitoring

Khanshan, A., Gilling, L., Markopoulos, P., Van Gorp, P.

Exploring the Feasibility of Data-Driven Emotion Modeling for Human Digital Twins | Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments

Dias De Oliveira, C., Khanshan, A., & Van Gorp, P.

Comparative Evaluation of Touch-Based Input Techniques for Experience Sampling on Smartwatches | Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia

Markopoulos, P., Khanshan, A., Bormans, S., Tisza, G., Kang, L., & Van Gorp, P.

2022

“Not Sure Sharing Does Anything Extra for Me”: Understanding How People with Cardiovascular Disease Conceptualize Sharing Personal Health Data with Peers.

Cerón-Guzmán, J.A., Tetteroo, D., Hu, J., Markopoulos, P.

From Simulation to Reality and Back Again: A Hybrid Approach to Estimate the Compliance of ESM Study Participants to Different ESM Protocols

Khanshan, A.

Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial.

Nuijten, R.C.Y., Van Gorp, P.M.E., Khanshan, A., Le Blanc, P., Van Den Berg, P., Kemperman, A., Simons, M.

2021

Health Promotion through Monetary Incentives: Evaluating the Impact of Different Reinforcement Schedules on Engagement Levels with a mHealth App.

Nuijten, R.C.Y., Van Gorp, P.M.E., Khanshan, A., Le Blanc, P.M., Kemperman, A.D.A.M., Van Den Berg, P.E.W., Simons, M.

Assessing the Influence of Physical Activity Upon the Experience Sampling Response Rate on Wrist-Worn Devices

Khanshan, A., Van Gorp, P., Nuijten, R.C.Y., Markopoulos, P.

2020

Actionable knowledge discovery from social networks using causal structures of structural features.

Kalanat, N., Khanshan, A., Khanjari, E.

Extracting Actionable Knowledge From Social Networks Using Structural Features.

Kalanat, N., Khanjari, E., Khanshan, A.