most citedTowards a Real-Time Warning System for Detecting Inaccuracies in Photoplethysmography-Based Heart Rate Measurements in Wearable Devices

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.HC2025

Exploring Human-AI Interaction with Patient-Generated Health Data Sensemaking for Cardiac Risk Reduction

Pavithren V S Pakianathan, Rania Islambouli, Hannah McGowan +3

Patient-generated health data (PGHD) allows healthcare professionals to have a holistic and objective view of their patients. However, its integration in cardiac risk reduction rem…

cs.HC2025

Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data

Pavithren V S Pakianathan, Hannah McGowan, Isabel Höppchen +6

Physical activity planning is an essential part of cardiovascular rehabilitation. Through a two-part formative design exploration, we investigated integrating patient-generated hea…

cs.HC20251 cited

Towards a Real-Time Warning System for Detecting Inaccuracies in Photoplethysmography-Based Heart Rate Measurements in Wearable Devices

Rania Islmabouli, Marlene Brunner, Devender Kumar +6

Wearable devices with photoplethysmography (PPG) sensors are widely used to monitor heart rate (HR), yet often suffer from accuracy issues. However, users typically do not receive…

cs.HC2025

Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits

Zahra Hassanzadeh, David Haag, Lydia Chilton +3

One-minute behavior change interventions might seem too brief to matter. Could something so short really help people build healthier routines? This work explores this question thro…