1 citations · 1 across the 7 of their papers we have counts for
7 papers
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari +5
While ECG data is crucial for diagnosing and monitoring heart conditions, it also contains unique biometric information that poses significant privacy risks. Existing ECG re-identi…
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach
Kianoosh Kazemi, Iina Ryhtä, Iman Azimi +4
The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially thos…
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele +2
Electroencephalography (EEG) recordings are analyzed using battery-powered wearable devices to monitor brain activities and neurological disorders. These applications require long…
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg +1
Respiratory rate (RR) serves as an indicator of various medical conditions, such as cardiovascular diseases and sleep disorders. These RR estimation methods were mostly designed fo…
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini +4
Smart eHealth applications deliver personalized and preventive digital healthcare services to clients through remote sensing, continuous monitoring, and data analytics. Smart eHeal…
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri +3
eHealth systems deliver critical digital healthcare and wellness services for users by continuously monitoring physiological and contextual data. eHealth applications use multi-mod…