Search Results for author: Pasi Liljeberg

Found 5 papers, 0 papers with code

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach

no code implementations25 Feb 2024 Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilen, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg

Our result shows that performing adequate physical activity during pregnancy and postpartum improves the QoL by units of 7. 3 and 3. 4 on average in physical health and psychological domains, respectively.

Causal Discovery Causal Inference +1

Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs

no code implementations15 Feb 2024 Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele, Pasi Liljeberg, Anil Kanduri

We present a combinatorial evaluation of power-performance-accuracy trade-offs of EEG applications at different approximation, power, and performance levels to provide insights into the disciplined tuning of approximation in EEG applications on embedded platforms.

EEG Seizure Detection

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU

no code implementations10 Jan 2024 Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

The increasing popularity of smartwatches, equipped with various sensors including PPG, has prompted the need for a robust RR estimation method.

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms

no code implementations16 Oct 2023 Zain Taufique, Antonio Miele, Pasi Liljeberg, Anil Kanduri

Heterogeneity among edge devices and accuracy-performance trade-offs of DNN models present a complex exploration space while catering to the inference performance requirements.

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications

no code implementations4 Aug 2022 Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil Dutt, Amir M. Rahmani

Smart eHealth applications deliver personalized and preventive digital healthcare services to clients through remote sensing, continuous monitoring, and data analytics.

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