{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T22:27:17Z","timestamp":1770848837595,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","funder":[{"name":"NSERC"},{"name":"ResearchNB"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,28]]},"DOI":"10.1145\/3768617.3770734","type":"proceedings-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T22:00:56Z","timestamp":1770847256000},"page":"50-55","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight 1D UNet-CPCA Regression Model for Energy-Efficient Blood Pressure Estimation from Raw PPG Signals"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9925-6750","authenticated-orcid":false,"given":"Amir","family":"Arjomand","sequence":"first","affiliation":[{"name":"University of New Brunswick, Fredericton, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2764-823X","authenticated-orcid":false,"given":"Kenneth B.","family":"Kent","sequence":"additional","affiliation":[{"name":"University of New Brunswick, Fredericton, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3173-1338","authenticated-orcid":false,"given":"Georgiy","family":"Krylov","sequence":"additional","affiliation":[{"name":"University of New Brunswick, Fredericton, Canada"}]}],"member":"320","published-online":{"date-parts":[[2026,2,11]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"TransfoRhythm: A transformer architecture conductive to blood pressure estimation via solo PPG signal capturing. arXiv preprint arXiv:2404.15352","author":"Arjomand Amir","year":"2024","unstructured":"Amir Arjomand, Amin Boudesh, Farnoush Bayatmakou, Kenneth B. Kent, and Arash Mohammadi. 2024. TransfoRhythm: A transformer architecture conductive to blood pressure estimation via solo PPG signal capturing. arXiv preprint arXiv:2404.15352 (2024). https:\/\/arxiv.org\/abs\/2404.15352 arXiv:2404.15352."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21051867"},{"key":"e_1_3_2_1_3_1","volume-title":"Pattern Recognition and Machine Learning","author":"Bishop Christopher M.","unstructured":"Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning. Springer."},{"key":"e_1_3_2_1_4_1","volume-title":"Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. In 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 1\u20135.","author":"Burrello Alessio","year":"2024","unstructured":"Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, and Daniele Jahier Pagliari. 2024. Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. In 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 1\u20135."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02345755"},{"key":"e_1_3_2_1_6_1","volume-title":"Compute and energy consumption trends in deep learning inference. arXiv preprint arXiv:2109.05472","author":"Desislavov Radosvet","year":"2021","unstructured":"Radosvet Desislavov, Fernando Mart\u00ednez-Plumed, and Jos\u00e9 Hern\u00e1ndez-Orallo. 2021. Compute and energy consumption trends in deep learning inference. arXiv preprint arXiv:2109.05472 (2021). https:\/\/arxiv.org\/abs\/2109.05472 arXiv:2109.05472."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3549238"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533467"},{"key":"e_1_3_2_1_9_1","volume-title":"arXiv preprint arXiv:1504.08083","author":"Girshick Ross","year":"2015","unstructured":"Ross Girshick. 2015. Fast R-CNN. arXiv preprint arXiv:1504.08083 (2015). https:\/\/arxiv.org\/abs\/1504.08083 arXiv:1504.08083."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3086952"},{"key":"e_1_3_2_1_11_1","volume-title":"Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752","author":"Gu Albert","year":"2023","unstructured":"Albert Gu and Tri Dao. 2023. Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752 (2023). https:\/\/arxiv.org\/abs\/2312.00752 arXiv:2312.00752."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108784"},{"key":"e_1_3_2_1_14_1","volume-title":"Leo Anthony Celi, and Roger Mark","author":"Johnson Alistair","year":"2024","unstructured":"Alistair Johnson, Luca Bulgarelli, Tom Pollard, Brian Gow, Bill Moody, Steven Horng, Leo Anthony Celi, and Roger Mark. 2024. MIMIC-IV (version 3.1). doi:10. 13026\/kpb9-mt58 RRID:SCR_007345."},{"key":"e_1_3_2_1_15_1","volume-title":"2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE","author":"Kachuee Mohammad","year":"2015","unstructured":"Mohammad Kachuee, Mohammad Mahdi Kiani, Hoda Mohammadzade, and Mahdi Shabany. 2015. Cuffless high-accuracy calibration-free blood pressure estimation using pulse transit time. In 2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, Piscataway, NJ, USA, 1006\u20131009."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-66514-y"},{"key":"e_1_3_2_1_17_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2015). https:\/\/arxiv.org\/abs\/1412.6980 arXiv:1412.6980."},{"key":"e_1_3_2_1_18_1","volume-title":"Implantables: Harnessing sensor technologies for continuous health monitoring","author":"Asish Koruprolu","year":"2025","unstructured":"Asish Koruprolu et al. 2025. From Wearables to Implantables: Harnessing sensor technologies for continuous health monitoring. IEEE Transactions on Biomedical Circuits and Systems (2025)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2968067"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20195606"},{"key":"e_1_3_2_1_21_1","volume-title":"DiffCNBP: Lightweight Diffusion Model for IoMT-Based Continuous Cuffless Blood Pressure Waveform Monitoring Using PPG","author":"Ma Chenbin","year":"2024","unstructured":"Chenbin Ma, Lishuang Guo, Haonan Zhang, Zhenchang Liu, and Guanglei Zhang. 2024. DiffCNBP: Lightweight Diffusion Model for IoMT-Based Continuous Cuffless Blood Pressure Waveform Monitoring Using PPG. IEEE Internet of Things Journal (2024)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104247"},{"key":"e_1_3_2_1_23_1","first-page":"1089","article-title":"A comparison of the British Hypertension Society and Association for the Advancement of Medical Instrumentation protocols for validating blood pressure measuring devices: can the two be reconciled","volume":"12","author":"O'Brien Eoin","year":"1994","unstructured":"Eoin O'Brien and Neil Atkins. 1994. A comparison of the British Hypertension Society and Association for the Advancement of Medical Instrumentation protocols for validating blood pressure measuring devices: can the two be reconciled? Journal of Hypertension 12, 9 (1994), 1089\u20131094.","journal-title":"Journal of Hypertension"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_25_1","volume-title":"Staudemeyer and Eric Rothstein Morris","author":"Ralf","year":"2019","unstructured":"Ralf C. Staudemeyer and Eric Rothstein Morris. 2019. Understanding LSTM-a tutorial into long short-term memory recurrent neural networks. arXiv preprint arXiv:1909.09586 (2019). https:\/\/arxiv.org\/abs\/1909.09586 arXiv:1909.09586."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1097\/HJH.0000000000001634"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104040"},{"key":"e_1_3_2_1_28_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems, Vol. 30. https:\/\/papers.nips.cc\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41378-023-00590-4"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.3354\/cr030079"},{"key":"e_1_3_2_1_31_1","unstructured":"Soheil Zabihi et al. 2021. BP-Net: Cuff-less Calibration-free and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture. arXiv preprint arXiv:2112.15271 (2021). https:\/\/arxiv.org\/abs\/2112.15271 arXiv:2112.15271."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164"}],"event":{"name":"RSP '25: 36th International Workshop on Rapid System Prototyping","location":"Taipei Taiwan","acronym":"RSP '25","sponsor":["SIGDA ACM Special Interest Group on Design Automation","SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the 36th International Workshop on Rapid System Prototyping"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3768617.3770734","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T22:01:10Z","timestamp":1770847270000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3768617.3770734"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,28]]},"references-count":32,"alternative-id":["10.1145\/3768617.3770734","10.1145\/3768617"],"URL":"https:\/\/doi.org\/10.1145\/3768617.3770734","relation":{},"subject":[],"published":{"date-parts":[[2025,9,28]]},"assertion":[{"value":"2026-02-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}