• Electrode placement strategies for the measurement of radial artery bioimpedance : simulations and experimentsPesti, Ksenija; Metshein, Margus; Annus, Paul; Kõiv, Hip; Min, MartIEEE transactions on instrumentation and measurement2021 / 10 p. : ill https://doi.org/10.1109/TIM.2020.3011784 https://www.scopus.com/sourceid/15361 https://www.scopus.com/record/display.uri?eid=2-s2.0-85098085471&origin=inward&txGid=20476b58670ca68c6b8d08747f188b5b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20INSTRUM%20MEAS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000671730000005
  • Evaluation of level-crossing ADCs for event-driven ECG classificationSaeed, Maryam; Wang, Qingyuan; Märtens, OlevIEEE Transactions on Biomedical Circuits and Systems2021 / p. 1129-1139 https://doi.org/10.1109/TBCAS.2021.3136206 https://www.scopus.com/sourceid/5700191219 https://www.scopus.com/record/display.uri?eid=2-s2.0-85121812651&origin=inward&txGid=769428c54979203e5da49da4e5204b4b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20BIOMED%20CIRC%20S&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000757856200006
  • Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled datasetSaeed, Maryam; Wang, Qingyuan; Märtens, Olev; Larras, Benoit; Frappe, Antoine; Cardiff, Barry; John, Deepu2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401333 https://www.scopus.com/sourceid/56190 https://www.scopus.com/record/display.uri?eid=2-s2.0-85109038232&origin=inward&txGid=99d718ec50a3dfe97573c60b0437997d https://www.webofscience.com/wos/woscc/full-record/WOS:000696765400277
  • Hardware imitation of the varying bioelectrical impedance for testing the device for measurement of the impedance of human trunk by using a JFETMetshein, Margus21st 2016 International Conference on Applied Electronics : Pilsen, 6-7 September 20162016 / p. 173-176 : ill https://doi.org/10.1109/AE.2016.7577267
  • Latest research trends in gait analysis using wearable sensors and machine learning: A systematic reviewSaboor, Abdul; Kask, Triin; Kuusik, Alar; Alam, Muhammad Mahtab; Le Moullec, YannickIEEE Access2020 / art. 3022818, p. 167830−167864 https://doi.org/10.1109/ACCESS.2020.3022818 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85100409488&origin=inward&txGid=698683f16632643e3182cc2e31a35d1e https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000572977500001
  • Performance comparison of smartphones and a wearable motion sensor for patient m-assessment [Online resource]Kask, Triin; Kuusik, AlarBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182018 / 4 p.: ill https://doi.org/10.1109/BEC.2018.8600973
  • Real-time gait anomaly detection using 1D-CNN and LSTMRostovski, Jakob; Ahmadilivani, Mohammad Hasan; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad MahtabDigital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II2024 / p. 260-278 https://doi.org/10.1007/978-3-031-59091-7_17 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85193513969&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=ALL%28%22Real-Time+Gait+Anomaly+Detection+Using+1D-CNN+and+LSTM%22%29&sessionSearchId=a1950993a8713b95c4defac4e2fbf8c1&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001265181000017
  • Real-time gait anomaly detection using SVM time series classificationRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad Mahtab; Ahmadov, Ulvi2023 International Wireless Communications and Mobile Computing (IWCMC)2023 / p. 1389-1394 https://doi.org/10.1109/IWCMC58020.2023.10182666
  • A survey on the roles of communication technologies in IoT-based personalized healthcare applicationsAlam, Muhammad Mahtab; Malik, Hassan; Khan, Muhidul Islam; Pardy, Tamas; Kuusik, Alar; Le Moullec, YannickIEEE Access2018 / p. 36611-36631 : ill https://doi.org/10.1109/ACCESS.2018.2853148 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85049430626&origin=inward&txGid=179d2c146c86baa6cd5c4b0c112fbd9e https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000439698700013
  • SVM Time series classification of selected gait abnormalitiesRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Ahmadov, UlviBODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings2022 / 15 p https://doi.org/10.1007/978-3-030-95593-9_16 https://www.scopus.com/sourceid/21100220348 https://www.scopus.com/record/display.uri?eid=2-s2.0-85125285889&origin=inward&txGid=58150577be6797f88350cdfc1caceeb4 https://www.webofscience.com/wos/woscc/full-record/WOS:000774502300016