1500+ Publications

25+ Therapeutic Areas

200+ Clinical Trials

  • Deep learning for Parkinson’s disease symptom detection and severity evaluation using accelerometer signal

    Author(s) : Gutowski T

    Journal / Source : https://www.researchgate.net/profile/Tomasz-Gutowski/publication/363623634_Deep_learning_for_Parkinson%27s_disease_symptom_detection_and_severity_evaluation_using_accelerometer_signal/links/633eddd576e39959d6a3a23e/Deep-learning-for-Parkinsons-disease-symptom-detection-and-severity-evaluation-using-accelerometer-signal.pdf

    Date : 22-Dec

    Tags : Nervous system disorder

  • Human activity recognition from sensorised patient’s data in healthcare: A streaming deep learning-based approach

    Author(s) : Hurtado A S, Nieto J G, Navas-Delgado I

    Journal / Source : https://www.ijimai.org/journal/bibcite/reference/3132

    Date : 22-Dec

    Tags : Physical Activity

  • Phase-Targeted Auditory Stimulation During Sleep Restriction: Can Slow Wave Activity Enhancement Compensate for Insufficient Slow Wave Sleep?

    Author(s) : Schneider N A

    Journal / Source : https://www.research-collection.ethz.ch/handle/20.500.11850/588612

    Date : 22-Dec

    Tags : Sleep

  • Accelerometer Use to Measure Physical Activity in Older Adults With Coronary Artery Disease: An Integrative Review

    Author(s) : Lee S, Bohplian S, Bronas U G

    Journal / Source : https://journals.lww.com/jcnjournal/Fulltext/9900/Accelerometer_Use_to_Measure_Physical_Activity_in.56.aspx

    Date : 22-Dec

    Tags : Physical Activity

  • Investigating the circulating sphingolipidome response to a single high-intensity interval training session within healthy females and males in their twenties (SphingoHIIT): Protocol for a randomised controlled trial

    Author(s) : Carrard J, Angst T, Weber N, Bienvenue J, Infanger D, Streese L, Hinrichs T, Croci I, Schmied C, Gallart-Ayala H, Höchsmann C

    Journal / Source : https://f1000research.com/articles/11-1565

    Date : 22-Dec

    Tags : Cardiometabolic

  • The Cross-Sectional Association Between Tinnitus and Actigraphy-Estimated Sleep in a Population-Based Cohort of Middle-Aged and Elderly Persons

    Author(s) : de Feijter M, Oosterloo B C, Goedegebure A, Luik A I

    Journal / Source : https://journals.lww.com/ear-hearing/Fulltext/9900/The_Cross_Sectional_Association_Between_Tinnitus.94.aspx

    Date : 22-Dec

    Tags : Sleep

  • Accelerometer-Measured Physical Activity, Inactivity, and Related Factors in Family Caregivers of Patients with Terminal Cancer

    Author(s) : Valero-Cantero I, Casals C, Corral-Pérez J, Barón-López F J, Wärnberg J, Vázquez-Sánchez M Á

    Journal / Source : https://www.mdpi.com/1660-4601/20/1/179

    Date : 22-Dec

    Tags : Physical Activity

  • Environmental Noise Exposure and Sleep Habits among Children in a Cohort from Northern Spain

    Author(s) : Arregi A, Lertxundi A, Vegas O, García-Baquero G, Ibarluzea J, Anabitarte A, Barroeta Z, Jimeno-Romero A, Subiza-Pérez M, Lertxundi N

    Journal / Source : https://www.mdpi.com/1660-4601/19/23/16321

    Date : 22-Dec

    Tags : Sleep

  • Steps parameters of elderly patients hospitalised for an acute medical illness in a Swiss University Hospital: an observational pilot study

    Author(s) : Tommasini F, Marques-Vidal P, Kayser B, Tasheva P, Ionescu A, Méan M

    Journal / Source : https://smw.ch/index.php/smw/article/view/3272

    Date : 22-Dec

    Tags : Physical Activity

  • Child Eveningness as a Predictor of Parental Sleep

    Author(s) : Rönnlund H, Elovainio M, Virtanen I, Heikkilä AR, Raaska H, Lapinleimu H

    Journal / Source : https://www.mdpi.com/2227-9067/9/12/1968

    Date : 22-Dec

    Tags : Sleep

  • Wrist accelerometer temporal analysis as a prognostic tool for aged care residents: A sub?study of the ReMInDAR trial

    Author(s) : Andrade A Q, Lim R, Kelly T L, Parfitt G, Pratt N, Roughead E E

    Journal / Source : https://agsjournals.onlinelibrary.wiley.com/doi/full/10.1111/jgs.18181

    Date : 22-Dec

    Tags : Measurement

  • Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable-based Sleep Assessment Technology

    Author(s) : Nunes A, Patterson M, Gerstel D, Khan S, Guo C, Neishabouri A

    Journal / Source : https://www.researchsquare.com/article/rs-2354368/v1

    Date : 22-Dec

    Tags : Sleep