Physiological Measurement (PM)

Physiological Measurement (PMEA) publishes papers about sensing, assessing, visualizing, modelling, classifying, predicting, and controlling physiological functions in clinical research and practice. Particular emphasis is put on the development of state-of-the-art methods such as artificial intelligence (AI) and machine learning algorithms, novel applications, and rigorous large-scale validation of existing methods. PMEA provides a well-balanced venue to bring together physiologists, clinicians, engineers, computer scientists, and data scientists to support the development and translation of novel ideas and solutions to promote human health (both physical and mental). PMEA supports various types of publications and welcomes both methodological and application-oriented manuscripts, across the following list of topic areas. This list is not meant to be exhaustive, but rather illustrates the breadth of topics covered by PMEA.

Physiological Measurement (PM) is :-

• International, Peer-Reviewed, Open Access, Refereed, Biophysics, Physiology, Physiology (medical), blood pressure, intracranial pressure, blood flow, blood flow velocity, BCG, IMU, imaging, radar, voice, Advanced, physics-based measurement techniques, Multimodal machine learning, data integration and understanding, Predictive models using data from electronic health records and medical devices that measure physiologic data in various clinical settings, Physiological modelling, simulation, model identification, and control, using both empirical and physics-based models , Online or Print , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0967-3334, E-ISSN: 1361-6579, Established: 1993, Impact Factor: 2.7
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE