Missing data imputation techniques for wireless continuous vital signs monitoring

[1]  Jithin S. Sunny,et al.  Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects , 2022, Sensors.

[2]  H. Hermens,et al.  Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study , 2021, JMIR formative research.

[3]  L. Tarassenko,et al.  The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis , 2021, Critical Care.

[4]  J. Gómez-Arnau,et al.  Update on early warning scores. , 2021, Best practice & research. Clinical anaesthesiology.

[5]  S. Villar,et al.  Dynamic individual vital sign trajectory early warning score (DyniEWS) versus snapshot national early warning score (NEWS) for predicting postoperative deterioration , 2020, Resuscitation.

[6]  B. Vallet,et al.  Rethinking the post-COVID-19 pandemic hospital: more ICU beds or smart monitoring on the wards? , 2020, Intensive Care Medicine.

[7]  G. Patijn,et al.  Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review , 2020, Journal of medical Internet research.

[8]  W. Kibbe,et al.  Investigating sources of inaccuracy in wearable optical heart rate sensors , 2020, npj Digital Medicine.

[9]  Wan Tin Lim,et al.  Early warning score validation methodologies and performance metrics: a systematic review , 2019, BMC Medical Informatics and Decision Making.

[10]  B. Preckel,et al.  Monitoring of High- and Intermediate-Risk Surgical Patients. , 2019, Anesthesia and analgesia.

[11]  Davide Morelli,et al.  Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations , 2019, Sensors.

[12]  Tapio Pahikkala,et al.  Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health , 2019, Future Gener. Comput. Syst..

[13]  Yan Shi,et al.  An Improved Method of Handling Missing Values in the Analysis of Sample Entropy for Continuous Monitoring of Physiological Signals , 2019, Entropy.

[14]  John Kellett,et al.  The value of vital sign trends in predicting and monitoring clinical deterioration: A systematic review , 2019, PloS one.

[15]  Gilles Clermont,et al.  A call to alarms: Current state and future directions in the battle against alarm fatigue. , 2018, Journal of electrocardiology.

[16]  S. Chapman,et al.  The impact of continuous versus intermittent vital signs monitoring in hospitals: A systematic review and narrative synthesis. , 2018, International journal of nursing studies.

[17]  Cor J Kalkman,et al.  Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study , 2018, BMJ Open.

[18]  L. Atallah,et al.  A review of recent advances in data analytics for post-operative patient deterioration detection , 2018, Journal of Clinical Monitoring and Computing.

[19]  Gary B. Smith,et al.  The measurement frequency and completeness of vital signs in general hospital wards: An evidence free zone? , 2017, International journal of nursing studies.

[20]  H. van Goor,et al.  Continuous Monitoring of Vital Signs Using Wearable Devices on the General Ward: Pilot Study , 2017, JMIR mHealth and uHealth.

[21]  Sok Ying Liaw,et al.  Vital signs monitoring to detect patient deterioration: An integrative literature review. , 2015, International journal of nursing practice.

[22]  Su-Shin Ang,et al.  Assessment of the feasibility of an ultra-low power, wireless digital patch for the continuous ambulatory monitoring of vital signs , 2015, BMJ Open.

[23]  David A. Clifton,et al.  Modelling physiological deterioration in post-operative patient vital-sign data , 2013, Medical & Biological Engineering & Computing.

[24]  Inga Adams-Pizarro,et al.  "Identifying the hospitalised patient in crisis"--a consensus conference on the afferent limb of rapid response systems. , 2010, Resuscitation.

[25]  Craig K. Enders,et al.  An introduction to modern missing data analyses. , 2010, Journal of school psychology.

[26]  L Tarassenko,et al.  Integrated monitoring and analysis for early warning of patient deterioration. , 2006, British journal of anaesthesia.

[27]  D. Rubin.  INFERENCE AND MISSING DATA , 1975 .