Wearable technology: role in respiratory health and disease

In the future, diagnostic devices will be able to monitor a patient’s physiological or biochemical parameters continuously, under natural physiological conditions and in any environment through wearable biomedical sensors. Together with apps that capture and interpret data, and integrated enterprise and cloud data repositories, the networks of wearable devices and body area networks will constitute the healthcare’s Internet of Things. In this review, four main areas of interest for respiratory healthcare are described: pulse oximetry, pulmonary ventilation, activity tracking and air quality assessment. Although several issues still need to be solved, smart wearable technologies will provide unique opportunities for the future or personalised respiratory medicine. Smart wearable technologies provide unique opportunities for assessing and monitoring respiratory function http://ow.ly/BHXY30cEfBl

[1]  R. Furberg,et al.  Systematic review of the validity and reliability of consumer-wearable activity trackers , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[2]  Ashraf Darwish,et al.  Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring , 2011, Sensors.

[3]  B E Ainsworth,et al.  Quantifying energy expenditure and physical activity in the context of dose response. , 2001, Medicine and science in sports and exercise.

[4]  M A Sackner,et al.  Non-invasive measurement of ventilation during exercise using a respiratory inductive plethysmograph. I. , 1980, The American review of respiratory disease.

[5]  Lionel Tarassenko,et al.  Data fusion for estimating respiratory rate from a single-lead ECG , 2013, Biomed. Signal Process. Control..

[6]  D. K. Arvind,et al.  Respiratory Rate and Flow Waveform Estimation from Tri-axial Accelerometer Data , 2010, 2010 International Conference on Body Sensor Networks.

[7]  Octavian Postolache,et al.  Health monitoring using textile sensors and electrodes: An overview and integration of technologies , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[8]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[9]  Jean-Yves Fourniols,et al.  Smart wearable systems: Current status and future challenges , 2012, Artif. Intell. Medicine.

[10]  Olaf Holz,et al.  Physical activity is the strongest predictor of all-cause mortality in patients with COPD: a prospective cohort study. , 2011, Chest.

[11]  Walter Karlen,et al.  Multiparameter Respiratory Rate Estimation From the Photoplethysmogram , 2013, IEEE Transactions on Biomedical Engineering.

[12]  Scout Calvert,et al.  Opportunities and challenges in the use of personal health data for health research , 2016, J. Am. Medical Informatics Assoc..

[13]  Ian Bennion,et al.  Embedded progressive-three-layered fiber long-period gratings for respiratory monitoring. , 2003, Journal of biomedical optics.

[14]  I Frerichs,et al.  Electrical impedance tomography (EIT) in applications related to lung and ventilation: a review of experimental and clinical activities. , 2000, Physiological measurement.

[15]  David A. Clifton,et al.  Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[16]  R. J. Shephard,et al.  Physical Activity Is the Strongest Predictor of All-Cause Mortality in Patients With COPD: A Prospective Cohort Study , 2012 .

[17]  Henry O. Nyongesa,et al.  Using Wearable Sensors for Remote Healthcare Monitoring System , 2011, J. Sens. Technol..

[18]  Stéphane Bonnet,et al.  Estimation of respiratory waveform using an accelerometer , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[19]  D. K. Arvind,et al.  Simultaneous Activity and Respiratory Monitoring Using an Accelerometer , 2011, 2011 International Conference on Body Sensor Networks.

[20]  Ville-Pekka Seppä,et al.  Measurement of tidal breathing flows in infants using impedance pneumography , 2017, European Respiratory Journal.

[21]  Kathryn Sandberg,et al.  How consumer physical activity monitors could transform human physiology research. , 2017, American journal of physiology. Regulatory, integrative and comparative physiology.

[22]  Won-Ki Kim,et al.  Improvement of Dynamic Respiration Monitoring Through Sensor Fusion of Accelerometer and Gyro-sensor , 2014 .

[23]  K. Tremper,et al.  Pulse oximetry. , 1989, Anesthesiology.

[24]  David O. Meltzer,et al.  Derivation of a cardiac arrest prediction model using ward vital signs* , 2011, Critical care medicine.

[25]  Yadong Wang,et al.  A review of non-contact, low-cost physiological information measurement based on photoplethysmographic imaging , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  Rita Paradiso,et al.  Textile electrodes and integrated smart textile for reliable biomonitoring , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[27]  P. Schnohr,et al.  Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population based cohort study , 2006, Thorax.

[28]  J. Mead,et al.  Measurement of the separate volume changes of rib cage and abdomen during breathing. , 1967, Journal of applied physiology.

[29]  J. Sallis Measuring Physical Activity and Energy Expenditure , 1996 .

[30]  M. Marschollek,et al.  Wearable Sensors in Healthcare and Sensor-Enhanced Health Information Systems: All Our Tomorrows? , 2012, Healthcare informatics research.

[31]  Thierry Troosters,et al.  COPD as a Lung Disease with Systemic Consequences – Clinical Impact, Mechanisms, and Potential for Early Intervention , 2008, COPD.

[32]  Yan-Wei Guo,et al.  Estimation of respiration rate from three-dimensional acceleration data based on body sensor network. , 2011, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[33]  C. Caspersen,et al.  Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. , 1985, Public health reports.

[34]  K. Rabe,et al.  From COPD to chronic systemic inflammatory syndrome? , 2007, The Lancet.

[35]  Marvin A. Sackner,et al.  Non-invasive Measurement of Ventilation During Exercise Using A Respiratory Inductive Plethysmograph. I.1–3 , 2015 .

[36]  D. Wakefield,et al.  Respiratory rate predicts cardiopulmonary arrest for internal medicine inpatients , 1993, Journal of General Internal Medicine.

[37]  U. Koehler,et al.  [Respiratory Rate - a Neglected Vital Sign]. , 2017, Deutsche medizinische Wochenschrift.

[38]  Alessandro Chiolerio,et al.  Wearable Electronics and Smart Textiles: A Critical Review , 2014, Sensors.

[39]  H. Gollee,et al.  Real-time detection of respiratory activity using an inertial measurement unit , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[40]  L. Tarassenko,et al.  Non-contact video-based vital sign monitoring using ambient light and auto-regressive models , 2014, Physiological measurement.

[41]  Elizabeth J Lyons,et al.  Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis , 2014, Journal of medical Internet research.

[42]  Torsten T Bauer,et al.  The prognostic significance of respiratory rate in patients with pneumonia: a retrospective analysis of data from 705,928 hospitalized patients in Germany from 2010-2012. , 2014, Deutsches Arzteblatt international.