Smartphone as an ultra-low cost medical tricorder for real-time cardiological measurements via ballistocardiography

In this preliminary study, we investigate the potential use of smartphones as portable heart-monitoring devices that can capture and analyse heart activity in real time. We have developed a smartphone application called “Medical Tricorder” that can exploit smartphone;s inertial sensors and when placed on a subject;s chest, it can efficiently capture the motion patterns caused by the mechanical activity of the heart. Using the measured ballistocardiograph signal (BCG), the application can efficiently extract the heart rate in real time while matching the performance of clinical-grade electrocardiographs (ECG). Although the BCG signal can provide much richer information regarding the mechanical aspects of the human heart, we have developed a method of mapping the chest BCG signal into an ECG signal, which can be made directly available to clinicians for diagnostics. Comparing the estimated ECG signal to empirical data from cardiovascular diseases, may allow detection of heart abnormalities at a very early stage without any medical staff involvement. Our method opens up the potential of turning smartphones into portable healthcare systems which can provide patients and general public an easy access to continuous healthcare monitoring. Additionally, given that our solution is mainly software based, it can be deployed on smartphones around the world with minimal costs.

[1]  D. Salerno,et al.  Seismocardiography : a new technique for recording cardiac vibrations. Concept, method, and initial observations , 1990 .

[2]  D. Singer,et al.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. , 2001, JAMA.

[3]  I. Gussak,et al.  Naming of the waves in the ECG, with a brief account of their genesis. , 1998, Circulation.

[4]  Er-Wei Bai A blind approach to the Hammerstein-Wiener model identification , 2002, Autom..

[5]  Paul Lukowicz,et al.  AMON: a wearable multiparameter medical monitoring and alert system , 2004, IEEE Transactions on Information Technology in Biomedicine.

[6]  Talicia Tarver,et al.  HEART DISEASE AND STROKE STATISTICS–2014 UPDATE: A REPORT FROM THE AMERICAN HEART ASSOCIATION , 2014 .

[7]  W W Abbott,et al.  Ultra-low-cost 3D gaze estimation: an intuitive high information throughput compliment to direct brain–machine interfaces , 2012, Journal of neural engineering.

[8]  P POLLOCK,et al.  Ballistocardiography: a clinical review. , 1957, Canadian Medical Association journal.

[9]  J. Alihanka,et al.  A new method for long-term monitoring of the ballistocardiogram, heart rate, and respiration. , 1981, The American journal of physiology.

[10]  Constantinos Gavriel,et al.  Robust, ultra low-cost MMG system with brain-machine-interface applications , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[11]  Ronald W. Schafer,et al.  What Is a Savitzky-Golay Filter? [Lecture Notes] , 2011, IEEE Signal Processing Magazine.

[12]  S. Billings,et al.  Non-linear system identification using the Hammerstein model , 1979 .

[13]  Smith Nt,et al.  The pneumocardiogram: a potential monitor for the operating room. , 1970 .

[14]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association. , 2012, Circulation.

[15]  Constantinos Gavriel,et al.  Wireless kinematic body sensor network for low-cost neurotechnology applications “in-the-wild” , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[16]  W DOCK,et al.  Ballistocardiography in medical practice. , 1951, Journal of the American Medical Association.

[17]  M Oehler,et al.  A multichannel portable ECG system with capacitive sensors , 2008, Physiological measurement.

[18]  A. Varri,et al.  A new method for measuring the ballistocardiogram using EMFi sensors in a normal chair , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Lis Neubeck,et al.  iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke. , 2013, International journal of cardiology.

[20]  Jun Cheng,et al.  A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing , 2010, IEEE Transactions on Information Technology in Biomedicine.

[21]  D. Tzivoni,et al.  Early detection of silent ischaemic heart disease by 24-hour electrocardiographic monitoring of active subjects. , 1974, British heart journal.

[22]  Constantinos Gavriel,et al.  Prediction of Arm End-Point Force Using Multi-channel MMG , 2014, 2014 11th International Conference on Wearable and Implantable Body Sensor Networks.

[23]  Constantinos Gavriel,et al.  Towards neurobehavioral biomarkers for longitudinal monitoring of neurodegeneration with wearable body sensor networks , 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

[24]  O. Polo,et al.  Respiratory variation of the ballistocardiogram during increased respiratory load and voluntary central apnoea. , 1992, The European respiratory journal.

[25]  Didier Vray,et al.  Measurement of two-dimensional movement parameters of the carotid artery wall for early detection of arteriosclerosis: a preliminary clinical study. , 2011, Ultrasound in medicine & biology.

[26]  Lynsey D. Duffell,et al.  The Complexity of Human Walking: A Knee Osteoarthritis Study , 2014, PloS one.

[27]  A. Akhbardeh,et al.  A Wireless Ballistocardiographic Chair , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[28]  N. T. Smith,et al.  The Pneumocardiogram: A Potential Monitor for the Operating Room , 1970, Anesthesia and analgesia.

[29]  Moongu Jeon,et al.  Implementation of a portable device for real-time ECG signal analysis , 2014, Biomedical engineering online.

[30]  Nigel Sim,et al.  The head mouse — Head gaze estimation "In-the-Wild" with low-cost inertial sensors for BMI use , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[31]  Constantinos Gavriel,et al.  A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography , 2014, 2014 11th International Conference on Wearable and Implantable Body Sensor Networks.

[32]  G. Parati,et al.  Wearable Seismocardiography , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[33]  Kwang Suk Park,et al.  Validation of heart rate extraction through an iPhone accelerometer , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[34]  William K. Pratt,et al.  Generalized Wiener Filtering Computation Techniques , 1972, IEEE Transactions on Computers.

[35]  Lei Liu,et al.  Ballistocardiogram Measurement System Using Three Load-Cell Sensors Platform in Chair , 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

[36]  Hurst Jw Naming of the Waves in the ECG, With a Brief Account of Their Genesis , 1998 .

[37]  Gregory T. A. Kovacs,et al.  Non-invasive measurement of Valsalva-induced hemodynamic changes on a bathroom scale Ballistocardiograph , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[38]  J W Gordon,et al.  Certain Molar Movements of the Human Body produced by the Circulation of the Blood. , 1877, Journal of anatomy and physiology.

[39]  C. C. Maher Electrocardiography , 1938, The Indian Medical Gazette.

[40]  Miguel A. García-González,et al.  Heart rate variability analysis using a seismocardiogram signal , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[41]  James T. Patrie,et al.  Development and Preliminary Validation of Heart Rate and Breathing Rate Detection Using a Passive, Ballistocardiography-Based Sleep Monitoring System , 2009, IEEE Transactions on Information Technology in Biomedicine.