A Telemonitoring Framework for Android Devices

Real-time telemonitoring of patient's well-being through various wearable sensors and other electronic accessories holds promise to provide better quality healthcare at lower costs. The design and implementation of telemonitoring applications is however still a cumbersome process as it requires implementation of user interfaces, data acquisition, data storage, and proper security and privacy mechanisms using various APIs. This process requires a high level of experience in software development and design, as well as a certain level of knowledge in the healthcare domain. The multi-disciplinary nature of such applications limits the growth of telemonitoring. In addition, a large number of applications aim to use smartphone-based monitoring, which adds an extra level of complexity due to the fault-prone nature of such systems. In this paper, we describe a general-purpose framework that can be used to easily implement telemonitoring applications on Android-enabled devices.

[1]  M. Sun,et al.  Improving energy expenditure estimation by using a triaxial accelerometer. , 1997, Journal of applied physiology.

[2]  Nathaniel M Rickles,et al.  Pharmacist telemonitoring of antidepressant use: effects on pharmacist-patient collaboration. , 2005, Journal of the American Pharmacists Association : JAPhA.

[3]  J. Cleland,et al.  Telemonitoring or structured telephone support programmes for patients with chronic heart failure: systematic review and meta-analysis , 2007, BMJ : British Medical Journal.

[4]  M. Jaana,et al.  Home telemonitoring of patients with diabetes: a systematic assessment of observed effects. , 2007, Journal of evaluation in clinical practice.

[5]  Cynthia Dwork,et al.  Differential Privacy: A Survey of Results , 2008, TAMC.

[6]  R. Istepanian,et al.  Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes , 2009, Journal of telemedicine and telecare.

[7]  D. Cavouras,et al.  A Simple algorithm to monitor HR for real time treatment applications , 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

[8]  G. Paré,et al.  Clinical Effects of Home Telemonitoring in the Context of Diabetes, Asthma, Heart Failure and Hypertension: A Systematic Review , 2010, Journal of medical Internet research.

[9]  D. Blumenthal,et al.  Patient Protection and Affordable Care Act , 2010 .

[10]  Richard J McManus,et al.  Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomised controlled trial , 2010, The Lancet.

[11]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .

[12]  Daniel McDuff,et al.  Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam , 2011, IEEE Transactions on Biomedical Engineering.

[13]  Ram Dantu,et al.  Cuffless Differential Blood Pressure Estimation Using Smart Phones , 2013, IEEE Transactions on Biomedical Engineering.

[14]  D. Donaire-Gonzalez,et al.  Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph , 2013, Journal of medical Internet research.

[15]  Ruzena Bajcsy,et al.  Continuous, Real-Time, Tele-monitoring of Patients with Chronic Heart-Failure - Lessons Learned From a Pilot Study , 2014, BODYNETS.

[16]  J. Kvedar,et al.  Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealth. , 2014, Health affairs.

[17]  Ruzena Bajcsy,et al.  Private Disclosure of Information in Health Tele-monitoring , 2015, ArXiv.

[18]  Ruzena Bajcsy,et al.  Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned , 2016, IEEE Transactions on Affective Computing.