Investigation into Blood Pressure variability in Japan and Bangladesh by ICT based healthcare systems

Blood Pressure readings are widely accepted as a measure to determine the risk of non-communicable diseases such as hypertension and stroke. Affordable healthcare devices and sensors allow individuals to monitor blood pressure at home or at a local service point on a daily basis. ICT based healthcare systems interpret the readings and give feedback to individuals or may trigger a telemedicine call to a remote doctor. This paper introduces case studies for ICT healthcare studies undertaken in Japan and Bangladesh. Blood Pressure data collected by the Omron WellnessLink (500,000 readings) and the Kyushu University/Grameen Portable Heath Clinic (21,252 readings) are examined for similarities and differences. The results show similarities in gender and temporal influences. Males have higher blood pressure and readings appear to be rhythmic according to day and month. The differences indicate that the mean Systolic Blood Pressure (SBP) for Japanese males is higher than Bangladesh males and SBP for Bangladesh females is higher than Japanese females. The impact of climate is stronger on Japanese SBP than Bangladesh SBP. The Bangladesh data shows progressive increase in SBP in each ten year age category until 80 years; this is also reflected by BMI categories. The study reveals that affordable devices connected to basic ICT based healthcare systems reveal underlying factors in the Blood Pressure variability.

[1]  G. Reboldi,et al.  Clinical Significance of the Blood Pressure Changes from Day to Night , 2011 .

[2]  Roberto Sega,et al.  Seasonal variations in home and ambulatory blood pressure in the PAMELA population , 1998 .

[3]  J F Reckelhoff,et al.  Gender Differences in the Regulation of Blood Pressure , 2001, Hypertension.

[4]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[5]  Ashir Ahmed,et al.  Targeting Morbidity in Unreached Communities Using Portable Health Clinic System , 2014, IEICE Trans. Commun..

[6]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[7]  A. Luke,et al.  Relationship between blood pressure and body mass index in lean populations. , 1997, Hypertension.

[8]  W E Miall,et al.  Relation between change of blood pressure and age. , 1967, British medical journal.

[9]  Yutaka Hata,et al.  Systems Health Care the aspect of home and medical care , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[10]  F. Cappuccio,et al.  Blood pressure control by home monitoring: meta-analysis of randomised trials , 2004, BMJ : British Medical Journal.

[11]  D. Labarthe,et al.  Rise of blood pressure with age. New evidence of population differences. , 1994, Hypertension.

[12]  Stephen S. Lim,et al.  Control of hypertension with medication: a comparative analysis of national surveys in 20 countries. , 2014, Bulletin of the World Health Organization.

[13]  Sozo Inoue,et al.  Portable Health Clinic: A Pervasive Way to Serve the Unreached Community for Preventive Healthcare , 2013, HCI.

[14]  Gretchen A. Stevens,et al.  National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million participants , 2011, The Lancet.