System to Recommend the Best Place to Live Based on Wellness State of the User Employing the Heart Rate Variability

The conditions of the environment where a person lives have a great impact on his wellness state. When buying a new house, it is important to select a place that aids in improving the wellness state of the buyer or, at least, keeps it at the same level. A deficient wellness state implies an increase of stress and the appearance of some effects associated with it. Heart rate variability (HRV) allows measuring the stress or wellness levels of a person by measuring the difference in time between heartbeats. A low HRV is related to high stress levels whereas a high HRV is associated with a high wellness state. In this paper, we present a system that measures the wellness and stress levels of home buyers by employing sensors that measure the HRV. Our system is able to process the data and recommend the best neighborhood to live in considering the wellness state of the buyer. Several tests were performed utilizing different locations. In order to determine the best neighborhood, we have developed an algorithm that assigns different values to the area in accordance with the HRV measures. Results show that the system is effective in providing the recommendation of the place that would allow the person to live with the highest wellness state.

[1]  Cemil Selcuk,et al.  Motivated sellers and predation in the housing market , 2013 .

[2]  Carol M. Werner,et al.  RELOCATION AND PRIVACY REGULATION: A CROSS-CULTURAL ANALYSIS , 1995 .

[3]  Lionel Tarassenko,et al.  Quantifying errors in spectral estimates of HRV due to beat replacement and resampling , 2005, IEEE Transactions on Biomedical Engineering.

[4]  Winston T. H. Koh,et al.  Bank Lending and Real Estate in Asia: Market Optimism and Asset Bubbles , 2004 .

[5]  A. Antoniadis,et al.  Relation between heart rate variability and training load in middle-distance runners. , 2000, Medicine and science in sports and exercise.

[6]  Didier Sornette,et al.  2000-2003 Real Estate Bubble in the UK but not in the USA , 2003 .

[7]  Lizawati Salahuddin,et al.  Detection of Acute Stress by Heart Rate Variability Using a Prototype Mobile ECG Sensor , 2006 .

[8]  J. Lloret,et al.  Wireless Sensors Self-Location in an Indoor WLAN Environment , 2007, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007).

[9]  Majid A. Al-Taee,et al.  HRV-based operator fatigue analysis and classification using wearable sensors , 2016, 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD).

[10]  Mohamad Khalil,et al.  Driver stress level detection using HRV analysis , 2015, 2015 International Conference on Advances in Biomedical Engineering (ICABME).

[11]  J. A. Talbott Geographic Patterns of Frequent Mental Distress: U.S. Adults, 1993–2001 and 2003–2006 , 2011 .

[12]  P. Melillo,et al.  Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[13]  C. Lawrence,et al.  Home is where the heart is: The effect of place of residence on place attachment and community participation , 2014 .

[14]  M. Altini,et al.  Comparison of Heart-Rate-Variability Recording With Smartphone Photoplethysmography, Polar H7 Chest Strap, and Electrocardiography. , 2017, International journal of sports physiology and performance.

[15]  Mirja A. Peltola Role of Editing of R–R Intervals in the Analysis of Heart Rate Variability , 2011, Front. Physio..

[16]  D. Stokols,et al.  The Psychological Context of Residential Mobility and Weil-Being , 1982 .

[17]  Stefano Tartaglia Different Predictors of Quality of Life in Urban Environment , 2013 .

[18]  Athanasios V. Vasilakos,et al.  An efficient fuzzy rule-based big data analytics scheme for providing healthcare-as-a-service , 2017, 2017 IEEE International Conference on Communications (ICC).

[19]  Elizabeth P Howard,et al.  The Six Dimensions of Wellness and Cognition in Aging Adults , 2012, Journal of holistic nursing : official journal of the American Holistic Nurses' Association.

[20]  Mateja Kos Koklic,et al.  A Strategic Household Purchase: Consumer House Buying Behavior , 2009 .

[21]  Kwang Suk Park,et al.  The relationship between HRV parameters and stressful driving situation in the real road , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[22]  G. Billman Heart Rate Variability – A Historical Perspective , 2011, Front. Physio..

[23]  D. Sornette,et al.  Is there a real-estate bubble in the US? , 2005, physics/0506027.

[24]  Ian B Hickie,et al.  Heart rate variability is associated with emotion recognition: direct evidence for a relationship between the autonomic nervous system and social cognition. , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[25]  Joel J. P. C. Rodrigues,et al.  Real-time query processing optimization for cloud-based wireless body area networks , 2014, Inf. Sci..

[26]  Martin Buchheit,et al.  Day-to-Day Heart-Rate Variability Recordings in World-Champion Rowers: Appreciating Unique Athlete Characteristics. , 2017, International journal of sports physiology and performance.

[27]  Hannu Kinnunen,et al.  Endurance training guided individually by daily heart rate variability measurements , 2007, European Journal of Applied Physiology.

[28]  Desok Kim,et al.  Short Term Analysis of Long Term Patterns of Heart Rate Variability in Subjects under Mental Stress , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[29]  Dunn Hl,et al.  What high-level wellness means. , 1959 .

[30]  J. Thayer,et al.  A longitudinal study in youth of heart rate variability at rest and in response to stress. , 2009, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[31]  A. K. Blangsted,et al.  The effect of mental stress on heart rate variability and blood pressure during computer work , 2004, European Journal of Applied Physiology.

[32]  Roselyne Joyeux,et al.  Fundamentals and the Volatility of Real Estate Prices in China: A Sequential Modelling Strategy , 2015 .

[33]  Roozbeh Atri,et al.  Screening of obstructive sleep apnea using higher order statistics of HRV and EDR signals , 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

[34]  David Giles,et al.  Validity of the Polar V800 heart rate monitor to measure RR intervals at rest , 2015, European Journal of Applied Physiology.

[35]  Jesus Alcober i Segura,et al.  Pervasive sensors network for wellness based-on Raspberry Pi , 2014, Netw. Protoc. Algorithms.

[36]  Stress and office-syndrome detection using EEG, HRV and hand movement , 2016, 2016 9th Biomedical Engineering International Conference (BMEiCON).

[37]  Miguel Garcia,et al.  The Development of Two Systems for Indoor Wireless Sensors Self-location , 2009, Ad Hoc Sens. Wirel. Networks.

[38]  Richard Gevirtz,et al.  Heart Rate Variability (HRV) and Posttraumatic Stress Disorder (PTSD): A Pilot Study , 2011, Applied psychophysiology and biofeedback.

[39]  Jennifer Healey,et al.  Detecting stress during real-world driving tasks using physiological sensors , 2005, IEEE Transactions on Intelligent Transportation Systems.

[40]  M. Dugas,et al.  Respiratory sinus arrhythmia during worry forecasts stress-related increases in psychological distress , 2014, Stress.