Towards Wearable Physiological Monitoring on a Mobile Phone

Towards Wearable Physiological Monitoring on a Mobile Phone

Nuria Oliver (Telefonica Research, Spain), Fernando Flores-Mangas (University of Toronto, Canada) and Rodrigo de Oliveira (State University of Campinas, Brazil)
Copyright: © 2009 |Pages: 36
DOI: 10.4018/978-1-60566-332-6.ch011
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In this chapter, we present our experience in using mobile phones as a platform for real-time physiological monitoring and analysis. In particular, we describe in detail the TripleBeat system, a research prototype that assists runners in achieving predefined exercise goals via musical feedback, a glanceable interface for increased personal awareness and a virtual competition. We believe that systems like TripleBeat will play an important role in assisting users towards healthier and more active lifestyles.
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Wearable health monitoring devices have attracted increasing interest in recent years, both in research and industry. The ability to continuously monitor physiological signals is of particular importance for the world’s increasingly aging and sedentary population, whose health has to be assessed regularly or monitored continuously.

It has been estimated that a third or more of the 78 million baby boomers and 34 million of their parents may be at risk for the development of devastating diseases including cardiovascular disease, stroke and cancer. Fortunately, presymptomatic testing could save millions of these lives –and dollars– in the coming decades, according to experts. Wearable physiological monitoring devices are a critical component in preventive medicine where they will play an increasingly important role in the years to come.

In addition, a sedentary lifestyle is a major underlying cause of death, disease, and disability. Unfortunately, levels of inactivity are high –and keep increasing– in virtually all developed and developing countries. The World Health Organization (WHO)1 has estimated that 60 to 85% of all adults are sedentary or nearly so. Physical inactivity is the cause of approximately 2 million deaths every year. All causes of mortality are increased by physical inactivity. In particular, it doubles the risk of cardiovascular disease, type II diabetes, and obesity [Booth et al., 2002], [Flegal et al., 1998]. It also increases the risks of colon and breast cancer, high blood pressure, lipid disorders, osteoporosis, depression and anxiety. Chronic diseases are now the leading causes of death in the entire world, with the exception of sub-Saharan Africa. The WHO has estimated that the greatest public health problem in most countries in the world are unhealthy diets, caloric excess, inactivity, obesity and associated chronic diseases.

Fortunately, technology can play a very important role to address the reality of an aging, sedentary population. Wearable health monitoring devices will be at the core of this role, since they have the potential to: (1) support the practice of preventive medicine by enabling the detection of early signs of health deterioration; (2) allow daily, casual monitoring, which would lead to finding correlations between lifestyle and health [Oliver and FloresMangas, 2007]; (3) notify health care providers in critical situations; (4) enhance the sense of connectedness with loved ones by sharing real-time raw or interpreted physiological data; (5) promote and support an active lifestyle, i.e. a lifestyle that incorporates physical activities, sports and healthy life choices [Andrew et al., 2007], [cdc, 2005], [Oliver and Flores-Mangas, 2006a]; (6) bring sports conditioning into a new dimension, by providing detailed information about physiological signals under various exercise conditions; (7) bring healthcare to remote locations and developing countries, where cellular phones are pervasive and in some cases the only available communications device; and ultimately (8) transform health care by providing doctors with multi-sourced, real- time physiological data.

However, there are still technical, legal and societal obstacles that need to be tackled before these wearable devices are ready for general use. For example, these devices need to be non-intrusive, easy to use, comfortable to wear, efficient in power consumption, privacy compliant, with very low failure rates and high accuracy in triggering alarms, especially if used for diagnostic purposes.

In this chapter, we describe our experience in developing wearable real-time health monitoring systems on mobile phones. In particular, we have developed two prototypes that explore the impact of real-time physiological monitoring in the daily life of users: (1) HealthGear to monitor users while they are sleeping and automatically detect sleep apnea events; and (2) MPTrain/TripleBeat, a mobile phone-based system that encourages users to achieve specific exercise goals.

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Table of Contents
Chapter 1
Katie A Siek, Kay H Connelly, Beenish Chaudry, Desiree Lambert, Janet L. Welch
In this chapter, the authors discuss two case studies that compare and contrast the use of barcode scanning, voice recording, and patient self... Sample PDF
Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills
Chapter 2
Ana Ferreira, Luis Barreto, Pedro Brandao, Ricardo Correia
Virtual electronic patient records (VEPR) enable the integration and sharing of healthcare information within large and heterogeneous organizations... Sample PDF
Accessing an Existing Virtual Electronic Patient Record with a Secure Wireles Architecture
Chapter 3
Phillip Olla, Joseph Tan
This chapter provides an overview of mobile personal health record (MPHR) systems. A Mobile personal health record is an eclectic application... Sample PDF
Personal Health Records Systems Go Mobile: Defining Evaluation Components
Chapter 4
Ing Widya, HaiLiang Mei, Bert-Jan Beijnum, Jacqueline Wijsman, Hermie Hermens
In mobile healthcare, medical information are often expressed in different formats due to the local policies and regulations and the heterogeneity... Sample PDF
Medical Information Representation Framework for Mobile Healthcare
Chapter 5
Daniel Ruiz-Fernandez, Antonio Soriano-Paya
The incorporation of computer engineering into medicine has meant significant improvements in the diagnosis-related tasks. This chapter presents an... Sample PDF
A Distributed Approach of a Clinical Decision Support System Based on Cooperation
Chapter 6
Teppo Räisänen, Harri Oinas-Kukkonen, Katja Leiviskä, Matti Seppänen, Markku Kallio
Incorporating healthcare information systems into clinical settings has been shown to reduce medication errors and improve the quality of work in... Sample PDF
Managing Mobile Healthcare Knowledge: Physicians' Perceptions on Knowledge Creation and Reuse
Chapter 7
Yousef Jasemian
Recording of physiological vital signs in patients’ real-life environment could be especially useful in management of chronic disorders; for example... Sample PDF
Patient Monitoring in Diverse Environments
Chapter 8
Monica Tentori, Daniela Segura, Jesus Favela
Hospital work is characterized by intense mobility, a frequent switching between tasks, and the need to collaborate and coordinate activities among... Sample PDF
Monitoring Hospital Patients Using Ambient Displays
Chapter 9
Javier Espina, Heribert Baldus, Thomas Falck, Oscar Garcia, Karin Klabunde
Wireless body sensor networks (BSNs) are an indispensable building stone for any pervasive healthcare system. Although suitable wireless... Sample PDF
Towards Easy-to-Use, Safe, and Secure Wireless Medical Body Sensor Networks
Chapter 10
Yousef Jasemian
People living with chronic medical conditions, or with conditions requiring short term monitoring, need regular and individualized care to maintain... Sample PDF
Sensing of Vital Signs and Transmission Using Wireless Networks
Chapter 11
Nuria Oliver, Fernando Flores-Mangas, Rodrigo de Oliveira
In this chapter, we present our experience in using mobile phones as a platform for real-time physiological monitoring and analysis. In particular... Sample PDF
Towards Wearable Physiological Monitoring on a Mobile Phone
Chapter 12
Giovanni Russello, Changyu Dong, Naranker Dualy
In this chapter, the authors describe a new framework for pervasive healthcare applications where the patient’s consent has a pivotal role. In their... Sample PDF
A Framework for Capturing Patient Consent in Pervasive Healthcare Applications
Chapter 13
Filipe Meneses, Adriano Moreira
The increasing availability of mobile devices and wireless networks, and the tendency for them to become ubiquitous in our dally lives, creates a... Sample PDF
Technology Enablers for Context-Aware Healthcare Applications
Chapter 14
Bjorn Gottfried
This chapter introduces spatial health systems, identifies fundamental properties of these systems, and details for specific applications the... Sample PDF
Modeling Spatiotemporal Developments in Spatial Health Systems
Chapter 15
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Building context-aware mobile healthcare systems has become increasingly important with the emergence of new medical sensor technologies, the fast... Sample PDF
Context-Aware Task Distribution for Enhanced M-health Application Performance
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