Monitoring technology for the elderly patient

References

• UN Department of Economic and Social Affairs/Population Division. World Population prospects: Volume III: Analytical Report. (2004 revision).
   Google Scholar
• Williams N. An aging population – burden or blessing? Value in Health8(4), 447–450 (2005).
   PubMedGoogle Scholar
• Tallis RC. Is the ageing population a threat to sustainable health care? The good news: we are living longer. Br. Assoc. Advancement Sci. (2003).
   Google Scholar
• Tamsma N. Advancing integrated care for older people through EU Policy. European Health Management Association. Vergemount Hall, Clonskeagh, Dublin, (2004).
   Google Scholar
• Buckley NA, Sanders P. Cardiovascular adverse effects of antipsychotic drugs. Drugs Safety23(3), 215–228 (2000).
   PubMed Web of Science ®Google Scholar
• Rubenstein LZ, Josephson KR. The epidemiology of falls and syncope. In: Falls and Syncope Elderly Patients. Kenny RA, O’Shea D (Eds). Clinics in Geriatric Medicine. WB Saunders Co, PA, USA 664–672 (2002).
   Google Scholar
• Lord SR, Sherrington C, Menz HB. Part I: risk factors for falls. In: Falls in Older People. Cambridge University Press, UK 3–107 (2001).
   Google Scholar
• Percival P, Kelly, S. Who’s going to care? Informal care and an ageing population. Report prepared for Carers Australia by the National Centre for Social and Economic Modelling, University of Canberra, Australia (2004).
   Google Scholar
• Keleher H. Community care in Australia. Home Health Care Management Practice15(5), 367–374 (2003).
   Google Scholar
• Nies H. Managing effective partnerships in older people’s services. Health Soc. Care Community14(5), 391–399 (2006).
   Google Scholar
• Hayes TL, Pavel M, Schallau PK et al. Unobtrusive monitoring of health status in an ageing population. Proceedings of The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications. UbiHealth (2003).
   Google Scholar
• Hansel BK, Demire G, Courtney KL. Defining obtrusiveness in home telehealth technologies: a conceptual framework. J. Am. Med. Inf. Assoc.13(4), 428–431 (2006).
   PubMedGoogle Scholar
• Asada HH, Shaltis P, Reisner A et al. Mobile monitoring with wearable photoplethysmographic biosensors: technical and clinical aspects of aring sensor for ambulatory, telemetric, continuous health monitoring in the field, in the hospital, and in the home. IEEE Eng. Med. Biol. Magazine May/June, 28–40 (2003).
   PubMedGoogle Scholar
• Clarke M, Jones RW, Bratan T et al. Providing remote patient monitoring services in residential care homes. Healthcare Computing: Developments in Primary Care.114–122 (2004).
   Google Scholar
• Sarela A, Korhnonen I, Lotjonen J, Sola M, Myllymaki IST. Vivago – an intelligent social and remote wellness monitoring system for the elderly. Proc. IEEE Conference Information Technology in Applications in Biomedicine. UK 362–365 (2003).
   Google Scholar
• Paavilainen P, Korhonen I, Partinen M. Telemetric activity monitoring as indicator of long-term changes in health and well-being of older people. Gerontechnology492, 77–85 (2005).
   Google Scholar
• Benbasat AY, Paradiso JA. Design of a real-time adaptive power optimal sensor system. Proc. IEEE Sensors. Austria 48–51 (2004).
   Google Scholar
• WHO. The world health report 2002. Reducing risks, promoting healthy life.WHO, Geneva, Switzerland, (2002).
   Google Scholar
• Mathie MJ, Coster ACF, Lovell NH, Celler BG, Lord SR, Teidemann A. A pilot study of long-term monitoring of human movements in the home using accelerometry. J. Telemed. Telecare10(3), 144–151 (2004).
   PubMedGoogle Scholar
• Steele BG, Holt L, Belza B, Ferris S, Lakshminaryan S, Buchner DM. Quantitating physical activity in COPD using a triaxial accelerometer. Chest117(5), 1359–1367 (2000).
   PubMed Web of Science ®Google Scholar
• Wark T, Karunanithi M, Chan W. A framework for linking gait characteristics of patients with accelerations of the waist. Proc. International Conference of the IEEE Engineering in Medicine and Biology Science (EMBEC) 2005.Shanghai, China 7695–7698 (2005).
   Google Scholar
• Mathie MJ, Coster ACF, Lovell NH et al. Accelerometry: providing an integral, practical method for long-term, ambulatory monitoring of human movement. Physiological Measurement25, 1–20 (2004).
   PubMed Web of Science ®Google Scholar
• Culhane KM, O’Connor M, Lyons D, Lyons GM. Accelerometers in rehabilitation medicine for older adults. Age Ageing34, 556–560 (2005).
   PubMed Web of Science ®Google Scholar
• Raymakers JA, Samson MM, Verhaar HJJ. The assessment of body sway and the choice of the stability parameter(s). Gait Posture21, 48–58 (2005).
   PubMed Web of Science ®Google Scholar
• Karantonis DM, Narayanan MR, Mathie M, Lovell NH, Celler BG. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Transact. Info. Technol. Biomed.10(1), 156–166 (2006).
   PubMed Web of Science ®Google Scholar
• Mathie MJ, Cellar BG, Lovell NH, Coster ACF. Classification of basic daily movements using a triaxial accelerometer. Med. Biol. Eng. Comput.42, 679–687 (2004).
   PubMed Web of Science ®Google Scholar
• McGrath BP. Ambulatory blood pressure monitoring. Med. J. Aust.176(12), 588–592 (2002).
   PubMedGoogle Scholar
• Shaltis P, Wood L, Reisner A et al. Novel design for a wearable, rapidly deployable, wireless noninvasive triage sensor. Proc. International Conference on the IEEE Engineering in Medicine and Biology Science (EMBEC). Shanghai, China 3567–3570 (2005).
   Google Scholar
• Coyle MA, Keenan DB, Henderson LS et al. Evaluation of an ambulatory system for the quantification of cough frequency in patients with chronic obstructive pulmonary disease. Cough1(3), 1–7 (2005).
   PubMedGoogle Scholar
• Muhlsteff J, Such R, Schmidt M et al.Wearable approach for continuous ECG – and activity patient monitoring. International Conference of the IEEE Engineering in Medicine and Biology Science (EMBEC). CA, USA, 1(3), 2184–2187(2004).
   Google Scholar
• Paradiso R. Wearable health care system for vital signs monitoring. Proc. IEEE Conference Information Technology in Applications in Biomedicine. UK 283–286 (2003).
   Google Scholar
• Rialle V, Duchene F, Noury N et al. Health “smart” home: information technology for patients at home. Telemed. J. e-Health8(4), (2002).
   PubMedGoogle Scholar
• Doughty K, Williams G. Practical solutions for the integration of community alarms, assistive technologies and telecare. Quality in Ageing-Policy, Practice Res.2(1), 31–47 (2001).
   Google Scholar
• Mynatt E, Rogers W. Developing technology to support the function independence of older adults. Ageing Intl27(1), 24–41 (2001).
   Google Scholar
• Cleland JGF, Louis AA, Rigby AS et al. Non-invasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death. The Trans-European Network-Home-care Management System (TEN-HMS) study. J. Am. Coll. Cardiol.45(10), 1654–1664 (2005).
   PubMed Web of Science ®Google Scholar
• LaFramboise LM, Todero CM, Zimmerman L et al. Comparison of health buddy with traditional approaches to heart failure management. Fam. Community Health26(4), 275–288 (2003).
   PubMed Web of Science ®Google Scholar
• Korhonen I, Parkka J, van Gils M. Health monitoring in home of the future: infrastructure and usage models for wearable sensors that measure health data in the daily environments of the users. IEEE Eng. Med. Biol. Magazine May/June, 66–73 (2003).
   PubMedGoogle Scholar
• Suzuki R, Otake S, Izutsu T et al. Monitoring daily living activities of elderly people in a nursing home using an infrared motion-detection system. Telemed. J. e-Health12(2), 146–155 (2006).
   PubMedGoogle Scholar
• Magnusson L, Hanson E, Borg M. A literature review study of information and communication technology as a support for frail older people living at home and their family carers. Technol. Disability16, 223–235 (2004).
   Google Scholar
• Yao J, Warren S. Applying the ISO/IEEE 11073 standards to wearable home health monitoring systems. J. Clin. Monit. Comput.19(6), 427–436 (2005).
   PubMedGoogle Scholar
• Guillen S, Arredondo, Traver V et al. User satisfaction with home telecare based on broadband communication. J. Telemed. Telecare8(2), 81–90 (2002).
   PubMed Web of Science ®Google Scholar
• Kolitsi Z, Lakovidis I. Improving user acceptance of health-care telematics. J. Telemed. Telecare6(Suppl. 2), 37–39 (2000).
   Google Scholar
• Tinker A. Disembodied voices. Community Care30, 13–19 (1995).
   Google Scholar
• Welsh S, Hassiotis A, O’Mahoney G et al. Big brother is watching you – the ethical implications of electronic surveillance measures in the elderly with dementia and in adults with learning difficulties. Ageing & Mental Health795, 372–375 (2003).
   Google Scholar
• Blanchard J. Ethical considerations of home monitoring technology. Home Health Care Technol. Report4(53), 63–64 (2004).
   Google Scholar
• Korhonen I, Parkka J, van Gils M. Health monitoring in home of the future: infrastructure and usage models for wearable sensors that measure health data in the daily environments of the users. IEEE Eng. Med. Biol. Magazine May/June, 66–73 (2003).
   PubMedGoogle Scholar
• Celler BG, Lovell NH, Basilakis J. Using information technology to improve the management of chronic disease. Med. J. Aust.179(5), 242–246 (2003).
   PubMed Web of Science ®Google Scholar
• Alwan M, Mack D, Dalal S et al. Impact of passive in-home health status monitoring technology in home health: outcome pilot. Proc. 1st Distributed Diagnosis and Home healthcare (D2H2) Conference. VA, USA, April 2–4, 2006.
   Google Scholar
• Williams G, Doughty K, Bradley DA. Safety and risk issues in using telecare. J. Telemed. Telecare6(5), 249–262 (2000).
   PubMedGoogle Scholar
• Doughty K, Cameron K, Garner P. Three generations of telecare of the elderly. J. Telemed. Telecare2(2), 71–80 (1996).
   PubMedGoogle Scholar