Telemedicine for Dementia-Affected Patients: The AAL-ACCESS Project Experience

Alzheimer’s disease now affects about 5% of people over 60 years and in Italy, it means about 500,000 patients. It is the most common form of dementia, a state caused by an alteration of the brain function that implies a serious difficulty to conduct normal daily activities. This work describes the experience gained with development and experimentation of an ICT system to remotely support the care of the person with cognitive impairment within the AAL ACCESS Project.

[1]  S. Perrey,et al.  Decrease in heart rate variability with overtraining: assessment by the Poincaré plot analysis , 2004, Clinical physiology and functional imaging.

[2]  Rosanna Orlando,et al.  QT dispersion in mild cognitive impairment: a possible tool for predicting the risk of progression to dementia? , 2013, International journal of geriatric psychiatry.

[3]  Sami Saalasti,et al.  Ability of short-time Fourier transform method to detect transient changes in vagal effects on hearts: a pharmacological blocking study. , 2006, American journal of physiology. Heart and circulatory physiology.

[4]  A. Murray,et al.  Autonomic Function Assessed by Heart Rate Variability Is Normal in Alzheimer’s Disease and Vascular Dementia , 2005, Dementia and Geriatric Cognitive Disorders.

[5]  A. Malliani,et al.  Cardiovascular Neural Regulation Explored in the Frequency Domain , 1991, Circulation.

[6]  B. Sayers,et al.  Analysis of heart rate variability. , 1973, Ergonomics.

[7]  H. Arai,et al.  Impaired heart rate variability in patients with dementia with Lewy bodies: Efficacy of electrocardiogram as a supporting diagnostic marker. , 2015, Parkinsonism & related disorders.

[8]  G. Sancesario,et al.  Cerebrospinal fluid levels of a 20-22 kDa NH2 fragment of human tau provide a novel neuronal injury biomarker in Alzheimer's disease and other dementias. , 2014, Journal of Alzheimer's disease : JAD.

[9]  J. Legramante,et al.  Revisiting the potential of time-domain indexes in short-term HRV analysis , 2006, Biomedizinische Technik. Biomedical engineering.

[10]  Andrew Leitch,et al.  Calculate the QT interval in patients taking drugs for dementia , 2007, BMJ : British Medical Journal.

[11]  L. Howes.  Cardiovascular Effects of Drugs Used to Treat Alzheimer’s Disease , 2014, Drug Safety.

[12]  R. Cohen,et al.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. , 1981, Science.

[13]  W. Stevenson,et al.  Patterns of beat-to-beat heart rate variability in advanced heart failure. , 1992, American heart journal.

[14]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[15]  Torgeir Bruun Wyller,et al.  Reduced Sympathetic Response to Head-Up Tilt in Subjects with Mild Cognitive Impairment or Mild Alzheimer's Dementia , 2015, Dementia and Geriatric Cognitive Disorders Extra.

[16]  Marimuthu Palaniswami,et al.  Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? , 2001, IEEE Transactions on Biomedical Engineering.

[17]  A L Goldberger,et al.  Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. , 2000, Circulation.