Pervasive data capturing and analysis for patients with alzheimer's disease

Kam Yiu Lam*, Nelson Wai Hung Tsang, Joseph K Y NG, Jiantao Wang, Calvin Ho Chuen Kam, Song Han

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingChapterpeer-review

1 Citation (Scopus)


Two of the major considerations in helping patients with Alzheimer's disease are: (1) the monitoring of activities to minimize the risk in their daily lives and (2) to reduce the worsening rate of the symptoms of Alzheimer's disease. By introducing our tracking and monitoring system, SmartMind, the authors demonstrate how the latest pervasive and sensing technologies can help the patients living alone while providing immediate assistance if necessary. In addition, patients' current health statuses can be estimated daily by checking with the Normal Living Habit (NLH) recorded by the SmartMind. Since patients with Alzheimer's disease may result in serious mood problems, it is important to monitor their mood status. SmartMood, which works with SmartMind, provides estimation on the mood status of a patient by analysing his/her voice data captured from his/her smartphone while he/she is talking with others. Alerts are sent when an abnormal mood status is detected.

Original languageEnglish
Title of host publicationAdvanced Technological Solutions for E-Health and Dementia Patient Monitoring
PublisherIGI Global
Number of pages26
ISBN (Electronic)9781466674820
ISBN (Print)1466674814, 9781466674813
Publication statusPublished - 2015

Publication series

NameAdvances in medical technologies and clinical practice (AMTCP) book series
PublisherIGI Global

Scopus Subject Areas

  • Health Professions(all)
  • Medicine(all)


Dive into the research topics of 'Pervasive data capturing and analysis for patients with alzheimer's disease'. Together they form a unique fingerprint.

Cite this