Design of an mHealth System for Maternal and Children HIV care.

While progress has been made to slow down its spread and increase uptake of treatment, human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) is still a highly significant health problem for many low- and middle-income countries (LMICs). Specifically, almost half of new HIV patients in Asia Pacific were children. The prevention of mother-to-child transmission faces complex socioeconomic and other problems.

Tablet-Based Well-Being Check for the Elderly: Development and Evaluation of Usability and Acceptability.

Background: Many elderly people prefer to live at home independently. One of the major concerns raised by the family members is the safety and well-being of their elderly family members when living independently in a home environment. To address this issue, assistive technology solutions have been available in the market.

Emerging ICT implementation issues in aged care.

Background: Demand for aged care services continues to soar as a result of an aging population. This increasing demand requires more residential aged care facilities and healthcare workforce. One recommended solution is to keep older people in their homes longer and support their independent life through the use of information and communication technologies (ICT).

Design of an unobtrusive system for fall detection in multiple occupancy residences.

A small trial was conducted to examine the feasibility of detecting falls using a combination of ambient passive infrared (PIR) and pressure mat (PM) sensors in a home with multiple occupants. The key tracking method made use of graph theoretical concepts to track each individual in the residence and to monitor them independently for falls. The proposed algorithm attempts to recognize falls where the subject experiences a hard fall on an indoor surface that leads to loss of consciousness or an inability to get up from the floor without assistance, due to severe injuries.

Simulated unobtrusive falls detection with multiple persons.

One serious issue related to falls among the elderly living at home or in a residential care facility is the "long lie" scenario, which involves being unable to get up from the floor after a fall for 60 min or more. This research uses a simulated environment to investigate the potential effectiveness of using wireless ambient sensors (dual-technology (microwave/infrared) motion detectors and pressure mats) to track the movement of multiple persons and to unobtrusively detect falls when they occur, therefore reducing the rate of occurrence of "long lie" scenarios. A path-finding algorithm (A*) is used to simulate the movement of one or more persons through the residential area.

Software simulation of unobtrusive falls detection at night-time using passive infrared and pressure mat sensors.

Falls and their related injuries are a major challenge facing elderly people. One serious issue related to falls among the elderly living at home is the 'long-lie' scenario, which is the inability to get up from the floor after a fall, followed by lying on the floor for 60 minutes, or more. Several studies of accelerometer and gyroscope-based wearable falls detection devices have been cited in the literature.