Siddharth Dalal

A Smart and Passive Floor-Vibration Based Fall Detector for Elderly

Falls are very prevalent among the elderly. They are the second leading cause of unintentional-injury death for people of all ages and the leading cause of death for elders 79 years and older. Studies have shown that the medical outcome of a fall is largely dependent upon the response and rescue time. Hence, a highly accurate automatic fall detector is an important component of the living setting for older adult to expedite and improve the medical care provided to this population. Though there are several kinds of fall detectors currently available, they suffer from various drawbacks. Some of them are intrusive while others require the user to wear and activate the devices, and hence may fail in the event of user non-compliance. This paper describes the working principle and the design of a floor vibration-based fall detector that is completely passive and unobtrusive to the resident. The detector was designed to overcome some of the common drawbacks of the earlier fall detectors. The performance of the detector is evaluated by conducting controlled laboratory tests using anthropomorphic dummies. The results showed 100% fall detection rate with minimum potential for false alarms

Impact of monitoring technology in assisted living: outcome pilot

This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life

Psychosocial Impact of Passive Health Status Monitoring on Informal Caregivers and Older Adults Living in Independent Senior Housing

This paper describes a study designed to assess some psychosocial impacts of monitoring technology on seniors living in independent senior housing. monitoring systems were installed, in 25 independent living units in an apartment complex, to track the activities of daily living (ADLs) and key alert conditions of residents. Activity reports were sent to informal caregivers. Residents (N=25) were assessed using the satisfaction with life scales (SWLS) instrument, informal caregivers (N=26) were assessed using modified caregiver strain index (CSI) and caregiver burden interview (CBI) instruments, before and after the installation of the monitoring system. Paired t-test for means was applied to the pre- and post-monitoring scores of SWLS, CSI, and CBI. The Wilcoxon matched-pairs signed-ranks nonparametric test was applied to compare the number of informal care hours pre- and post-monitoring. No statistically significant increase was observed on SWLS results. No significant changes in CSI and CBI scores were detected. There was a statistically significant increase in the number of informal care hours provided by the informal caregivers of monitored individuals. The results indicate that monitoring technologies could have enabled informal caregivers to provide more care for their loved ones without increasing their burdens, strain levels or negatively affecting their quality of life