scholarly journals IoT Based Ambulance Alert System for Geriatric people

Author(s):  
Lavanya S ◽  
Madhumitha M ◽  
Srividhya R ◽  
Srividhyasakthi V

Geriatric people are more prone to physiological imbalances due to the effect of aging. They face many problems in their day to day life which are needed to be solved before any serious complication arises. Most of the geriatric people are not getting adequate healthcare especially in case of old age homes the manager has to visit them in person to check their condition. Thus, providing them with remote and quick access to healthcare has become crucial. Our work focuses on, design of Internet of Things based vital parameter monitor for geriatric people along with Ambulance alert system. This device helps the old age home managers to monitor the condition of the patients with the help of an application. Based on Internet of Things technology, the application gets the temperature and SpO2 data of a patient and in case of emergency, nearby ambulances are tracked and alerted to save the lives. In addition, it will also be useful for contactless monitoring of patients who are affected by COVID-19 virus.

Boundary detection and alert system is a straightforward and effective idea, which utilizes Internet of Things technology. By utilizing this framework border monitoring is 100% protected and secure. It naturally alarms the intruder when the vehicle goes over the specific range in borders. This is finished by a sensor called Global positioning system (GPS). It detects the current position of the vehicle and switch on the caution framework naturally. In this anticipate, no need of manual operations like on time and off time setting. GPS and IoT are the fundamental segments of the task. The resistances of the alert system changes as per the distance between the current position of the vehicle and the border get decreased or increased.


Author(s):  
Divya Raj ◽  
Subramaniam Santhi ◽  
G. J. Sara Sapharina

AbstractObjectivesThis study finds out the effectiveness of neurobic exercise program on memory and depression among elderly residing in old age homes.MethodsThe non-probability purposive sampling technique was used for sample selection. Wechsler's memory scale (WMS-IV) and Geriatric depression scale (GDS) were the instruments used to assess the memory and depression among elderly during the pretest and posttest, respectively and the researcher had developed data sheet to collect information about the background variables using interview technique.ResultsThe neurobic exercise program was found to be effective in reducing depression among elderly residing in old age homes. There was a significant difference (p<0.001) in the level of depression had been found during the pretest and posttest in the interventional group. There was a statistically significant difference (p<0.001) found between the study group and in the control group. There was significant correlation (r=0.417, p<0.05) found between the memory and depression during the pretest in the study group among the elderly. A statistically significant association (p<0.05) found in the mean scores of depression and marital status of the elderly during the pretest in the study group and there was a significant association (p<0.01) found in the mean scores of depression and the gender of the elderly during the pretest and posttest in the non interventional group were found.ConclusionsThe findings suggested that neurobic exercise program is an effective intervention in improving memory and reducing depression.


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