A Fall Prevention System for the Elderly: Preliminary Results

Palestra, Giuseppe; Rebiai, Mohamed; Courtial, Estelle; Giokas, Kostas; Koutsouris, Dimitrios

doi:10.1109/cbms.2017.130

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…All the participants confirmed that they were able to easily use the KINOPTIM system and that they felt comfortable enough. However, some improvements in terms of graphical interface have been necessary [33]. Therefore, the overall average and standard deviation scores for the system usability (M = 4.06, SD = 0.55) have been calculated and can be considered as very satisfactory for the system evaluation.…”

Section: Pilot Studymentioning

confidence: 99%

Evaluation of a Rehabilitation System for the Elderly in a Day Care Center

et al. 2018

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This paper presents a rehabilitation system based on a customizable exergame protocol to prevent falls in the elderly population. The system is based on depth sensors and exergames. The experiments carried out with several seniors, in a day care center, make it possible to evaluate the usability and the efficiency of the system. The outcomes highlight the user-friendliness, the very good usability of the developed system and the significant enhancement of the elderly in maintaining a physical activity. The performance of the postural response is improved by an average of 80%.

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Section: Pilot Studymentioning

confidence: 99%

Evaluation of a Rehabilitation System for the Elderly in a Day Care Center

et al. 2018

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“…The main feature of SMH is the monitoring of heart rate (HR) besides other health indicators, medicines, frailty analysis, daily progress, gait speed, and risk of falling [10].…”

Section: Main Features and Contextmentioning

confidence: 99%

A Platform for Remote Monitoring of Older Adults: The Value of Heart Rate Variability

Rodrigues

Barbosa

Carvalho

et al. 2022

Preprint

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Background: the increasing number of older adults and the inherent disabilities of human aging have been one of the biggest challenges in the health field. Hence, health technologies have been widely explored to improve the quality of life of older adults. In particular, technologies based on heart rate variability (HRV), which measures the decrease of vagal tone and sedentary behaviours in age, could be remotely used in older adults’ care. In turn, this measure has been only made available for clinical testing environments, laboratories, and hospitals. This paper presents a platform named SMH (Senior Mobile Health), which supports the development of a complete system composed of mobile apps deployed in wearables as well as web systems for the remote monitoring of the HRV data of older adults. Results: we conducted a real-world case study with 89 older adults using the SMH platform and validated the results by comparing them with those provided by a reference clinical tool, the Kubios HRV. Conclusions: we conclude the SMH platform can aggregate an important value to older adults’ care assisting in rehabilitation processes by health professionals.

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“…Recently, many studies have been conducted on the elderly [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. In particular, many studies on the prediction and detection of falls have been reported, since a single fall can cause serious injuries in the elderly [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Posture Classification with a Bed-Monitoring System Using Radio Frequency Identification

Yamauchi,

Shimoi

2023

Sensors

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Aging of the population and the declining birthrate in Japan have produced severe human resource shortages in the medical and long-term care industries. Reportedly, falls account for more than 50% of all accidents in nursing homes. Recently, various bed-release sensors have become commercially available. In fact, clip sensors, mat sensors, and infrared sensors are used widely in hospitals and nursing care facilities. We propose a simple and inexpensive monitoring system for elderly people as a technology capable of detecting bed activity, aimed particularly at preventing accidents involving falls. Based on findings obtained using that system, we aim at realizing a simple and inexpensive bed-monitoring system that improves quality of life. For this study, we developed a bed-monitoring system for detecting bed activity. It can predict bed release using RFID, which can achieve contactless measurements. The proposed bed-monitoring system incorporates an RFID antenna and tags, with a method for classifying postures based on the RFID communication status. Experimentation confirmed that three postures can be classified with two tags, seven postures with four tags, and nine postures with six tags. The detection rates were 90% for two tags, 75% for four tags, and more than 50% for six tags.

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A Fall Prevention System for the Elderly: Preliminary Results

Cited by 5 publications

References 4 publications

Evaluation of a Rehabilitation System for the Elderly in a Day Care Center

Evaluation of a Rehabilitation System for the Elderly in a Day Care Center

A Platform for Remote Monitoring of Older Adults: The Value of Heart Rate Variability

Posture Classification with a Bed-Monitoring System Using Radio Frequency Identification

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