Design of a telemonitoring system for detecting falls of the elderly

Panicker, Nitha V; A, Sukesh Kumar

doi:10.1109/icgciot.2015.7380572

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…33 Diabetes care, seizure monitoring, and fall detection provide additional examples of medical conditions where ICs benefit from trustworthy information provided by HIT for patient care. 15,17,38,39 Wearable technology allows the patient and provider to communicate via the Internet through an interconnection known as the Internet of Things (IoT). 13,37,39,39 13 This new technology also raises concerns regarding privacy maintained during short and long term communications.…”

Section: Discussionmentioning

confidence: 99%

Can caregivers trust information technology in the care of their patients? A systematic review

Noblin

Hewitt

Moqbel

et al. 2020

Informatics for Health and Social Care

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The Health Insurance Portability and Accountability Act of 1996 (HIPAA) requires that healthcare providers allow patients to engage in their healthcare by allowing access to their health records. Often patients need informal caregivers including family members or others to help them with their care. This paper explores whether trust is a key factor for informal caregivers' decision to use health information technologies (HIT) including electronic health records (EHR), patient portals, mobile apps, or other devices to care for their patient. Six reviewers conducted a comprehensive search of four literature databases using terms that pertained to a caregiver and trust to investigate the role trust plays when caregivers use HIT. While trust is a key factor for the use of HIT, it the researchers only identified ten articles that met the research question thresholds. Four main topics of trust surfaced including perceived confidentiality, perceived security, technological malfunction, and trustworthiness of the information. Trust is a critical factor for informal caregivers when using HIT to assist in the care of their patient (child, loved one, parent, or acquaintance). Based on the findings, it is clear that more research on the use of HIT by caregivers is needed.

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Section: Discussionmentioning

confidence: 99%

Can caregivers trust information technology in the care of their patients? A systematic review

Noblin

Hewitt

Moqbel

et al. 2020

Informatics for Health and Social Care

View full text Add to dashboard Cite

show abstract

“…Other examples of network infrastructures or frameworks for behaviour analysis and fall detection in the elderly are shown in [ 58 , 59 , 60 , 61 ]. A recent work [ 62 ], extended the system architecture by including mobile cloud computing implemented on an Android device for sending alerts, yet adopting an easy-to-use and familiar user-interface.…”

Section: Wearables For Senior Citizens: Related Work and Limitatimentioning

confidence: 99%

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

Tedesco

Barton

O’Flynn

2017

Sensors

107

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The objective assessment of physical activity levels through wearable inertial-based motion detectors for the automatic, continuous and long-term monitoring of people in free-living environments is a well-known research area in the literature. However, their application to older adults can present particular constraints. This paper reviews the adoption of wearable devices in senior citizens by describing various researches for monitoring physical activity indicators, such as energy expenditure, posture transitions, activity classification, fall detection and prediction, gait and balance analysis, also by adopting consumer-grade fitness trackers with the associated limitations regarding acceptability. This review also describes and compares existing commercial products encompassing activity trackers tailored for older adults, thus providing a comprehensive outlook of the status of commercially available motion tracking systems. Finally, the impact of wearable devices on life and health insurance companies, with a description of the potential benefits for the industry and the wearables market, was analyzed as an example of the potential emerging market drivers for such technology in the future.

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“…In this study, an autonomous wireless health monitoring system (AWHMS) based on GSM wireless technology is proposed for monitoring the HR and FD parameters of patients. GSM wireless technology is used in the proposed device because it has a long wireless transmission distance and uses mobile networks [17][18][19]. Three main operations-parameter measurement, data processing, and decision-making if a parameter value is abnormal-can be performed autonomously by the proposed AWHMS.…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Wireless Health Monitoring System Based on Heartbeat and Accelerometer Sensors

Fakhrulddin

Gharghan

2019

JSAN

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Falls are a main cause of injury for patients with certain diseases. Patients who wear health monitoring systems can go about daily activities without limitations, thereby enhancing their quality of life. In this paper, patient falls and heart rate were accurately detected and measured using two proposed algorithms. The first algorithm, abnormal heart rate detection (AHRD), improves patient heart rate measurement accuracy and distinguishes between normal and abnormal heart rate functions. The second algorithm, TB-AIC, combines an acceleration threshold and monitoring of patient activity/inactivity functions to accurately detect patient falls. The two algorithms were practically implemented in a proposed autonomous wireless health monitoring system (AWHMS). The AWHMS was implemented based on a GSM module, GPS, microcontroller, heartbeat and accelerometer sensors, and a smartphone. The measurement accuracy of the recorded heart rate was evaluated based on the mean absolute error, Bland–Altman plots, and correlation coefficients. Fourteen types of patient activities were considered (seven types of falling and seven types of daily activities) to determine the fall detection accuracy. The results indicate that the proposed AWHMS succeeded in monitoring the patient’s vital signs, with heart rate measurement and fall detection accuracies of 98.75% and 99.11%, respectively. In addition, the sensitivity and specificity of the fall detection algorithm (both 99.12%) were explored.

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Design of a telemonitoring system for detecting falls of the elderly

Cited by 7 publications

References 12 publications

Can caregivers trust information technology in the care of their patients? A systematic review

Can caregivers trust information technology in the care of their patients? A systematic review

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

An Autonomous Wireless Health Monitoring System Based on Heartbeat and Accelerometer Sensors

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