IoT Environment for Monitoring Human Movements: Hip Fracture Rehabilitation Case

Gupta, Akash; Al-Naime, Khalid; Al-Anbuky, Adnan

doi:10.1007/978-3-030-70807-8_3

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…For example, low-power 3D-accelerometer Microduino sensors have been integrated within different supported electronic boards. In a previous study [22] we found that 4 s epochs of data captured at a 128 Hz sampling frequency gave the optimum result for the detection of physical activities performed by elderly subjects [10]. To minimise the amount of data having to be transmitted (128 × 4), digital signal processing using a fast Fourier transform (FFT) was applied on the raw accelerometer data captured at the sensor source to determine the dominant frequency (F) with the maximum power component amplitude (A) of each 4 s data epoch [10].…”

Section: Wearable Sensor Device Rolementioning

confidence: 88%

Internet of Things Gateway Edge for Movement Monitoring in a Smart Healthcare System

2023

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Over the past two decades, there has been a notable and swift advancement in the field of healthcare with regards to the Internet of Things (IoT). This progress has brought forth a substantial prospect for healthcare services to enhance performance, transparency, and cost effectiveness. Internet of Things gateways, such as local computational facilities, mobile devices, or custom miniature computational embedded electronics like the Raspberry Pi (RPi), are crucial in facilitating the required processing and data compression tasks as well as serving as front-end event detectors. Numerous home-based healthcare monitoring systems are currently accessible; however, they have several limitations. This paper examines the role of the Raspberry Pi gateway in the healthcare system, specifically in the context of pre-operative prehabilitation programs (PoPPs). The IoT remote monitoring system employed a Microduino integrated with various supporting boards as a wearable device. Additionally, a Raspberry Pi was utilised as a base station or mobile gateway, while ThingSpeak served as the cloud platform. The monitoring system was developed with the purpose of assisting healthcare personnel in real time, remotely monitoring patients while engaging in one or more of the nine typical physical activities that are often prescribed to individuals participating in a prehabilitation program. Furthermore, an alert notification system was designed to notify the clinician and patient if the values were abnormal (i.e., the patient had not been active for many days). The integration of IOT and Raspberry Pi technology into a pre-operative prehabilitation program yielded a promising outcome with a success rate of 78%. Consequently, this intervention is expected to facilitate the resolution of challenges encountered by healthcare providers and patients, including extended waiting periods and constraints related to staffing and infrastructure.

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Section: Wearable Sensor Device Rolementioning

confidence: 88%

Internet of Things Gateway Edge for Movement Monitoring in a Smart Healthcare System

2023

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“…Different multi-layer IoT-based architectures that involve wireless sensing, data processing, communication, edge computing and Cloud computation have been proposed [1,8]. Wearable IoT-based three-layered architectures for personalized [41], home-based healthcare services [42] have also been proposed.…”

Section: Related Workmentioning

confidence: 99%

“…Hip fracture is a critical life-threatening injury and has a serious, long-term, and devastating impact on a person's physical functional performance. It is a common event among members of the older population (aged 60 and above) and causes substantial problems with a person's ability to live independently, movement restrictions, a reduction in well-being, and other health-related concerns [1][2][3]. Rehabilitation is a form of therapy whereby patients perform different types of movements, activities, and physical exercises.…”

Section: Introductionmentioning

confidence: 99%

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IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

Gupta

Al-Anbuky

2021

Future Internet

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Hip fracture incidence is life-threatening and has an impact on the person’s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person’s physical mobility, boosting their quality of life, reducing adverse clinical outcomes, and shortening hospital stays. The Internet of Things (IoT), with advancements in digital health, could be leveraged to enhance the backup intelligence used in the rehabilitation process and provide transparent coordination and information about movement during activities among relevant parties. This paper presents a post-operative hip fracture rehabilitation model that clarifies the involved rehabilitation process, its associated events, and the main physical movements of interest across all stages of care. To support this model, the paper proposes an IoT-enabled movement monitoring system architecture. The architecture reflects the key operational functionalities required to monitor patients in real time and throughout the rehabilitation process. The approach was tested incrementally on ten healthy subjects, particularly for factors relevant to the recognition and tracking of movements of interest. The analysis reflects the significance of personalization and the significance of a one-minute history of data in monitoring the real-time behavior. This paper also looks at the impact of edge computing at the gateway and a wearable sensor edge on system performance. The approach provides a solution for an architecture that balances system performance with remote monitoring functional requirements.

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IoT Environment for Monitoring Human Movements: Hip Fracture Rehabilitation Case

Cited by 2 publications

References 13 publications

Internet of Things Gateway Edge for Movement Monitoring in a Smart Healthcare System

Internet of Things Gateway Edge for Movement Monitoring in a Smart Healthcare System

IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

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