Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

Liu, Qingling; Mkongwa, Kefa G.; Zhang, Chaozhu

doi:10.1007/s42452-020-04058-2

Cited by 90 publications

(40 citation statements)

References 74 publications

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“…However, world population reports higher susceptibility to age-related diseases that can be addressed by health technology. Wireless Body Area Network (WBAN) has been explored as a healthcare technology that can monitor blood pressure, blood sugar level or other physiological variable that prevent catastrophic events [ 45 ]. WBAN architecture involves a dense network of sensor and actuators distributed in the body that interact with a coordinator that sends information outside the WBAN, a smartphone is normally used as a gateway.…”

Section: Discussionmentioning

confidence: 99%

Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems

Cardenas

Gutiérrez

Aguilar-Ponce

2021

Sensors

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The growing elderly population living independently demands remote systems for health monitoring. Falls are considered recurring fatal events and therefore have become a global health problem. Fall detection systems based on WiFi radio frequency signals still have limitations due to the difficulty of differentiating the features of a fall from other similar activities. Additionally, the antenna orientation has not been taking into account as an influencing factor of classification performance. Therefore, we present in this paper an analysis of the classification performance in relation to the antenna orientation and the effects related to polarization and radiation pattern. Furthermore, the implementation of a device-free fall detection platform to collect empirical data on falls is shown. The platform measures the Doppler spectrum of a probe signal to extract the Doppler signatures generated by human movement and whose features can be used to identify falling events. The system explores two antenna polarization: horizontal and vertical. The accuracy reached by horizontal polarization is 92% with a false negative rate of 8%. Vertical polarization achieved 50% accuracy and false negatives rate.

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Section: Discussionmentioning

confidence: 99%

Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems

Cardenas

Gutiérrez

Aguilar-Ponce

2021

Sensors

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“…In such a remote monitoring context, the wireless BSN (WBSN) system has specific requirements such as high reliability, low power consumption, and high data security. In addition, a WBSN can involve off-body, on-body, and in-body sensors; thus, we can differentiate extra-WBSN and intra-WBSN communication [ 5 ]. Connectivity solutions mostly use radiofrequency (RF) wireless technologies through different standards such as Bluetooth Low Energy among others [ 6 , 7 ], with air then being the communication medium.…”

Section: Introductionmentioning

confidence: 99%

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

Kaba

Sahuguède

Julien-Vergonjanne

2021

Sensors

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The growing aging of the world population is leading to an aggravation of diseases, which affect the autonomy of the elderly. Wireless body sensor networks (WBSN) are part of the solutions studied for several years to monitor and prevent loss of autonomy. The use of optical wireless communications (OWC) is seen as an alternative to radio frequencies, relevant when electromagnetic interference and data security considerations are important. One of the main challenges in this context is optical channel modeling for efficiently designing high-reliability systems. We propose here a suitable optical WBSN channel model for tracking the elderly during a walk. We discuss the specificities related to the model of the body, to movements, and to the walking speed by comparing elderly and young models, taking into account the walk temporal evolution using the sliding windowing technique. We point out that, when considering a young body model, performance is either overestimated or underestimated, depending on which windowing parameter is fixed. It is, therefore, important to consider the body model of the elderly in the design of the system. To illustrate this result, we then evaluate the minimal power according to the maximal bandwidth for a given quality of service.

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“…Remote healthcare systems gain high attention, with the recent advances of sensory manufacturing, and the great evolution in telecommunication industry. There are many literatures that consider developing remote healthcare systems based on WBAN [11][12][13]. However, rare literatures consider integrating WBAN with IoT paradigm.…”

Section: Background and Related Workmentioning

confidence: 99%

IoT-Based Reusable Medical Suit for Daily Life Use in the Era of COVID-19

Ateya¹,

Algarni²,

Abdallah³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Coronavirus disease (COVID-19) is a big problem that scares people all over the world. Life over the world has changed, new aspects for daily life have been introduced. A main problem with COVID-19 is the way it spreads. Covid-19 spreads, primarily, through contact with an infected person when they cough or sneeze, or with an infected surface. Thus, a novel way to make a protection against COVID-19 is to stay away or make yourself isolated from infected people and surfaces. To this end, this work, mainly, aims to design and develop a novel auto-sterilized suit embedded with some medical sensors and other Internet of Things (IoT) devices to provide the required level of isolation, safety, tracking and monitoring of COVID-19 and other pandemic diseases. The developed suit is an auto-sterilized suit for medical purposes and for daily life use. The sterilizing process of the suit is controlled by the IoT paradigm to provide the required control and interface in an automated way. According to the location of the user, wearing the suit, an appropriate sterilizing mode is activated automatically and the suit is sterilized via distributed nozzles over the suit. Furthermore, the distributed medical sensors represent a wireless body area network (WBAN) that is integrated with an IoT gateway to provide periodic measures of medical healthcare parameters such as body temperature, breathing rate, oxygen saturation level and pulse rate. These measures are used to identify the user's health and the probability of being infected by COVID-19. All measures are transferred to the remote IoT cloud to analyze these data and monitor people around the day. In case of unusual measures, users are moved among three databases associated with health, infected and properly infected users. The suit is under prototyping and the work is mainly introduced to present the design stages.

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Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

Cited by 90 publications

References 74 publications

Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems

Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

IoT-Based Reusable Medical Suit for Daily Life Use in the Era of COVID-19

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