When eHealth Meets IoT: A Smart Wireless System for Post-Stroke Home Rehabilitation

Bisio, Igor; Garibotto, Chiara; Lavagetto, Fabio; Sciarrone, Andrea

doi:10.1109/mwc.001.1900125

Cited by 55 publications

(44 citation statements)

References 13 publications

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“…In many cases, it is difficult to obtain accurate physiological data of patients. In the entire implementation of sports rehabilitation training, if the patient’s accurate physiological data cannot be obtained, the patient’s rehabilitation treatment will be greatly affected [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19

Tao

et al. 2021

Pers Ubiquit Comput

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Stroke patients under the background of the new crown epidemic need to be home-based care. However, traditional nursing methods cannot take care of the patients' lives in all aspects. Based on this, based on machine learning algorithms, our work combines regression models and SVM to build a smart wearable device system and builds a system prediction module to predict patient care needs. The node is used to collect human body motion and physiological parameter information and transmit data wirelessly. The software is used to quickly process and analyze the various motion and physiological parameters of the patient and save the analysis and processing structure in the database. By comparing the results of nursing intervention experiments, we can see that the smart wearable device designed in this paper has a certain effect in stroke care.

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Section: Introductionmentioning

confidence: 99%

The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19

Tao

et al. 2021

Pers Ubiquit Comput

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“…et al (2019a) ; Alva et al (2020) ; Cerqueira et al (2020) ; Gathmann et al (2020) ). These technologies have been used to enhance the sensory capability of patients with NMSK disabilities (such as Simon et al (2015) ; Lopes and Baudisch (2017) ; Bisio et al (2019) ; Alva et al (2020) ; Gathmann et al (2020) ). These technologies have also been categorized under the umbrella of the Internet of Medical Things (IoMT) ( Bisio et al (2019) )) and smart environments.…”

Section: Categories Of Robotic Systems For Boosting Care Deliverymentioning

confidence: 99%

“…These technologies have been used to enhance the sensory capability of patients with NMSK disabilities (such as Simon et al (2015) ; Lopes and Baudisch (2017) ; Bisio et al (2019) ; Alva et al (2020) ; Gathmann et al (2020) ). These technologies have also been categorized under the umbrella of the Internet of Medical Things (IoMT) ( Bisio et al (2019) )) and smart environments. Related to COVID-19, recently, researchers are utilizing wearable technologies for following the time-series of symptoms of patients, especially those with NMSK disabilities which may degrade the ability to monitor the symptoms through traditional means, and evaluate the evolution and dynamics in bio-markers.…”

Section: Categories Of Robotic Systems For Boosting Care Deliverymentioning

confidence: 99%

“…As a result, a gradual recovery is not the primary focus of assistive technologies. Assistive technologies are realized in various modalities of interaction, including smart wearable mechatronics ( Simon et al (2015) ; Chen et al (2017) ; Lopes and Baudisch (2017) ; Maisto et al (2017) ; Bisio et al (2019) ; Yang et al (2019a) ; Alva et al (2020) ; Cerqueira et al (2020) ; Gathmann et al (2020) ), handheld robots ( Pathak et al (2014) ; Stamford et al (2015) ; Sabari et al (2019) ), exoskeletons ( Gopura et al (2016) ; Pazzaglia and Molinari (2016) ; Young and Ferris (2016) ; Hill et al (2017) ; Settembre et al (2020) ), and smart wheelchairs (under autonomous robots) ( Chow and Xu (2006) ; Parikh et al (2007) ; Leaman and La. (2017) ).…”

Section: Assistive Technologiesmentioning

confidence: 99%

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Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

2021

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Worldwide, at the time this article was written, there are over 127 million cases of patients with a confirmed link to COVID-19 and about 2.78 million deaths reported. With limited access to vaccine or strong antiviral treatment for the novel coronavirus, actions in terms of prevention and containment of the virus transmission rely mostly on social distancing among susceptible and high-risk populations. Aside from the direct challenges posed by the novel coronavirus pandemic, there are serious and growing secondary consequences caused by the physical distancing and isolation guidelines, among vulnerable populations. Moreover, the healthcare system’s resources and capacity have been focused on addressing the COVID-19 pandemic, causing less urgent care, such as physical neurorehabilitation and assessment, to be paused, canceled, or delayed. Overall, this has left elderly adults, in particular those with neuromusculoskeletal (NMSK) conditions, without the required service support. However, in many cases, such as stroke, the available time window of recovery through rehabilitation is limited since neural plasticity decays quickly with time. Given that future waves of the outbreak are expected in the coming months worldwide, it is important to discuss the possibility of using available technologies to address this issue, as societies have a duty to protect the most vulnerable populations. In this perspective review article, we argue that intelligent robotics and wearable technologies can help with remote delivery of assessment, assistance, and rehabilitation services while physical distancing and isolation measures are in place to curtail the spread of the virus. By supporting patients and medical professionals during this pandemic, robots, and smart digital mechatronic systems can reduce the non-COVID-19 burden on healthcare systems. Digital health and cloud telehealth solutions that can complement remote delivery of assessment and physical rehabilitation services will be the subject of discussion in this article due to their potential in enabling more effective and safer NMSDK rehabilitation, assistance, and assessment service delivery. This article will hopefully lead to an interdisciplinary dialogue between the medical and engineering sectors, stake holders, and policy makers for a better delivery of care for those with NMSK conditions during a global health crisis including future pandemics.

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“…Human motion analysis helps physicians and physiotherapists identify abnormal movements and plan and assess the correctness of rehabilitation programmes [ 169 ] (see Table 7 ). More specifically, applications of body motion measurements in healthcare are diverse, including the analysis of gait patterns and the assessment of gait abnormalities [ 170 , 171 , 172 ]; the development of corrective posture systems for rehabilitation purposes; enhance athletes’ performance [ 173 , 174 , 175 ]; the detection of falls (especially for the elderly) [ 176 , 177 , 178 ]; and the recognition of gestures and activities [ 179 , 180 ].…”

Section: Sensors: Definition and Taxonomymentioning

confidence: 99%

Sensors for Context-Aware Smart Healthcare: A Security Perspective

Batista

Moncusi

López-Aguilar³

et al. 2021

Sensors

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The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people’s welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.

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When eHealth Meets IoT: A Smart Wireless System for Post-Stroke Home Rehabilitation

Cited by 55 publications

References 13 publications

The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19

The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19

Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

Sensors for Context-Aware Smart Healthcare: A Security Perspective

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