Simplifying Tele-rehabilitation Devices for Their Practical Use in Non-clinical Environments

Cesarini, Daniel; Calvaresi, Davide; Marinoni, Mauro; Buonocunto, Pasquale; Buttazzo, Giorgio

doi:10.1007/978-3-319-16480-9_47

Cited by 6 publications

(14 citation statements)

References 21 publications

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“…Almost all the points fell into the straight line, with some observations that curved slightly in the extremities. This could be a sign of a light-tailed behavior since the sample grew slower than the normal distribution, approximately from (-3,-2) and reached its highest quantile before the standard normal distribution from (2,3). Thus, all the achieved results in this regard had proven our approach to be right.…”

Section: Discussionmentioning

confidence: 77%

“…This involves detecting several anomalies by using SVM first, then classifying the returned abnormal values and issuing the corresponding alerts according to their dangerousness. The third plot of Figure 14 corresponding to panel (b), unlike all other plots in which we noticed the presence of Class 1 anomalies either to the right or to the left of the mean, represents an interesting case, since most of its parameters and statistical values belonged to the abnormal blood pressure that ranged in [-3, -1] and some measures belonging to both classes that ranged in [1,3] for diastolic records. This is due to the fluctuation of data around the corresponding means.…”

Section: Applying the Normal Distribution To The Generated Samplesmentioning

confidence: 73%

“…It connects wirelessly to sense vital signs, and allows the remote, real-time diagnosis of health issues. Technologies used in association with wireless sensor networks and the Internet of Things are closely linked to many fields, such as e-health [1], gaming, sports [2], military [3] and many applications are built in protected agriculture [4]. A recent medical study reports that the average age of the populations of developing countries is increasing [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

Chefira

Rakrak

2019

Applied Sciences

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A multi-agent data-analytics-based approach to ubiquitous healthcare monitoring is presented in this paper. The proposed architecture gathers a patient’s vital data using wireless body area networks, and the transmitted information is separated into binary component parts and divided into related dataset categories using several classification techniques. A probabilistic procedure is then used that applies a normal (Gaussian) distribution to the analysis of new medical entries in order to assess the gravity of the anomalies detected. Finally, a data examination is carried out to gain insight. The results of the model and simulation show that the proposed architecture is highly efficient in applying smart technologies to a healthcare system, as an example of a research direction involving the Internet of Things, and offers a data platform that can be used for both medical decision making and the patient’s wellbeing and satisfaction with their medical treatment.

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Section: Discussionmentioning

confidence: 77%

Section: Applying the Normal Distribution To The Generated Samplesmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

Chefira

Rakrak

2019

Applied Sciences

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“…We investigated the following peer-reviewed collections of papers: ieeeXplore, 3 Sciencedirect, 4 ACM Digital Library, 5 Pubmed, 6 and Citeseerx. 7 We put additional effort to verify non-peer-reviewed literature, such arXiv e-Print, 8 while ensuring sufficient coverage of the topic under study.…”

Section: Searched Channels and Abstractmentioning

confidence: 99%

“…Performing traditional rehabilitative practices is leading to a significant increase in public-health costs and, in some cases, a lack of resources, thus worsening the quality of the services. However, implementing a method to simplify the access to health services [3] can sustain the balance between the quality of care and the growth of patient numbers. For example, patients requiring continuous or selective monitoring, can benefit from systems that automatically transmit the information gathered in their domestic environment to the health clinics, thus enabling telemonitoring of their health condition [4,5].…”

Section: Introductionmentioning

confidence: 99%

Real-time multi-agent systems for telerehabilitation scenarios

Calvaresi

Marinoni

Dragoni

et al. 2019

Artificial Intelligence in Medicine

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Telerehabilitation in older adults is most needed in the patient environments, rather than in formal ambulatories or hospitals. Supporting such practices brings significant advantages to patients, their family, formal and informal caregivers, clinicians, and researchers. This paper presents a focus group with experts in physiotherapy and telerehabilitation, debating on the requirements, current techniques and technologies developed to facilitate and enhance the effectiveness of telerehabilitation, and the still open challenges. Particular emphasis is given to (i) the body-parts requiring the most rehabilitation, (ii) the typical environments, initial causes, and general conditions, (iii) the values and parameters to be observed, (iv) common errors and limitations of current practices and technological solutions, and (v) the envisioned and desired technological support. Consequently, it has been performed a systematic review of the state of the art, investigating what types of systems and support currently cope with telerehabilitation practices and possible matches with the outcomes of the focus group. Technological solutions based on video analysis, wearable devices, robotic support, distributed sensing, and gamified telerehabilitation are examined. Particular emphasis is given to solutions implementing agent-based approaches, analyzing and discussing strength, limitations, and future challenges. By doing so, it has been possible to relate functional requirements expressed by professional physiotherapists and researchers, with the need for extending multi-agent systems (MAS) peculiarities at the sensing level in wearable solutions establishing new research challenges. In particular, to be employed in safety-critical cyber-physical scenarios with user-sensor and sensor-sensor interactions, MAS are requested to handle timing constraints, scarcity of resources and new communication means, crucial to providing real-time feedback and coaching. Therefore, MAS pillars such as the negotiation protocol and the agent's internal scheduler have been investigated, proposing solutions to achieve the aforementioned real-time compliance.

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Agent-Based Systems for Telerehabilitation: Strengths, Limitations and Future Challenges

Calvaresi

Schumacher

Marinoni

et al. 2017

Agents and Multi-Agent Systems for Health Care

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Simplifying Tele-rehabilitation Devices for Their Practical Use in Non-clinical Environments

Cited by 6 publications

References 21 publications

Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

Real-time multi-agent systems for telerehabilitation scenarios

Agent-Based Systems for Telerehabilitation: Strengths, Limitations and Future Challenges

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