SwePub - search: WFRF:(Vezzoli Angelo)

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1.	Crema, Claudio, et al. (author) Virtual Respiratory Rate Sensors : An Example of A Smartphone-Based Integrated and Multiparametric mHealth Gateway 2017 In: IEEE Transactions on Instrumentation and Measurement. - 0018-9456 .- 1557-9662. ; 66:9, s. 2456-2463 Journal article (peer-reviewed)abstract In the last few years, several wearables appeared in the market, for fitness and healthcare applications. Such smart devices have been proposed as a possible solution for lowering the costs of healthcare, leading to the mHealth revolution. In the typical scenario, each wearable, embedding sensors, processing units and communication modules, adopts a smartphone for data collection, data displaying, and remote communication. In this paper, authors modify this paradigm simplifying the wearables (e.g., relying only on simple analog front ends and communication interfaces) and exploiting the (relatively large) computational capability of the smartphone, not only for implementing gateway features but also for processing raw biosignals as well. Several experiments verify the feasibility of the proposed approach and demonstrate that 'local' biosensor virtualization is possible, expanding possibilities of mHealth. In particular, tests have been carried out to evaluate the performance of hearth rate computation and respiratory rate virtual sensor, starting from a single-lead electrocardiogram signal.

Crema, Claudio, et al. (author)
Virtual Respiratory Rate Sensors : An Example of A Smartphone-Based Integrated and Multiparametric mHealth Gateway
2017
In: IEEE Transactions on Instrumentation and Measurement. - 0018-9456 .- 1557-9662. ; 66:9, s. 2456-2463
Journal article (peer-reviewed)abstract
- In the last few years, several wearables appeared in the market, for fitness and healthcare applications. Such smart devices have been proposed as a possible solution for lowering the costs of healthcare, leading to the mHealth revolution. In the typical scenario, each wearable, embedding sensors, processing units and communication modules, adopts a smartphone for data collection, data displaying, and remote communication. In this paper, authors modify this paradigm simplifying the wearables (e.g., relying only on simple analog front ends and communication interfaces) and exploiting the (relatively large) computational capability of the smartphone, not only for implementing gateway features but also for processing raw biosignals as well. Several experiments verify the feasibility of the proposed approach and demonstrate that 'local' biosensor virtualization is possible, expanding possibilities of mHealth. In particular, tests have been carried out to evaluate the performance of hearth rate computation and respiratory rate virtual sensor, starting from a single-lead electrocardiogram signal.

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