Development of a MIot Gait Tracking Platform

Navarrete, Manuel; Codina, Marc; Rezaee, Ashkan; Castells-Rufas, David; Castillejo, Armand; Carrabina, Jordi

doi:10.1007/978-3-031-21333-5_43

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…The savings of the new method will depend on the reduction (%) in the total number of falls obtained when taking palliative measures out of the alarms generated by the IoMT solution set as fall risk indexes (e.g., red is high-risk). The monitoring IoMT system considered in the analysis of this case is based on a more complex device, in this case composed of a pair of insoles containing an IMU and a pressure sensor surface to extract gait parameters from the patients [40,41]. Again, these are connected to a smartphone app and then to the cloud where a fall risk index is computed, and a user interface allows the clinicians to personalize that index according to the patient's health state.…”

Section: Fall Risk Assessmentmentioning

confidence: 99%

“…Figure 2 summarizes the criteria used to segment the population older than 65 years according to their health state (process model) for the three cases studied in this paper together with the device provided by the IoMT solution (equipment sizing), the deployment costs according to the duration of the study to be compared with the current model costs (process economics) and the final computation of the related KPIs (analysis). The monitoring IoMT system considered in the analysis of this case is based on a more complex device, in this case composed of a pair of insoles containing an IMU and a pressure sensor surface to extract gait parameters from the patients [40,41]. Again, these are connected to a smartphone app and then to the cloud where a fall risk index is computed, and a user interface allows the clinicians to personalize that index according to the patient's health state.…”

Section: Surgery Recoverymentioning

confidence: 99%

See 1 more Smart Citation

Technoeconomic Analysis for Deployment of Gait-Oriented Wearable Medical Internet-of-Things Platform in Catalonia

Codina,

Castells-Rufas,

Torrelles

et al. 2024

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The Internet of Medical Things (IoMT) extends the concept of eHealth and mHealth for patients with continuous monitoring requirements. This research concentrates on the use of wearable devices based on the use of inertial measurement units (IMUs) that account for a gait analysis for its use in three health cases, equilibrium evaluation, fall prevention and surgery recovery, that impact a large elderly population. We also analyze two different scenarios for data capture: supervised by clinicians and unsupervised during activities of daily life (ADLs). The continuous monitoring of patients produces large amounts of data that are analyzed in specific IoMT platforms that must be connected to the health system platforms containing the health records of the patients. The aim of this study is to evaluate the factors that impact the cost of the deployment of such an IoMT solution. We use population data from Catalonia together with an IoMT deployment model for costs from the current deployment of connected devices for monitoring diabetic patients. Our study reveals the critical dependencies of the proposed IoMT platforms: from the devices and cloud cost, the size of the population using these services and the savings from the current model under key parameters such as fall reduction or rehabilitation duration. Future research should investigate the benefit of continuous monitoring in improving the quality of life of patients.

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Section: Fall Risk Assessmentmentioning

confidence: 99%

Section: Surgery Recoverymentioning

confidence: 99%