SmartSpaghetti: Use of smart devices to solve health care problems

Uddin, Mostafa; Gupta, Ajay; Maly, Kurt; Nadeem, Tamer; Godambe, Sandip A.; Zaritsky, Arno

doi:10.1109/bibm.2013.6732598

Cited by 5 publications

(11 citation statements)

References 8 publications

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“…Forecasting can be provided through social media analytics (Abbasi et al, 2014) and Google Trends. Mobile phones (Uddin et al, 2013;Uwaoma and Masingh, 2015;Deloitte, 2018) and mobile applications (Kassem et al, 2013;Wu et al, 2016), which are all part of mobile health, are necessary to facilitate deployment and ubiquity. Most of the mobile applications for asthma care are facilitated through the Internet and Internet connected gateways.…”

Section: Discussionmentioning

confidence: 99%

Identifying the Components of a Smart Health Ecosystem for Asthma Patients

Iyawa

Khan

Dagadu³

et al. 2019

The IoT and the Next Revolutions Automating the World

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With asthma being one of the leading causes of death in different countries, the emphasis on improving the health of asthma patients is important. While the use of smart technologies is a good approach for improving the health of asthma patients, technologies need to be connected in such a way that all components of smart health form an ecosystem. However, the components of such an ecosystem have not been identified in the current literature. The purpose of this chapter was to identify the components of a smart health ecosystem for asthma patients through a systematic literature review. A total of 28 articles met the inclusion criteria. This chapter identified the components of a smart health ecosystem for asthma patients and provided a conceptual framework. The findings of the systematic literature review are expected to inform researchers on the components required for building a smart health ecosystem for asthma patients.

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Section: Discussionmentioning

confidence: 99%

Identifying the Components of a Smart Health Ecosystem for Asthma Patients

Iyawa

Khan

Dagadu³

et al. 2019

The IoT and the Next Revolutions Automating the World

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“…However, in the era of Industry 5.0 and digital manufacturing, it is essential to automate the construction of spaghetti charts, which would otherwise have to be created manually after long and numerous inspections at companies [6]. Using smart tracking devices to track the movement of resources within a system, it is possible to automatically generate spaghetti charts (that we will call, according to Uddin et al [7,8], "smart spaghetti"). In this way, a valid integrated digital system can be obtained that supports decisions and helps to make a system more efficient by identifying possible improvements to its layout and work organization [7].…”

Section: Introductionmentioning

confidence: 99%

“…Using smart tracking devices to track the movement of resources within a system, it is possible to automatically generate spaghetti charts (that we will call, according to Uddin et al [7,8], "smart spaghetti"). In this way, a valid integrated digital system can be obtained that supports decisions and helps to make a system more efficient by identifying possible improvements to its layout and work organization [7].…”

Section: Introductionmentioning

confidence: 99%

Towards Forklift Safety in a Warehouse: An Approach Based on the Automatic Analysis of Resource Flows

2020

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Warehouse management is a discipline that has gained importance in recent decades. In the era of the Digital Revolution and Industry 5.0, to enable a company to attain a competitive advantage, it is necessary to identify smart improvement tools that help search for warehouse problems and solutions. A good tool to highlight issues related to layout and resource flows is the spaghetti chart which, besides being used to minimize waste according to lean philosophy, can also be used to assess warehouse safety and reliability and improve the plant sustainability. This article shows how to exploit “smart spaghetti” (spaghetti chart automatically generated by smart tracking devices) to conceive improvements in the layout and work organization of a warehouse, reducing the risk of collision between forklifts and improving the operators’ safety. The methodology involves automatically mapping the spaghetti charts (searching for critical areas where the risk of collision is high) and identifying interventions to be carried out to avoid near misses. “Smart spaghetti” constitutes a valuable decision support tool to identify potential improvements in the system through changes in the layout or in the way activities are performed. This work shows an application of the proposed technique in a pharmaceutical warehouse.

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“…In all our experimentations and algorithm development, this aspect has been the most volatile to control and to provide reliable, accurate data. In [7] a technique was developed that fused accelerometer and gyroscope sensors and mapped the phone's 3-D coordinate system into a global coordinate system. Despite using various filters to eliminate noise, the data introduced errors that accumulated to significant errors on walks lasting more than 100 feet.…”

Section: Introductionmentioning

confidence: 99%

“…In [7] a linear model was developed that reflected a user's personalized style of walking. It needed to be calibrated by having the user walk set The third aspect concerns the direction a user is walking.…”

Section: Introductionmentioning

confidence: 99%

Dead Reckoning with Smartphone Sensors for Emergency Rooms

Pitapurapu

Gupta

Maly

et al. 2015

Inclusive Smart Cities and E-Health

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Abstract. 'Lean' principles are being applied to healthcare to optimize the operating processes. One such tool is the development of 'spaghetti diagrams' to track the movement of staff to expose inefficient layouts and identify large distances traveled between key steps in a hospital department or ward. In this paper we report on an automated tool based on smart phone sensors that will record and provide reports on the movement of staff in the emergency room of the Children's Hospital of The King's Daughters. Dead Reckoning also known as Deduced Reckoning, is a process of calculating one's current position by using a previously determined or known position, and advancing that position based upon known or estimated measurements over elapsed time and course. Most smart phones today come equipped with all the necessary sensors that allow us to design such a system. We have built a prototype system that can track a person from a known location indoors and continue to plot the user's position and can provide the number of strides the user has taken, the approximate length for each stride and direction of the user with each stride. The prototype system also includes a path correction module that considers the physical objects on a floor map and rules out corrects for paths that intersect physical objects. It has been successfully tested on a laboratory floor of the Computer Science Department of Old Dominion University and the emergency floor of the Children's Hospital.

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SmartSpaghetti: Use of smart devices to solve health care problems

Cited by 5 publications

References 8 publications

Identifying the Components of a Smart Health Ecosystem for Asthma Patients

Identifying the Components of a Smart Health Ecosystem for Asthma Patients

Towards Forklift Safety in a Warehouse: An Approach Based on the Automatic Analysis of Resource Flows

Dead Reckoning with Smartphone Sensors for Emergency Rooms

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