A General mHealth Design Pipeline

Vagg, Tamara; Plant, Barry J.; Tabirca, Sabin

doi:10.1145/3007120.3007147

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…The General mHealth Design Pipeline [8] first suggests gathering insights from key stakeholders to mHealth applications (patients and medical professionals). As such a survey is conducted with CF adult patients from the Cork University Hospital to include their insights before developing a written report with medical professionals.…”

Section: Patient Mhealth Surveymentioning

confidence: 99%

“…This section will discuss the design and development of the app under the headings Preparation, Back-End, Front-End, and Deployment, in accordance to the mHealth Design Pipeline described by Vagg et al [8]. To note, a series of informal scoping meetings was held with the CF nurse specialists from the Cork adult CF unit (>10).…”

Section: General Mhealth Design Pipeline Overviewmentioning

confidence: 99%

“…This chapter will first begin by introducing the CF unit responsible for its development, before discussing patient passports. Following this, the chapter will introduce the development of this mHealth app which follows the mHealth Design Pipeline as presented by Vagg et al [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults

Vagg¹,

Shortt²,

Fleming³

et al. 2020

Cystic Fibrosis - Heterogeneity and Personalized Treatment

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In this chapter, we will discuss the design and development of a patient passport mHealth application for Cystic Fibrosis adults from ideation to app-store release. By allowing the patients access to their own unique data, it is anticipated that it will be of benefit when travelling abroad and between CF centres. The design process followed a pipeline we developed that is informed by patient and healthcare professional input. The app structure resembles an Irish patient file and is divided into three categories: "My CF Info", "My Medical History", and "My Clinical Appointments". My CF Info allows the patient to store personal information such genotype, medical team contact information, physiotherapy, allergies, and medications. My Medical History allows the user to record information such as CF renal disease, CF diabetes, and the insertion/removal of a portacath/gastrostomy tube. My Clinical Appointments allows the user to record the type of appointment (annual assessment, clinic, other) and all information that would ordinarily be inserted into a patient file such as weight, height, spirometry and other comments. Weight and lung function are also displayed in a plot graph. The app has undergone pilot testing with five CF adults before being rolled out onto the Google Play Store.

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Section: Patient Mhealth Surveymentioning

confidence: 99%

Section: General Mhealth Design Pipeline Overviewmentioning

confidence: 99%

See 1 more Smart Citation

Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults

Vagg¹,

Shortt²,

Fleming³

et al. 2020

Cystic Fibrosis - Heterogeneity and Personalized Treatment

Self Cite

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“…Essential to human life, healthcare remains costly, administered by a complex and insular apparatus, and often out of reach for many. Omnipresent and with advanced sensing and computing capabilities, smartphones can place, for the first time, advanced diagnosing and health monitoring capacities in people's hands, significantly democratizing healthcare [1]. With cardiovascular diseases (CVD) claiming more lives every year than cancer and chronic lung diseases combined [2], heart activity monitoring attracted some of the first works in the area [3].…”

Section: Introductionmentioning

confidence: 99%

HandRate: Heart Rate Monitoring While Simply Holding a Smartphone

Jiokeng

Jakllari

Beylot

2021

2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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We present HandRate, the first smartphone-based system using a standard sensor (accelerometer) for opportunistically computing heart rate while a user holds their phone. Fundamentally, HandRate revisits ballistocardiography (BCG), a century-old technique for monitoring heart activity by measuring the body movement caused by the cardiac cycle. Traditionally performed using custom hardware, attached to a subject's body, revisiting BCG for the smartphone, held in hand, faces several challenges. The hand is an external organ furthest from the aorta and subject to motion artifacts, leading to a weak and noisy signal, while the position the phone is held in can impact which accelerometer axis best captures BCG. HandRate addresses these challenges by introducing a design involving two modules operating in tandem: the first aimed at transforming the accelerometer readings into a single-dimensional signal oblivious to how the phone is held, while the second module making heartbeat predictions based on this signal. Results from testing HandRate using data collected from 18 subjects show that it can estimate heart rate with accuracy similar to or better than systems requiring special sensors and/active user participation.

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“…Increasingly in people's hands and with advanced sensing, computing and communicating capabilities, the smartphone is seen as a building block of pervasive computing and key enabler of the digital healthcare [10]- [13]. Researchers have proposed smartphone-based pulse oximetry solutions predating the COVID-19 crisis.…”

mentioning

confidence: 99%

SmartPhOx: Smartphone-Based Pulse Oximetry Using a Meta-Region Of Interest

Demlabim

Jakllari

Chaput

2022

2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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We present SmartPhOx, a pure camera-andflashlight smartphone-based pulse oximetry solution. We build on the ratio-of-ratios (RR) method and linear regression, an elegant approach resting on the Beer-Lambert law and landing itself to efficient smartphone implementations. However, its implementations without specialized hardware have so far proved to be unsuitable for clinical use, in particular due to the instability of the RR measurements. We use an empirical study to shed light on the reasons why and propose using the very RR measurements to filter RR measurements -a new paradigm we call the Meta-Region of interest (Meta-ROI). We design a complete-system architecture, including a novel data structure for storing and RR values in the time and space dimensions and an efficient algorithm for identifying Meta-ROI. Results from an Android implementation of SmartPhOx with the participation of 37 volunteers show that it is the first pure camera-and-flashlight solution to meet the FDA requirement for Root Mean Square Error (RMSE).

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A General mHealth Design Pipeline

Cited by 5 publications

References 11 publications

Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults

Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults

HandRate: Heart Rate Monitoring While Simply Holding a Smartphone

SmartPhOx: Smartphone-Based Pulse Oximetry Using a Meta-Region Of Interest

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