Introduction

Selke, Stefan

doi:10.1007/978-3-658-13137-1_1

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…En la actualidad, el espectro de aplicaciones reales que ofrecen las tecnologías de registro de actividades vitales es casi ilimitado (Gurrin; Smeaton; Doherty, 2014). Estas aplicaciones de registro pueden dividirse en cinco categorías (Selke, 2016): -autocontrol sanitario; -seguimiento de la ubicación; -externalización de la memoria humana; -vigilancia y contravigilancia; -otros usos y aplicaciones.…”

Section: Aplicaciones Del Lifeloggingunclassified

“…En personas que padecen un problema crónico de salud o alguna rara enfermedad, es de especial relevancia la sanación colaborativa, un método complementario de autovigilancia sanitaria. En este contexto, la persona compara en plataformas sociales los efectos de su medicación o de sus terapias y puede así valorar con mayor precisión las afirmaciones formuladas por sus médicos o por la industria farmacéutica (Selke, 2016).…”

Section: Autocontrol Sanitariounclassified

“…? v. 14. eISSN: 2564-8837 F.2. Lifelogging: el fenómeno de las "cajas negras" personales -Jorge Franganillo nes más extendidas del lifelogging, un hábito que ha impulsado el movimiento del "yo cuantificado" (quantified self), que promueve el autoconocimiento mediante los datos numéricos y que promete beneficios personales también en otras áreas (Selke, 2016).…”

Section: Introductionunclassified

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Lifelogging: el fenómeno de las “cajas negras” personales

Franganillo¹

2020

ThinKEPI

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Resumen: El lifelogging permite a las personas el registro digital de numerosos aspectos de la propia vida diaria. Traducido como "registro de las actividades vitales", suele practicarse con diversos grados de detalle y para una amplia variedad de propósitos. Es un registro continuo que actúa como apoyo a la memoria o incluso como sustituto de ella, y que constituye así, de alguna manera, una "caja negra", exhaustiva y rigurosa, de ciertas actividades cotidianas. Ofrece, en consecuencia, un gran potencial para extraer conocimiento sobre cómo vivimos. Aunque la "captura total" parece por ahora irrealizable, sí es posible generar registros que, a pesar de ser inevitablemente parciales o fragmentados, resultan de gran utilidad en un buen número de escenarios en los que una persona puede inferir conocimiento sobre sí misma para su propio beneficio. Pero se debe tener presente que el almacenamiento de estos datos personales en espacios remotos presenta ciertos riesgos y debe entonces considerarse con cautela.

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Section: Aplicaciones Del Lifeloggingunclassified

Section: Autocontrol Sanitariounclassified

Section: Introductionunclassified

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Lifelogging: el fenómeno de las “cajas negras” personales

Franganillo¹

2020

ThinKEPI

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“…The ubiquity of powerful smartphones and other smart devices, which nowadays incorporate a plethora of advanced sensing capabilities, has led to an increasing trend in the consumer sphere to continuously gather and evaluate physiological signals [1,2]. In particular, cardiovascular parameters such as heart rate (HR) and pulse rate (PR), extracted respectively from measurements of myocardial electrical potentials through electrocardiographic (ECG) observations [3][4][5][6] and from measurements of volumetric changes in blood perfusion during cardiac cycles by optical means through photoplethysmographic (PPG) observations [7][8][9], are being recorded and analyzed in apps, fitness trackers and so forth, with great potential benefits for public health [1,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts

Lang

2018

Technologies

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While the importance of continuous monitoring of electrocardiographic (ECG) or photoplethysmographic (PPG) signals to detect cardiac anomalies is generally accepted in preventative medicine, there remain numerous challenges to its widespread adoption. Most notably, difficulties arise regarding crucial characteristics such as real-time capability, computational complexity, the amount of required training data, and the avoidance of too-restrictive modeling assumptions. We propose a lightweight and model-free approach for the online detection of cardiac anomalies such as ectopic beats in ECG or PPG signals on the basis of the change detection capabilities of singular spectrum analysis (SSA) and nonparametric rank-based cumulative sum (CUSUM) control charts. The procedure is able to quickly detect anomalies without requiring the identification of fiducial points such as R-peaks, and it is computationally significantly less demanding than previously proposed SSA-based approaches. Therefore, the proposed procedure is equally well suited for standalone use and as an add-on to complement existing (e.g., heart rate (HR) estimation) procedures.

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“…Other researchers are critical of the commercialization of self-tracking, as they believe that the widespread use of data as a meta-social commentary on a person in his own social position can became the objective basis for a kind of static discrimination. "Disruptive developments are already appearing which show what a new taxonomy of sociality could look like in the future" (Selke, 2016). Some sociologists denounce the emergence of a new form of social and medical surveillance that arises from the merchandising of personal health-related opinions and health information produced and shared on the network by the users of self-monitoring devices (Lupton, 2012(Lupton, , 2014.…”

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confidence: 99%

Information About Ourselves from Ourselves: Young Users of Wearable Technologies in Secondary School

Matteucci

2017

Eur. j. interdiscip. stud.

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Several researchers have recognized the value of self-tracking technologies used to personally obtain data about ourselves. The aim of the present study was to assess the barriers associated with the "technologies of existence", so-called wearables, including lack of knowledge of these devices, lack of information on their correct use, as well as difficulties regarding data integration and interpretation. To help to overcome these barriers we investigated a project involving two self-tracking activities in an Italian secondary school, performing a quantitative and qualitative analysis of the students using these technologies for educational purposes. Thanks to the project and its contextualized practical and theoretical activities, students were able to become "enhanced users" in terms of their knowledge, autonomy and awareness as regards wearable technologies. Our findings regarding the application of wearable technologies in a scholastic setting may also be step forward in addressing a well-known common pitfall of self-tracking: insufficient scientific rigor. Our quantitative and qualitative analysis showed how the use of wearable devices in educational settings had a range of beneficial effects, above all, eliciting satisfaction among students, but also yielding positive outcomes regarding the acquisition of scientific knowledge perceived both in terms of device applications and data interpretation. In conclusion, our findings may have broad implications in the future design and development of wearable technologies.

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Introduction

Cited by 8 publications

References 5 publications

Lifelogging: el fenómeno de las “cajas negras” personales

Lifelogging: el fenómeno de las “cajas negras” personales

A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts

Information About Ourselves from Ourselves: Young Users of Wearable Technologies in Secondary School

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