Out of Touch: From audio recordings to phone apps to mattress sensors, noncontact systems offer a less cumbersome way to monitor sleep

Clifford, Gari D.; Gederi, Elnaz

doi:10.1109/mpul.2014.2339253

Cited by 3 publications

References 8 publications

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Comparative analysis of actigraphy performance in healthy young subjects

et al. 2016

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Sleep-related health disorders are increasing worldwide; diagnosis and treatment of such sleep diseases are commonly invasive and sometimes unpractical or expensive. Actigraphy has been recently introduced as a tool for the study of sleep and circadian disorders; however, there are several devices that claim to be useful for research and have not been thoroughly tested. This comparative study provides activity, sleep and temperature information regarding several of the most commonly used actigraphers: Micro-Mini Motion Logger; Act Trust; Misfit Flash; Fitbit Flex & Thermochron.Twenty-two healthy young subjects were assessed with five different commercial actigraphs (Micro-Mini Motionlogger Watch, Condor Act Trust, MisFit Flash and Fitbit Flex) and a temperature recorder (Thermochron), and also completed a sleep diary for a week. There were not significant differences in the analysis of rest-activity pattern between devices. Temperature rhythm comparison between the Act Trust and the Thermochron showed significant differences in rhythm percentage (p<0.05) and mesor (p<0.0563) but not in amplitude or acrophase.Although data accessibility and ease of use was very different for the diverse devices, there were no significant differences for sleep onset, total sleep time and sleep efficiency recordings, where applicable. In conclusion, depending on the type of study and analysis desired (as well as cost and compliance of use), we propose some relative advantages for the different actigraphy/temperature recording devices.

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Comparative analysis of actigraphy performance in healthy young subjects

et al. 2016

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Design and implementation of a mechatronic SmartBed for improved rehabilitation

Onchi

Peñaloza

Cuéllar

2016

2016 IEEE International Conference on Industrial Technology (ICIT)

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Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies

Almalki¹,

Gray²,

Martín-Sánchez³

2016

J Med Internet Res

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BackgroundSelf-quantification (SQ) is a way of working in which, by using tracking tools, people aim to collect, manage, and reflect on personal health data to gain a better understanding of their own body, health behavior, and interaction with the world around them. However, health SQ lacks a formal framework for describing the self-quantifiers’ activities and their contextual components or constructs to pursue these health related goals. Establishing such framework is important because it is the first step to operationalize health SQ fully. This may in turn help to achieve the aims of health professionals and researchers who seek to make or study changes in the self-quantifiers’ health systematically.ObjectiveThe aim of this study was to review studies on health SQ in order to answer the following questions: What are the general features of the work and the particular activities that self-quantifiers perform to achieve their health objectives? What constructs of health SQ have been identified in the scientific literature? How have these studies described such constructs? How would it be possible to model these constructs theoretically to characterize the work of health SQ?MethodsA systematic review of peer-reviewed literature was conducted. A total of 26 empirical studies were included. The content of these studies was thematically analyzed using Activity Theory as an organizing framework.ResultsThe literature provided varying descriptions of health SQ as data-driven and objective-oriented work mediated by SQ tools. From the literature, we identified two types of SQ work: work on data (ie, data management activities) and work with data (ie, health management activities). Using Activity Theory, these activities could be characterized into 6 constructs: users, tracking tools, health objectives, division of work, community or group setting, and SQ plan and rules. We could not find a reference to any single study that accounted for all these activities and constructs of health SQ activity.ConclusionsA Health Self-Quantification Activity Framework is presented, which shows SQ tool use in context, in relation to the goals, plans, and competence of the user. This makes it easier to analyze issues affecting SQ activity, and thereby makes it more feasible to address them. This review makes two significant contributions to research in this field: it explores health SQ work and its constructs thoroughly and it adapts Activity Theory to describe health SQ activity systematically.

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Out of Touch: From audio recordings to phone apps to mattress sensors, noncontact systems offer a less cumbersome way to monitor sleep

Cited by 3 publications

References 8 publications

Comparative analysis of actigraphy performance in healthy young subjects

Comparative analysis of actigraphy performance in healthy young subjects

Design and implementation of a mechatronic SmartBed for improved rehabilitation

Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies

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