Literature DB >> 22255130

Wearable sensor systems: the challenges.

E McAdams1, A Krupaviciute, C Gehin, E Grenier, B Massot, A Dittmar, P Rubel, J Fayn.   

Abstract

Given the soaring costs associated with the treatment of ever more prevalent chronic disease, it is widely agreed that a revolution is required in health care provision. It is often thought that the necessary technology already exists for the home-based monitoring of such patients and that it is other factors which are holding back the more widespread clinical uptake of these new tools. The authors suggest that the necessary sensor-related technologies are often not as advanced as may first appear; certainly they are generally not adequate for the robust, long-term monitoring of patients under real-life conditions. An additional problem is the evident efforts to apply a given sensor and related technology platform to any and all monitoring scenarios without sufficient consideration of patient needs and the clinical requirements. The authors review the key sensing platforms and suggest the applications for which they are best suited.

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Year:  2011        PMID: 22255130     DOI: 10.1109/IEMBS.2011.6090614

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

Review 1.  Smart health monitoring systems: an overview of design and modeling.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

Review 2.  New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet.

Authors:  Tasha Glenn; Scott Monteith
Journal:  Curr Psychiatry Rep       Date:  2014-12       Impact factor: 5.285

Review 3.  Wearable sensor systems for infants.

Authors:  Zhihua Zhu; Tao Liu; Guangyi Li; Tong Li; Yoshio Inoue
Journal:  Sensors (Basel)       Date:  2015-02-05       Impact factor: 3.576

4.  Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Authors:  Syed Ghufran Khalid; Jufen Zhang; Fei Chen; Dingchang Zheng
Journal:  J Healthc Eng       Date:  2018-10-23       Impact factor: 2.682

5.  Aligning Patient's Ideas of a Good Life with Medically Indicated Therapies in Geriatric Rehabilitation Using Smart Sensors.

Authors:  Cristian Timmermann; Frank Ursin; Christopher Predel; Florian Steger
Journal:  Sensors (Basel)       Date:  2021-12-19       Impact factor: 3.576

  5 in total

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