Literature DB >> 21096574

Monitoring pulse and respiration with a non-invasive hydraulic bed sensor.

David Heise1, Marjorie Skubic.   

Abstract

A hydraulic bed sensor has been developed to non-invasively monitor pulse and respiration during sleep. This sensor is designed for in-home use, to be part of an integrated sensor network for the early detection of illness and functional decline in elderly adults. Experience with another bed sensor has motivated a desire to acquire enhanced, quantitative data related to pulse and respiration. This paper describes a working prototype, the signal processing methods used to extract data from the constructed transducer, and results from preliminary testing.

Mesh:

Year:  2010        PMID: 21096574     DOI: 10.1109/IEMBS.2010.5627219

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  6 in total

1.  An early illness recognition framework using a temporal Smith Waterman algorithm and NLP.

Authors:  Zahra Hajihashemi; Mihail Popescu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Refinement and evaluation of a hydraulic bed sensor.

Authors:  David Heise; Licet Rosales; Marjorie Skubic; Michael J Devaney
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Non-Invasive Detection of Respiration and Heart Rate with a Vehicle Seat Sensor.

Authors:  Grace Wusk; Hampton Gabler
Journal:  Sensors (Basel)       Date:  2018-05-08       Impact factor: 3.576

4.  Mechanism-Driven Modeling to Aid Non-invasive Monitoring of Cardiac Function via Ballistocardiography.

Authors:  Mohamed Zaid; Lorenzo Sala; Jan R Ivey; Darla L Tharp; Christina M Mueller; Pamela K Thorne; Shannon C Kelly; Kleiton Augusto Santos Silva; Amira R Amin; Pilar Ruiz-Lozano; Michael S Kapiloff; Laurel Despins; Mihail Popescu; James Keller; Marjorie Skubic; Salman Ahmad; Craig A Emter; Giovanna Guidoboni
Journal:  Front Med Technol       Date:  2022-02-16

5.  Contactless continuous heart rate monitoring system using ballistocardiography.

Authors:  Brian Sumali; Yasue Mitsukura; Toshihiko Nishimura
Journal:  PLoS One       Date:  2022-07-29       Impact factor: 3.752

6.  Full Respiration Rate Monitoring Exploiting Doppler Information with Commodity Wi-Fi Devices.

Authors:  Chendan Dou; Hao Huan
Journal:  Sensors (Basel)       Date:  2021-05-18       Impact factor: 3.576

  6 in total

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