Periodic leg movement (PLM) monitoring using a distributed body sensor network

Priyanka Madhushri, Beena Ahmed, Thomas Penzel, Emil Jovanov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Wireless sensors networks represent the architecture of choice for distributed monitoring due to the ease of deployment and configuration. We developed a distributed sleep monitoring system which combines wireless inertial sensors SP-10C by Sensoplex controlled by a custom smartphone application as an extension of the polysomnographic (PSG) monitor SOMNOscreen plus from Somnomedics. While existing activity monitors are wired to the SOMNOscreen, our system allows the use of wireless inertial sensors to improve user's comfort during sleep. The system is intended for monitoring of periodic leg movements (PLM) and user's activity during sleep. Wireless sensors are placed on ankle and toes of the foot in a customized sock. An Android app communicates with wireless sensors over Bluetooth Smart (BTS) link and streams 3D accelerometer values, 4D unit quaternion values and timestamps. In this paper we present a novel method of synchronization of data streams from PSG and inertial sensors, and original method of detection of PLM events. The system was tested using five experiments of simulated PLM, and achieved 96.51% of PLM detection accuracy.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1837-1840
Number of pages4
Volume2015-November
ISBN (Electronic)9781424492718
DOIs
Publication statusPublished - 4 Nov 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: 25 Aug 201529 Aug 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period25/8/1529/8/15

Fingerprint

Body sensor networks
Leg
Monitoring
Sensors
Sleep
Polysomnography
Toes
Ankle
Smartphones
Bluetooth
Foot
Accelerometers
Application programs
Telecommunication links
Wireless sensor networks
Synchronization
Experiments

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Madhushri, P., Ahmed, B., Penzel, T., & Jovanov, E. (2015). Periodic leg movement (PLM) monitoring using a distributed body sensor network. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (Vol. 2015-November, pp. 1837-1840). [7318738] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7318738

Periodic leg movement (PLM) monitoring using a distributed body sensor network. / Madhushri, Priyanka; Ahmed, Beena; Penzel, Thomas; Jovanov, Emil.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 1837-1840 7318738.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Madhushri, P, Ahmed, B, Penzel, T & Jovanov, E 2015, Periodic leg movement (PLM) monitoring using a distributed body sensor network. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. vol. 2015-November, 7318738, Institute of Electrical and Electronics Engineers Inc., pp. 1837-1840, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/8/15. https://doi.org/10.1109/EMBC.2015.7318738
Madhushri P, Ahmed B, Penzel T, Jovanov E. Periodic leg movement (PLM) monitoring using a distributed body sensor network. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1837-1840. 7318738 https://doi.org/10.1109/EMBC.2015.7318738
Madhushri, Priyanka ; Ahmed, Beena ; Penzel, Thomas ; Jovanov, Emil. / Periodic leg movement (PLM) monitoring using a distributed body sensor network. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1837-1840
@inproceedings{994593fdea58443fbcf3dc0e23d89655,
title = "Periodic leg movement (PLM) monitoring using a distributed body sensor network",
abstract = "Wireless sensors networks represent the architecture of choice for distributed monitoring due to the ease of deployment and configuration. We developed a distributed sleep monitoring system which combines wireless inertial sensors SP-10C by Sensoplex controlled by a custom smartphone application as an extension of the polysomnographic (PSG) monitor SOMNOscreen plus from Somnomedics. While existing activity monitors are wired to the SOMNOscreen, our system allows the use of wireless inertial sensors to improve user's comfort during sleep. The system is intended for monitoring of periodic leg movements (PLM) and user's activity during sleep. Wireless sensors are placed on ankle and toes of the foot in a customized sock. An Android app communicates with wireless sensors over Bluetooth Smart (BTS) link and streams 3D accelerometer values, 4D unit quaternion values and timestamps. In this paper we present a novel method of synchronization of data streams from PSG and inertial sensors, and original method of detection of PLM events. The system was tested using five experiments of simulated PLM, and achieved 96.51{\%} of PLM detection accuracy.",
author = "Priyanka Madhushri and Beena Ahmed and Thomas Penzel and Emil Jovanov",
year = "2015",
month = "11",
day = "4",
doi = "10.1109/EMBC.2015.7318738",
language = "English",
volume = "2015-November",
pages = "1837--1840",
booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Periodic leg movement (PLM) monitoring using a distributed body sensor network

AU - Madhushri, Priyanka

AU - Ahmed, Beena

AU - Penzel, Thomas

AU - Jovanov, Emil

PY - 2015/11/4

Y1 - 2015/11/4

N2 - Wireless sensors networks represent the architecture of choice for distributed monitoring due to the ease of deployment and configuration. We developed a distributed sleep monitoring system which combines wireless inertial sensors SP-10C by Sensoplex controlled by a custom smartphone application as an extension of the polysomnographic (PSG) monitor SOMNOscreen plus from Somnomedics. While existing activity monitors are wired to the SOMNOscreen, our system allows the use of wireless inertial sensors to improve user's comfort during sleep. The system is intended for monitoring of periodic leg movements (PLM) and user's activity during sleep. Wireless sensors are placed on ankle and toes of the foot in a customized sock. An Android app communicates with wireless sensors over Bluetooth Smart (BTS) link and streams 3D accelerometer values, 4D unit quaternion values and timestamps. In this paper we present a novel method of synchronization of data streams from PSG and inertial sensors, and original method of detection of PLM events. The system was tested using five experiments of simulated PLM, and achieved 96.51% of PLM detection accuracy.

AB - Wireless sensors networks represent the architecture of choice for distributed monitoring due to the ease of deployment and configuration. We developed a distributed sleep monitoring system which combines wireless inertial sensors SP-10C by Sensoplex controlled by a custom smartphone application as an extension of the polysomnographic (PSG) monitor SOMNOscreen plus from Somnomedics. While existing activity monitors are wired to the SOMNOscreen, our system allows the use of wireless inertial sensors to improve user's comfort during sleep. The system is intended for monitoring of periodic leg movements (PLM) and user's activity during sleep. Wireless sensors are placed on ankle and toes of the foot in a customized sock. An Android app communicates with wireless sensors over Bluetooth Smart (BTS) link and streams 3D accelerometer values, 4D unit quaternion values and timestamps. In this paper we present a novel method of synchronization of data streams from PSG and inertial sensors, and original method of detection of PLM events. The system was tested using five experiments of simulated PLM, and achieved 96.51% of PLM detection accuracy.

UR - http://www.scopus.com/inward/record.url?scp=84953333458&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953333458&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2015.7318738

DO - 10.1109/EMBC.2015.7318738

M3 - Conference contribution

VL - 2015-November

SP - 1837

EP - 1840

BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -