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Items: 8

1.

Noncontact Heart and Respiratory Rate Monitoring of Preterm Infants Based on a Computer Vision System: Protocol for a Method Comparison Study.

Gibson K, Al-Naji A, Fleet JA, Steen M, Chahl J, Huynh J, Morris S.

JMIR Res Protoc. 2019 Aug 29;8(7):e13400. doi: 10.2196/13400.

2.

Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

Gibson K, Al-Naji A, Fleet J, Steen M, Esterman A, Chahl J, Huynh J, Morris S.

Pediatr Res. 2019 Jul 27. doi: 10.1038/s41390-019-0506-5. [Epub ahead of print]

PMID:
31351437
3.

An Advanced First Aid System Based on an Unmanned Aerial Vehicles and a Wireless Body Area Sensor Network for Elderly Persons in Outdoor Environments.

Fakhrulddin SS, Gharghan SK, Al-Naji A, Chahl J.

Sensors (Basel). 2019 Jul 4;19(13). pii: E2955. doi: 10.3390/s19132955.

4.

Detection of Cardiopulmonary Activity and Related Abnormal Events Using Microsoft Kinect Sensor.

Al-Naji A, Chahl J.

Sensors (Basel). 2018 Mar 20;18(3). pii: E920. doi: 10.3390/s18030920.

5.

Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System With Noise Artifact Removal.

Al-Naji A, Chahl J.

IEEE J Transl Eng Health Med. 2017 Sep 29;5:1900510. doi: 10.1109/JTEHM.2017.2757485. eCollection 2017.

6.

Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle.

Al-Naji A, Perera AG, Chahl J.

Biomed Eng Online. 2017 Aug 8;16(1):101. doi: 10.1186/s12938-017-0395-y.

7.

Remote sensing of physiological signs using a machine vision system.

Al-Naji A, Gibson K, Chahl J.

J Med Eng Technol. 2017 Jul;41(5):396-405. doi: 10.1080/03091902.2017.1313326. Epub 2017 Apr 27.

PMID:
28447860
8.

Real Time Apnoea Monitoring of Children Using the Microsoft Kinect Sensor: A Pilot Study.

Al-Naji A, Gibson K, Lee SH, Chahl J.

Sensors (Basel). 2017 Feb 3;17(2). pii: E286. doi: 10.3390/s17020286.

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