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Items: 1 to 20 of 50

1.

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations.

Chan G, Cooper R, Hosanee M, Welykholowa K, Kyriacou PA, Zheng D, Allen J, Abbott D, Lovell NH, Fletcher R, Elgendi M.

J Clin Med. 2019 Nov 1;8(11). pii: E1827. doi: 10.3390/jcm8111827. Review.

2.

The use of photoplethysmography for assessing hypertension.

Elgendi M, Fletcher R, Liang Y, Howard N, Lovell NH, Abbott D, Lim K, Ward R.

NPJ Digit Med. 2019 Jun 26;2:60. doi: 10.1038/s41746-019-0136-7. eCollection 2019. Review.

3.

How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database.

Liang Y, Abbott D, Howard N, Lim K, Ward R, Elgendi M.

J Clin Med. 2019 Mar 11;8(3). pii: E337. doi: 10.3390/jcm8030337.

4.

Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions.

Elgendi M, Menon C.

Brain Sci. 2019 Mar 1;9(3). pii: E50. doi: 10.3390/brainsci9030050. Review.

5.

Hypertension Assessment Using Photoplethysmography: A Risk Stratification Approach.

Liang Y, Chen Z, Ward R, Elgendi M.

J Clin Med. 2018 Dec 21;8(1). pii: E12. doi: 10.3390/jcm8010012.

6.

Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.

Liang Y, Chen Z, Ward R, Elgendi M.

Biosensors (Basel). 2018 Oct 26;8(4). pii: E101. doi: 10.3390/bios8040101.

7.

Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?

Martínez G, Howard N, Abbott D, Lim K, Ward R, Elgendi M.

J Clin Med. 2018 Sep 30;7(10). pii: E316. doi: 10.3390/jcm7100316.

8.

Active right atrial emptying fraction predicts reduced survival and increased adverse events in childhood pulmonary arterial hypertension.

Kumar S, Vadlamudi K, Kaddoura T, Bobhate P, Goot BH, Elgendi M, Jain S, Colen T, Khoo NS, Adatia I.

Int J Cardiol. 2018 Nov 15;271:306-311. doi: 10.1016/j.ijcard.2018.04.125.

PMID:
30223361
9.

Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database.

Liang Y, Chen Z, Ward R, Elgendi M.

Diagnostics (Basel). 2018 Sep 10;8(3). pii: E65. doi: 10.3390/diagnostics8030065.

10.

Subliminal Priming-State of the Art and Future Perspectives.

Elgendi M, Kumar P, Barbic S, Howard N, Abbott D, Cichocki A.

Behav Sci (Basel). 2018 May 30;8(6). pii: E54. doi: 10.3390/bs8060054.

11.

An optimal filter for short photoplethysmogram signals.

Liang Y, Elgendi M, Chen Z, Ward R.

Sci Data. 2018 May 1;5:180076. doi: 10.1038/sdata.2018.76.

12.

The Voice of the Heart: Vowel-Like Sound in Pulmonary Artery Hypertension.

Elgendi M, Bobhate P, Jain S, Guo L, Rutledge J, Coe Y, Zemp R, Schuurmans D, Adatia I.

Diseases. 2018 Apr 13;6(2). pii: E26. doi: 10.3390/diseases6020026.

13.

Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms.

Elgendi M, Liang Y, Ward R.

Diseases. 2018 Mar 11;6(1). pii: E20. doi: 10.3390/diseases6010020.

14.

Less Is More in Biosignal Analysis: Compressed Data Could Open the Door to Faster and Better Diagnosis.

Elgendi M.

Diseases. 2018 Feb 24;6(1). pii: E18. doi: 10.3390/diseases6010018.

15.

A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China.

Liang Y, Chen Z, Liu G, Elgendi M.

Sci Data. 2018 Feb 27;5:180020. doi: 10.1038/sdata.2018.20.

16.

Improving Remote Health Monitoring: A Low-Complexity ECG Compression Approach.

Elgendi M, Al-Ali A, Mohamed A, Ward R.

Diagnostics (Basel). 2018 Jan 16;8(1). pii: E10. doi: 10.3390/diagnostics8010010.

17.

Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health.

Elgendi M.

Diseases. 2018 Jan 6;6(1). pii: E6. doi: 10.3390/diseases6010006.

18.

Publisher Correction: Efficient ECG Compression and QRS Detection for E-Health Applications.

Elgendi M, Mohamed A, Ward R.

Sci Rep. 2017 Dec 1;7(1):17033. doi: 10.1038/s41598-017-17101-x.

19.

Scientists need data visualization training.

Elgendi M.

Nat Biotechnol. 2017 Oct 11;35(10):990-991. doi: 10.1038/nbt.3986. No abstract available.

PMID:
29019991
20.

A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals.

Elgendi M, Meo M, Abbott D.

Bioengineering (Basel). 2016 Oct 17;3(4). pii: E26. doi: 10.3390/bioengineering3040026.

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