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Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography-Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study.

JMIR Mhealth Uhealth
Liu I, Hu L, Luo J, Liu C, Zhong Q, Ni S.   +5 more
europepmc   +1 more source

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Bar code waveform recognition using peak locations

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
Traditionally, zero crossings of the second derivative provide edge features for the classification of blurred waveforms. The accuracy of these edge features deteriorates in the case of severely blurred images. In this paper, a new feature is presented that is more resistant to the blurring process, the image, and waveform peaks.
E. Joseph, T. Pavlidis
openaire   +3 more sources

EKG waveform recognition procedure

Proceedings of the Fifteenth Annual Northeast Bioengineering Conference, 2003
A fast, accurate, and robust EKG (electrocardiogram) waveform-recognition algorithm has been developed for a personal computer. The method uses the convolution of raw EKG data with one or more sample EKG waveform templates as a recognition signal. Recognition occurs when the convolution exceeds a user-defined reference level.
G. Dwyer, Y. Noguchi, H.H. Szeto
openaire   +1 more source

Automatic Radar Waveform Recognition

IEEE Journal of Selected Topics in Signal Processing, 2007
In this paper, a system for automatically recognizing radar waveforms is introduced. This type of techniques are needed in various spectrum management, surveillance and cognitive radio or radar applications. The intercepted radar signal is classified to eight classes based on the pulse compression waveform: linear frequency modulation (LFM), discrete ...
Jarmo Lundn, Visa Koivunen
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Pattern Recognition Applied to Monitoring Waveforms

IEEE Transactions on Biomedical Engineering, 1975
This paper demonstrates that fetal heart rate (FHR) patterns can be classified by algorithmically determined linear discriminants. A nonparametric learning algorithm was applied to 17 samples of five-vectors. The coordinates of each sample vector were visual features derived from the FHR curve and the simultaneous uterine contraction pressure data in ...
W R, Valenzuela, A, Klinger, J S, McDonald   +2 more
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Waveform recognition with 10,000 ECGs

Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163), 2002
A method for the comparison and interpretation of 12-lead ECGs without feature extraction is introduced. One beat of the test ECG with unknown diagnosis is compared with ECGs from an ECG database with available diagnoses. With the aid of modified cross correlation methods, reference cases are selected from the ECG database which best match the signal ...
R. Bousseljot, D. Kreiseler
openaire   +1 more source