Evaluation of heart condition based on ballistocardiogram classification using compactly supported wavelet transforms and neural networks. - Alireza Akhbardeh; Sakari Junnila; Mikko Koivuluoma; Teemu Koivistoinen; Alpo Värri (CCA, 2005)

BCG Data Discrimination Using Daubechies Compactly Supported Wavelet Transform and Neural Networks for Heart Disease Diagnosis. - Alireza Akhbardeh; Mika Koivuluoma; Teemu Koivistoinen; Alpo Värri (ISIC, 2005)

Design an Intelligent Ballistocardiographic Chair using Novel QuickLearn and SF-ART Algorithms and Biorthogonal Wavelets. - Alireza Akhbardeh; Sakari Junnila; Teemu Koivistoinen; Alpo Värri (SMC, 2006)

Towards a heart disease diagnosing system based on force sensitive chair's measurement, biorthogonal wavelets and neural networks. - Alireza Akhbardeh; Sakari Junnila; Mikko Koivuluoma; Teemu Koivistoinen; Väinö Turjanmaa; Tiit Kööbi; Alpo Värri (Eng. Appl. Artif. Intell., 2007)

Applying Novel Time-Frequency Moments Singular Value Decomposition Method and Artificial Neural Networks for Ballistocardiography. - Alireza Akhbardeh; Sakari Junnila; Mikko Koivuluoma; Teemu Koivistoinen; Alpo Värri (EURASIP J. Adv. Signal Process., 2007)

An Intelligent Ballistocardiographic Chair using a Novel SF-ART Neural Network and Biorthogonal Wavelets. - Alireza Akhbardeh; Sakari Junnila; Teemu Koivistoinen; Alpo Värri (J. Medical Syst., 2007)

Influences of Digital Band-Pass Filtering on the BCG Waveform. - Mikko Koivuluoma; Laurentiu Barna; Teemu Koivistoinen; Tiit Kööbi; Alpo Värri (BIOSIGNALS (2), 2008)

Early Warning Software for Emergency Department Crowding. - Jalmari Tuominen; Teemu Koivistoinen; Juho Kanniainen; Niku Oksala; Ari Palomäki; Antti Roine (J. Medical Syst., 2023)

Forecasting mortality associated emergency department crowding. - Jalmari Nevanlinna; Anna Eidstø; Jari Ylä-Mattila; Teemu Koivistoinen; Niku Oksala; Juho Kanniainen; Ari Palomäki; Antti Roine (CoRR, 2024)

Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data. - Jalmari Nevanlinna; Anna Eidstø; Jari Ylä-Mattila; Teemu Koivistoinen; Niku Oksala; Juho Kanniainen; Ari Palomäki; Antti Roine (J. Medical Syst., 2025)