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Maksym Gaiduk
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2020 – today
- 2023
- [j3]Andrei Boiko
, Maksym Gaiduk
Monitoring of Cardiorespiratory Parameters during Sleep Using a Special Holder for the Accelerometer Sensor. Sensors 23(11): 5351 (2023) - [j2]Maksym Gaiduk
Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch. Sensors 23(13): 6145 (2023) - [c33]Andrei Boiko
Evaluation of a Contactless Accelerometer Sensor System for Heart Rate Monitoring During Sleep. ApplePies 2023: 333-338 - [c32]Andrei Boiko, Maksym Gaiduk
Accelerometer based system for unobtrusive sleep apnea detection. KES 2023: 1592-1600 - [c31]Maksym Gaiduk
Assessment of the replacement of a subjective measurement of sleep-relevant parameters by a measurement with a sensor under the mattress. KES 2023: 1632-1640 - [c30]Maksym Gaiduk
Conception of a home-based sleep apnoea identification and monitoring system. KES 2023: 3795-3804 - [c29]Ángel Serrano Alarcón, Maksym Gaiduk
A survey on pre-training requirements for deep learning models to detect obstructive sleep apnea events. KES 2023: 3805-3812 - 2022
- [j1]Maksym Gaiduk
Estimation of Sleep Stages Analyzing Respiratory and Movement Signals. IEEE J. Biomed. Health Informatics 26(2): 505-514 (2022) - [c28]Akhmadbek Asadov, Andrei Boiko
Evaluation of a prototype for early active patient mobilization. KES 2022: 2223-2231 - [c27]Petra Friedrich, Maksym Gaiduk
Assistive health systems for home-dwelling elderly: connecting training and monitoring technologies to a data integration platform. KES 2022: 3008-3017 - [c26]Maksym Gaiduk
Initial evaluation of substituting a sleep diary by smartwatch measurement. KES 2022: 3376-3383 - [c25]Sebastian Rätzer, Maksym Gaiduk
Heart Rate Detection Using a Non-obtrusive Ballistocardiography Signal. KES-IDT 2022: 405-416 - 2021
- [c24]Maksym Gaiduk
Evaluating Body Movement and Breathing Signals for Identification of Sleep/Wake States. ApplePies 2021: 206-211 - [c23]Lucas Weber
Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking. EMBC 2021: 5518-5522 - [c22]Maksym Gaiduk
Design of a sleep apnoea detection system for a home environment. KES 2021: 3225-3234 - [c21]Simone Orcioni
Preliminary results of homomorphic deconvolution application to surface EMG signals during walking. KES 2021: 3272-3280 - 2020
- [c20]Yurii Shkilniuk, Maksym Gaiduk
Unobtrusive Accelerometer-Based Heart Rate Detection. ApplePies 2020: 49-54 - [c19]Maksym Gaiduk
A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment. ApplePies 2020: 286-291 - [c18]Lucas Weber
Cardiac Abnormality Detection in 12-lead ECGs With Deep Convolutional Neural Networks Using Data Augmentation. CinC 2020: 1-4 - [c17]Maksym Gaiduk
Embedded system for non-obtrusive sleep apnea detection*. EMBC 2020: 2776-2779 - [c16]Massimo Conti, Carlo Aironi
Heart rate detection with accelerometric sensors under the mattress. EMBC 2020: 4063-4066 - [c15]Hans-Peter Hutter, Alireza Darvishy, Stephan Roth, Susanne Gäumann, Heidi Kaspar
Service Design for Accessible Tourism. HCI (9) 2020: 409-419 - [c14]Yurii Shkilniuk, Ángel Serrano Alarcón, Maksym Gaiduk
Analysis of Survey Tools for Recommender Systems in the Selection of Ambient Assisted Living Technologies. KES 2020: 2332-2340 - [c13]Maksym Gaiduk
Comparison of sleep characteristics measurements: a case study with a population aged 65 and above. KES 2020: 2341-2349 - [c12]Maksym Gaiduk
Non-obtrusive system for overnight respiration and heartbeat tracking. KES 2020: 2746-2755 - [c11]Klara Stuburic, Maksym Gaiduk
A deep learning approach to detect sleep stages. KES 2020: 2764-2772
2010 – 2019
- 2019
- [c10]Maksym Gaiduk
Recognizing Breathing Rate and Movement While Sleeping in Home Environment. ApplePies 2019: 333-339 - [c9]Maksym Gaiduk
Recognition of Sleep/Wake States analyzing Heart Rate, Breathing and Movement Signals. EMBC 2019: 5712-5715 - [c8]Mislav Juric, Maksym Gaiduk
Influence of Illuminance on Sleep Onset Latency in IoT Based Lighting System Environment. IWBBIO (1) 2019: 429-438 - [c7]Ralf Seepold
Home Hospital e-Health Centers for Barrier-Free and Cross-Border Telemedicine. KES-IDT (2) 2019: 307-316 - [c6]Maksim Sandybekov, Clemens Grabow, Maksym Gaiduk
Posture Tracking Using a Machine Learning Algorithm for a Home AAL Environment. KES-IDT (2) 2019: 337-347 - 2018
- [c5]Eva Rodríguez de Trujillo, Ralf Seepold
Embedded System to Recognize Movement and Breathing in Assisted Living Environments. ApplePies 2018: 391-397 - [c4]Massimo Conti, Simone Orcioni
A Review of Health Monitoring Systems Using Sensors on Bed or Cushion. IWBBIO (2) 2018: 347-358 - [c3]Maksym Gaiduk
Sensor-Mesh-Based System with Application on Sleep Study. IWBBIO (2) 2018: 371-382 - [c2]Eva Rodríguez de Trujillo, Ralf Seepold
Position recognition algorithm using a two-stage pattern classification set applied in sleep tracking. KES 2018: 1819-1827 - 2017
- [c1]Maksym Gaiduk
A Sensor Grid for Pressure and Movement Detection Supporting Sleep Phase Analysis. IWBBIO (2) 2017: 596-607
Coauthor Index
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