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ORCIDMaria Lindén
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- affiliation: Mälardalen University, Västerås, Sweden
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2020 – today
- 2024
[j26]Samaneh Zolfaghari
, Annica Kristoffersson, Mia Folke, Maria Lindén, Daniele Riboni:
Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining. Sensors 24(5): 1381 (2024)- 2023
- [j25]Abdelakram Hafid, Sabrina Difallah, Camille Alves, Saad Abdullah, Mia Folke, Maria Lindén, Annica Kristoffersson:
State of the Art of Non-Invasive Technologies for Bladder Monitoring: A Scoping Review. Sensors 23(5): 2758 (2023) - [c48]Abdelakram Hafid, Saad Abdullah, Maria Lindén, Annica Kristoffersson, Mia Folke:
Impact of Activities in Daily Living on Electrical Bioimpedance Measurements for Bladder Monitoring. CBMS 2023: 766-769 - [c47]Saad Abdullah, Abdelakram Hafid, Maria Lindén, Mia Folke, Annica Kristoffersson:
Machine Learning-Based Classification of Hypertension using CnD Features from Acceleration Photoplethysmography and Clinical Parameters. CBMS 2023: 923-924 - 2022
- [j24]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images. BMC Medical Imaging 22(1): 103 (2022) - [j23]Annica Kristoffersson, Maria Lindén:
A Systematic Review of Wearable Sensors for Monitoring Physical Activity. Sensors 22(2): 573 (2022) - [j22]Ranpreet Kaur, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images. Sensors 22(3): 1134 (2022) - 2021
- [j21]Mirza Mansoor Baig, Hamid Gholamhosseini, Jairo A. Gutiérrez, Ehsan Ullah, Maria Lindén:
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications. Appl. Clin. Inform. 12(01): 1-9 (2021) - [j20]Sara Abbaspour, Autumn Naber, Max Ortiz-Catalan, Hamid Gholamhosseini, Maria Lindén:
Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements. Sensors 21(16): 5677 (2021) - [c46]Solmaz Rastegar, Hamid Gholamhosseini, Andrew Lowe, Maria Lindén:
Continuous Blood Pressure Estimation From Non-Invasive Measurements Using Support Vector Regression. EMBC 2021: 1487-1490 - [c45]Ivan Tomasic, Roman Trobec, Maria Lindén:
State-Space versus Linear Regression Models between ECG Leads. MIPRO 2021: 357-362 - 2020
- [j19]Annica Kristoffersson, Maria Lindén:
Wearable Sensors for Monitoring and Preventing Noncommunicable Diseases: A Systematic Review. Inf. 11(11): 521 (2020) - [j18]Sara Abbaspour, Maria Lindén, Hamid Gholamhosseini, Autumn Naber, Max Ortiz-Catalan:
Evaluation of surface EMG-based recognition algorithms for decoding hand movements. Medical Biol. Eng. Comput. 58(1): 83-100 (2020) - [j17]Uwe Köckemann, Marjan Alirezaie, Jennifer Renoux, Nicolas Tsiftes, Mobyen Uddin Ahmed, Daniel Morberg, Maria Lindén, Amy Loutfi:
Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. Sensors 20(3): 879 (2020) - [j16]Annica Kristoffersson, Maria Lindén:
A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis. Sensors 20(5): 1502 (2020) - [j15]Saedeh Abbaspour, Faranak Fotouhi, Ali Sedaghatbaf, Hossein Fotouhi, Maryam Vahabi, Maria Lindén:
A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition. Sensors 20(19): 5707 (2020) - [c44]Roman Trobec, Maria Lindén, M. Sinkovec:
Impact of Subthreshold Transcutaneous Auricular Vagus Nerve Stimulation on the Heart Rate Variability and Atrial Arrhythmias. MIPRO 2020: 349-354
2010 – 2019
- 2019
- [j14]Arash Gharehbaghi, Maria Lindén, Ankica Babic:
An artificial intelligent-based model for detecting systolic pathological patterns of phonocardiogram based on time-growing neural network. Appl. Soft Comput. 83 (2019) - [j13]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics J. 25(3) (2019) - [c43]Nikola Petrovic, Ivan Tomasic, Maria Lindén, P. O. Risman:
Detection of Human Bodypart Abnormalities by Microwaves - A New Approach. MIPRO 2019: 270-274 - [c42]Ivan Tomasic, Nikola Petrovic, Maria Lindén, Aleksandra Rashkovska:
Comparison of publicly available beat detection algorithms performances on the ECGs obtained by a patch ECG device. MIPRO 2019: 275-278 - [c41]Roman Trobec, Matevz Jan, Maria Lindén, Ivan Tomasic:
Detection and Treatment of Atrial Irregular Rhythm with Body Gadgets and 35-channel ECG. MIPRO 2019: 301-308 - [c40]Hamid Gholamhosseini, Mirza Mansoor Baig, Joseph Maratas, Farhaan Mirza, Maria Lindén:
Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. pHealth 2019: 91-96 - [c39]Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha, Maria Lindén:
A Novel Medical Device for Early Detection of Melanoma. pHealth 2019: 122-127 - [c38]Solmaz Rastegar, Hamid Gholamhosseini, Andrew Lowe, Farhad Mehdipour, Maria Lindén:
Estimating Systolic Blood Pressure Using Convolutional Neural Networks. pHealth 2019: 143-149 - 2018
- [j12]Jiaying Du, Christer Gerdtman, Maria Lindén:
Signal Quality Improvement Algorithms for MEMS Gyroscope-Based Human Motion Analysis Systems: A Systematic Review. Sensors 18(4): 1123 (2018) - [j11]Arash Gharehbaghi, Maria Lindén:
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4102-4115 (2018) - [c37]Ivan Tomasic, K. Khosraviani, P. Rosengren, Magnus Jörnten-Karlsson, Maria Lindén:
Enabling IoT based monitoring of patients' environmental parameters: Experiences from using OpenMote with OpenWSN and Contiki-NG. MIPRO 2018: 330-334 - [c36]Maria Lindén, Mats Björkman:
Embedded Sensor Systems for Health - A Step Towards Personalized Health. pHealth 2018: 69-74 - [c35]Hamid Gholamhosseini, Mirza Mansoor Baig, Solmaz Rastegar, Maria Lindén:
Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio. pHealth 2018: 77-83 - [c34]Aasia A. Moqeem, Mirza Mansoor Baig, Hamid Gholamhosseini, Farhaan Mirza, Maria Lindén:
Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support. pHealth 2018: 189-193 - 2017
- [j10]Jiaying Du, Christer Gerdtman, Arash Gharehbaghi, Maria Lindén:
A signal processing algorithm for improving the performance of a gyroscopic head-borne computer mouse. Biomed. Signal Process. Control. 35: 30-37 (2017) - [j9]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption. J. Medical Syst. 41(7): 115:1-115:9 (2017) - [c33]Gordana Gardasevic, Hossein Fotouhi, Ivan Tomasic, Maryam Vahabi, Mats Björkman, Maria Lindén:
A Heterogeneous IoT-Based Architecture for Remote Monitoring of Physiological and Environmental Parameters. HealthyIoT 2017: 48-53 - [c32]Mobyen Uddin Ahmed, Hossein Fotouhi, Uwe Köckemann, Maria Lindén, Ivan Tomasic, Nicolas Tsiftes, Thiemo Voigt:
Run-Time Assurance for the E-care@home System. HealthyIoT 2017: 107-110 - [c31]Arash Gharehbaghi, Amir A. Sepehri, Maria Lindén, Ankica Babic:
Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network. ICIMTH 2017: 108-111 - 2016
- [j8]Gregory Koshmak, Amy Loutfi, Maria Lindén:
Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper. J. Sensors 2016: 6931789:1-6931789:12 (2016) - [c30]Gregory Koshmak, Maria Lindén, Amy Loutfi:
Fall risk probability estimation based on supervised feature learning using public fall datasets. EMBC 2016: 752-755 - [c29]Jiaying Du, Daniel Kade, Christer Gerdtman, Oguzhan Özcan, Maria Lindén:
The effects of perceived USB-delay for sensor and embedded system development. EMBC 2016: 2492-2495 - [c28]Amy Loutfi, Arne Jönsson, Lars Karlsson, Leili Lind, Maria Lindén, Federico Pecora, Thiemo Voigt:
Ecare@Home: A Distributed Research Environment on Semantic Interoperability. HealthyIoT 2016: 3-8 - [c27]Maria Lindén, Therese Jagestig Bjurquist, Mats Björkman:
Healthcare Needs, Company Innovations, and Research - Enabling Solutions Within Embedded Sensor Systems for Health. HealthyIoT 2016: 16-21 - [c26]Jiaying Du, Daniel Kade, Christer Gerdtman, Rikard Lindell, Oguzhan Özcan, Maria Lindén:
Perception of Delay in Computer Input Devices Establishing a Baseline for Signal Processing of Motion Sensor Systems. HealthyIoT 2016: 107-112 - [c25]Hamidur Rahman, Johan Sandberg, Lennart Eriksson, Mohammad Heidari, Jan Arwald, Peter Eriksson, Shahina Begum, Maria Lindén, Mobyen Uddin Ahmed:
Falling Angel - A Wrist Worn Fall Detection System Using K-NN Algorithm. HealthyIoT 2016: 148-151 - [c24]Hamid Gholamhosseini, Andries Meintjes, Mirza Mansoor Baig, Maria Lindén:
Smartphone-based Continuous Blood Pressure Measurement Using Pulse Transit Time. pHealth 2016: 84-89 - [c23]Ashalatha Kunnappilly, Cristina Seceleanu, Maria Lindén:
Do We Need an Integrated Framework for Ambient Assisted Living? UCAmI (2) 2016: 52-63 - 2015
- [c22]Mirza Mansoor Baig, Hamid Gholamhosseini, Maria Lindén:
Tablet-based patient monitoring and decision support systems in hospital care. EMBC 2015: 1215-1218 - [c21]Mobyen Uddin Ahmed, Mats Björkman, Aida Causevic, Hossein Fotouhi, Maria Lindén:
An Overview on the Internet of Things for Health Monitoring Systems. IoT 360 (1) 2015: 429-436 - [c20]Arash Gharehbaghi, Maria Lindén:
An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography. IoT 360 (1) 2015: 443-447 - [c19]Ivan Tomasic, Roman Trobec, Maria Lindén:
Can the Regression Trees Be Used to Model Relation Between ECG Leads? IoT 360 (1) 2015: 467-472 - [c18]Ivan Tomasic, Roman Trobec, Aleksandra Rashkovska, Maria Lindén:
Impact of electrode misplacement on the accuracy of 12-lead ECG synthesized from differential leads. MIPRO 2015: 365-369 - [c17]Sara Abbaspour, Maria Lindén, Hamid Gholamhosseini:
ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA. pHealth 2015: 91-97 - [c16]Jiaying Du, Christer Gerdtman, Maria Lindén:
Noise Reduction for a MEMS-Gyroscope-Based Head Mouse. pHealth 2015: 98-104 - [c15]Anna Åkerberg, Gregory Koshmak, Anders Johansson, Maria Lindén:
Heart Rate Measurement as a Tool to Quantify Sedentary Behavior. pHealth 2015: 105-110 - [c14]Ann-Louise Lindborg, Maria Lindén:
Development of an Eating Aid - From the User Needs to a Product. pHealth 2015: 191-198 - [c13]Torbjörn Ödman, Jan Welinder, Nils Andersson, Magnus Otterskog, Maria Lindén, Natalia Ödman, Christer Larsson:
A Study of Different Fabrics to Increase Radar Cross Section of Humans. pHealth 2015: 201-206 - [c12]Kin Yun Lum, Maria Lindén, Tian Swee Tan:
Impedance Matching Wireless Power Transmission System for Biomedical Devices. pHealth 2015: 225-232 - [c11]Mirza Mansoor Baig, Hamid Gholamhosseini, Martin J. Connolly, Maria Lindén:
Advanced Decision Support System for Older Adults. pHealth 2015: 235-240 - [c10]Mobyen Uddin Ahmed, Mats Björkman, Maria Lindén:
A Generic System-Level Framework for Self-Serve Health Monitoring System through Internet of Things (IoT). pHealth 2015: 305-307 - [e1]Bernd Blobel, Maria Lindén, Mobyen Uddin Ahmed:
pHealth 2015 - Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2-4 June 2015, Västerås, Sweden. Studies in Health Technology and Informatics 211, IOS Press 2015, ISBN 978-1-61499-515-9 [contents] - 2014
- [j7]Torbjörn Ödman, Natalia Ödman, Eugeni Rabotchi, Sigvard Åkervall, Maria Lindén:
Development and Validation of a Universal Measurement System for Measuring the Performance of Mammals. Int. J. Syst. Dyn. Appl. 3(2): 17-33 (2014) - [j6]Gregory Koshmak, Maria Lindén, Amy Loutfi:
Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment. Sensors 14(5): 9330-9348 (2014) - [c9]Hamid Gholamhosseini, Mirza Mansoor Baig, Martin J. Connolly, Maria Lindén:
A multifactorial falls risk prediction model for hospitalized older adults. EMBC 2014: 3484-3487 - [c8]Jiaying Du, Christer Gerdtman, Maria Lindén:
Signal processing algorithms for temperauture drift in a MEMS-gyro-based head mouse. IWSSIP 2014: 123-126 - [c7]Miguel Ángel Valero, Maria Lindén, Juan-Ramón Velasco, Mats Björkman:
Personalisation of Intelligent Homecare Services Adapted to Children with Motor Impairments. UCAmI 2014: 476-479 - 2013
- [j5]Linda Rattfält, Maria Lindén, Peter Hult, Per Ask, Magnus Borga:
Robust Heartbeat Detector Based on Weighted Correlation and Multichannel Input: Implementation on the ECG Recorded with Textile Electrodes. Int. J. E Health Medical Commun. 4(1): 61-71 (2013) - [c6]Gregory A. Koshmak, Maria Lindén, Amy Loutfi:
Evaluation of the android-based fall detection system with physiological data monitoring. EMBC 2013: 1164-1168 - 2012
- [j4]Martin C. Ekström, Marcus Bergblomma, Maria Lindén, Mats Björkman, Mikael Ekström:
A Bluetooth Radio Energy Consumption Model for Low-Duty-Cycle Applications. IEEE Trans. Instrum. Meas. 61(3): 609-617 (2012) - [c5]Marcus Bergblomma, Martin C. Ekström, Mats Björkman, Mikael Ekström, Christer Gerdtman, Maria Lindén:
A wireless low latency control system for harsh environments. PDeS 2012: 17-22 - [c4]Per Ask, Kristina Ekstrand, Peter Hult, Maria Lindén, Nils-Erik Pettersson:
NovaMedTech - A regional program for supporting new medical technologies in personalized health care. pHealth 2012: 71-75 - [c3]Jimmie Hagblad, Mia Folke, Maria Lindén:
Long Term Monitoring of Blood Flow at Multiple Depths - Observations of Changes. pHealth 2012: 107-112 - 2010
- [j3]Jimmie Hagblad, Lars-Göran Lindberg, A. Kaisdotter Andersson, Sara Bergstrand, M. Lindgren, A.-C. Ek, Mia Folke, Maria Lindén:
A technique based on laser Doppler flowmetry and photoplethysmography for simultaneously monitoring blood flow at different tissue depths. Medical Biol. Eng. Comput. 48(5): 415-422 (2010) - [c2]Christer Gerdtman, Maria Lindén:
Six-button Click Interface for a Disabled User by an Adjustable Multi-level Sip-and-Puff Switch. SIGRAD 2010: 59-63
2000 – 2009
- 2008
- [c1]Marcus Blom, Martin C. Ekström, Javier Garcia Castaño, Maria Lindén:
Bluetooth energy characteristics in wireless sensor networks. ISWPC 2008: 198-202 - 2007
- [j2]Linda Rattfält, Maria Lindén, Peter Hult, Lena Berglin, Per Ask:
Electrical characteristics of conductive yarns and textile electrodes for medical applications. Medical Biol. Eng. Comput. 45(12): 1251-1257 (2007) - 2005
- [j1]Annika Jonsson, Maria Lindén, M. Lindgren, L.-Å. Malmqvist, Y. Bäcklund:
Evaluation of antidecubitus mattresses. Medical Biol. Eng. Comput. 43(5): 541-547 (2005)
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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