Excited to share our work on Freezing of Gait (FoG) in Parkinson's Disease linkedin.com/posts/florenc-…

The WEALTH Consortium HDHL Annual Meeting has kicked off in BIPS Bremen, we look forward to an engaging agenda and discussion of WPs and research questions for our large data set!

I am pleased to have presented the first results from the development of machine learning algorithms to detect physical activity. This presentation took place during the annual WEALTH project meeting at the BIPS Institute in Bremen. WEALTH Project #AI #wearables

Very excited to have a symposium for the WEALTH Project project titled: "Physical behaviour detection from tri-axial accelerometry using wearables and smartwatches: development of classifiers and external validation based on EMA in the WEALTH Study" More details to follow!

Thrilled to share some news! I'll be speaking at 9th International Conference on Ambulatory Monitoring of Physical Activity & Movement on Jun 18 - 21, 2024. I would love to see you there! - via #Whova Event Platform WEALTH Project tinyurl.com/2y8e674g

Thrilled to share some news! I'll be speaking at 9th International Conference on Ambulatory Monitoring of Physical Activity & Movement on Jun 18 - 21, 2024. I would love to see you there! - via #Whova Event Platform WEALTH Project tinyurl.com/24v5urh6

WEALTH is coming to ICAMPAM this week for our exciting symposium ISMPB with guest speaker Dr Alan Godfrey Alan Godfrey. Come along on Weds 19th @ 3.30pm #ICAMPAM2024

One of our WEALTH Project talks in the ISMPB symposium 8 tomorrow, with Dr Luis Sigcha LuisFrancisco Sigcha. This study focuses on the development of Machine Learning algorithms for PA classification using data collected from research-grade tri-axial accelerometers activPAL.

Luis Sigcha presents his work on the WEALTH Project project at #ICAMPAM2024 PESS @ UL Health Research Institute Physical Activity for Health Research Centre @UL

Another focus of our symposium will be on labelled data assessment, with Dr Christoph Buck of BIPS providing interesting insights from the project data. Come along today at #ICAMPAM

Up next is LuisFrancisco Sigcha who is presenting information on the machine learning models used in the WEALTH Project project #ICAMPAM2024 Physical Activity for Health Research Centre @UL Health Research Institute

A great afternoon at #ICAMPAM2024 at our symposium. Thank you to everyone involved and those who attended!

Final farewell from ISMPB president Prof. Alan Donnelly to close a very successful conference, bring on #ICAMPAM2026

I'm glad to share our latest article "Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study". Big thanks to Luigi Borzì and Gabriella Olmo for their excellent work. sciencedirect.com/science/articl…

I'm glad to share that I was invited to the "2nd Biomechanics in Sport and Ageing Symposium". You are cordially invited to attend my talk on implementing machine learning algorithms for physical activity recognition in older adults, see you there! #AI #wearables

📢 Call for Papers! 📢 We're excited to announce a special issue of Applied Science (SSN 2076-3417) focused on "Advanced Sensing and Processing Methods for Non-invasive Assessment and Monitoring of Chronic Disorders" 🗓 Deadline: 31 March 2025 mdpi.com/journal/applsc…

I'm glad to share our latest review article "Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers" published in Applied Science doi.org/10.3390/app142…

🔥 Read our Review Paper 📚 Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Carlos Polvorinos-Fernández et al. #digitalbiomarkers #motorsymptoms #wearables Universidad Politécnica de Madrid

I'm happy to share that my application MONIPAR, is being used at Asociación Parkinson Madrid to monitor people with Parkinson’s disease. Grateful to everyone who made this possible! linkedin.com/posts/maycamar…

I'm happy to share our latest publication from the WEALTH Project Project: "Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection". doi.org/10.1371/journa…