Mirjam Pijnappels

According to our database, Mirjam Pijnappels authored at least 11 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An open-source, externally validated neural network algorithm to recognize daily-life gait of older adults based on a lower-back sensor.

Yuge Zhang, Sjoerd M. Bruijn, Michiel Punt, Jorunn L. Helbostad, Mirjam Pijnappels, Sina David

Medical Biol. Eng. Comput., February, 2026

2023

Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise.

Sabine Schootemeijer, Roel H. A. Weijer, Marco J. M. Hoozemans, Kim Delbaere, Mirjam Pijnappels, Kimberley S. van Schooten

Sensors, 2023

2020

Association between Daily-Life Gait Quality Characteristics and Physiological Fall Risk in Older People.

Sabine Schootemeijer, Roel H. A. Weijer, Marco J. M. Hoozemans, Kimberley S. van Schooten, Kim Delbaere, Mirjam Pijnappels

Sensors, 2020

Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors - The PreventIT Feasibility Randomized Controlled Trial.

Kristin Taraldsen, A. Stefanie Mikolaizak, Andrea B. Maier, Sabato Mellone, Elisabeth Boulton, Kamiar Aminian, Clemens Becker, Lorenzo Chiari, Turid Follestad, Brenda Gannon, Anisoara Paraschiv-Ionescu, Mirjam Pijnappels, Ingvild Saltvedt, Michael Schwenk, Chris J. Todd, Fan B. Yang, Anna Zacchi, Jeanine M. Van Ancum, Beatrix Vereijken, Jorunn L. Helbostad

Frontiers Digit. Health, 2020

A Recommender System for Behavioral Change in 60-70-year-old Adults.

Pierpaolo Palumbo, Luca Cattelani, Federica Fusco, Mirjam Pijnappels, Lorenzo Chiari, Federico Chesani, Sabato Mellone

Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020

2019

Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls.

Kimberley S. van Schooten, Mirjam Pijnappels, Stephen R. Lord, Jaap H. van Dieën

Sensors, 2019

Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61-70 Years Old.

Alice Coni, Jeanine M. Van Ancum, Ronny Bergquist, A. Stefanie Mikolaizak, Sabato Mellone, Lorenzo Chiari, Andrea B. Maier, Mirjam Pijnappels

Sensors, 2019

2018

Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.

Wei Zhang, Michael Schwenk, Sabato Mellone, Anisoara Paraschiv-Ionescu, Beatrix Vereijken, Mirjam Pijnappels, A. Stefanie Mikolaizak, Elisabeth Boulton, Nini H. Jonkman, Andrea B. Maier, Jochen Klenk, Jorunn L. Helbostad, Kristin Taraldsen, Kamiar Aminian

Sensors, 2018

Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry.

Ahmed Nait Aicha, Gwenn Englebienne, Kimberley S. van Schooten, Mirjam Pijnappels, Ben J. A. Kröse

Sensors, 2018

Gait stability in response to platform, belt, and sensory perturbations in young and older adults.

Sanne Roeles, Philip J. Rowe, Sjoerd M. Bruijn, C. R. Childs, G. D. Tarfali, Frans Steenbrink, Mirjam Pijnappels

Medical Biol. Eng. Comput., 2018

2017

Mobile Health Applications to Promote Active and Healthy Ageing.

Jorunn L. Helbostad, Beatrix Vereijken, Clemens Becker, Chris J. Todd, Kristin Taraldsen, Mirjam Pijnappels, Kamiar Aminian, Sabato Mellone

Sensors, 2017