Optimization of Medicine Dosing in Parkinson's Disease, Based on Signals from Sensor Measurements | Sifi Labs

A Sensor is not a Sensor: Diffracting the Preservation of Sonic Microinteraction with the SiFiBand

von Arnim, Hugh Alexander, Çağrı Erdem, Ulysse Côté-Allard, and Alexander Refsum Jensenius. “A Sensor is not a Sensor: Diffracting the Preservation of Sonic Microinteraction with the SiFiBand.” In Proceedings of the 20th International Audio Mostly Conference, pp. 318-325. 2025.

The Fifth Main Dynamic Factor: Skin Temperature and Its Effects on EMG-Based Gesture Recognition

Michaud, Etienne, Xavier Isabel, Evan Campbell, Raphael Paradis, Dylan Renaud, Ulysse Cote-Allard, and Benoit Gosselin. “The Fifth Main Dynamic Factor: Skin Temperature and Its Effects on EMG-Based Gesture Recognition.” In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2025, pp. 1-6. 2025.

Context-Informed Incremental Learning Improves Myoelectric Control Performance in VR Object-Manipulation Tasks

Gagné, Gabriel, Anisha Azad, Thomas Labbé, Evan Campbell, Xavier Isabel, Erik Scheme, Ulysse Côté-Allard, and Benoit Gosselin. “Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks.” arXiv preprint arXiv:2505.06064 (2025)

SiFi Labs at CRIR – Demonstration: Wearable Biosensors

Event notice, Centre de recherche interdisciplinaire en réadaptation de Montréal

Development blog, IMV + IFI UiO & SiFi Labs

Predictive Modelling of Muscle Fatigue in Climbing

Proc. ACM MM Sports 2024 – Matthias Boeker, Dana Swarbrick, Ulysse Côté-Allard, Hugo Hammer, Michael Riegler & Pål Halvorsen.

Discrete Gesture Recognition Using Multimodal PPG, IMU & Single-Channel EMG Recorded at the Wrist

IEEE Sensors Letters 22 (9) – Ethan Eddy, Evan Campbell, Ulysse Côté-Allard, Scott Bateman & Erik Scheme

Optimization of Medicine Dosing in Parkinson’s Disease, Based on Signals from Sensor Measurements

Gutowski, T. “Optimization of Medicine Dosing in Parkinson’s Disease, Based on Signals from Sensor Measurements.” Military University of Technology (2024).

BioPoint: Single-Site, Multi-Sensor Compound Gesture Recognition

Myoelectric Controls Symposium. 2024

BioPoint: Enhancing Human-Computer Interaction through Single-Site, Multi-Sensor Gesture Recognition

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1-6. IEEE, 2024

Optimization of Medicine Dosing in Parkinson’s Disease Based on Sensor Measurements

PhD Thesis from the Military University of Technology, Poland. Discusses improving Parkinson’s tele-monitoring using the BioPoint.

“Intuitive Robotics” (MCT master blog)

Student project: BioPoint IMU streams drive a UR10e robot arm to paint on canvas in real time.

Photoplethysmography-Based Derivation of Physiological Information Using the BioPoint

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

LibEMG: An Open-Source Library to Facilitate the Exploration of Myoelectric Control.

Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman & Erik Scheme, IEEE Access 11, 87380-87397.