Biosignals, Uncompromised

An integrated ecosystem of hardware, software, and AI services, available as a turnkey solution or à la carte.

S I F I

Multimodal, perfectly synchronized

Access ECG, EMG, PPG, motion, EDA, and skin temperature, all
synchronized to sub-sample precision, unlocking deeper insights into the
body’s physiological and autonomic state in real time.

The dashboard streams synchronized multimodal biosignals: ECG with beat detection, PPG in green/IR/red channels with pulse peaks, derived vitals including heart rate, interbeat interval and HRV, pulse-arrival time, SpO₂, and skin temperature trends. It also shows electrodermal activity (tonic and phasic), surface EMG amplitude over time, 3-axis accelerometer with posture/orientation, minute-level trend summaries, timestamped event markers, and motion-artifact handling to keep signals readable during movement.

Core technology overview

All-in-One Sensor Hub

Capture synchronized, multi-modal data from a single, compact device. Eliminate the complexity and data-syncing challenges of using separate, disparate systems for your research.

Open Data, No Restriction

Record it. Own it. We believe in open science. Our platform provides direct, local access to the raw data, completely free from forced cloud uploads or recurring data-access fees.

On-Device Sensor Configuration

Take full command of your data acquisition. Our platform gives you granular control to adjust sampling rates, apply onboard filters, and optimize sensor settings for your specific needs.

Universal Platform Compatibility

Our command-line tool, SiFi Bridge, lets you interface with any programming language and operating system. Stream data directly into your existing analysis pipelines.

Sensors overview

Modèle 3D
ECG (Electrocardiography) Research-grade electrical heart activity at 500 Hz.
ECG (Electrocardiography) Research-grade electrical heart activity at 500 Hz.
EMG (Electromyography) High-fidelity muscle activity and contraction at 2000 Hz
EMG (Electromyography) High-fidelity muscle activity and contraction at 2000 Hz
EDA (Electrodermal Activity) Measures autonomic arousal via sweat gland activity at 50 Hz.
EDA (Electrodermal Activity) Measures autonomic arousal via sweat gland activity at 50 Hz.
PPG (Photoplethysmography) Multi-wavelength (Blue, Green, Red, InfraRed) for pulse and SpO2 derivation at 100 Hz.
PPG (Photoplethysmography) Multi-wavelength (Blue, Green, Red, InfraRed) for pulse and SpO2 derivation at 100 Hz.
IMU (Inertial Measurement Unit) 6-axis accelerometer & gyroscope for precise motion tracking at 100 Hz.
IMU (Inertial Measurement Unit) 6-axis accelerometer & gyroscope for precise motion tracking at 100 Hz.
Skin Temperature Continuous monitoring of peripheral skin temperature at 1 Hz.
Skin Temperature Continuous monitoring of peripheral skin temperature at 1 Hz.
Modèle 3D
ECG (Electrocardiography) Research-grade electrical heart activity at 500 Hz.
ECG (Electrocardiography) Research-grade electrical heart activity at 500 Hz.
EMG (Electromyography) High-fidelity muscle activity and contraction at 2000 Hz
EMG (Electromyography) High-fidelity muscle activity and contraction at 2000 Hz
EDA (Electrodermal Activity) Measures autonomic arousal via sweat gland activity at 50 Hz.
EDA (Electrodermal Activity) Measures autonomic arousal via sweat gland activity at 50 Hz.
PPG (Photoplethysmography) Multi-wavelength (Blue, Green, Red, InfraRed) for pulse and SpO2 derivation at 100 Hz.
PPG (Photoplethysmography) Multi-wavelength (Blue, Green, Red, InfraRed) for pulse and SpO2 derivation at 100 Hz.
IMU (Inertial Measurement Unit) 6-axis accelerometer & gyroscope for precise motion tracking at 100 Hz.
IMU (Inertial Measurement Unit) 6-axis accelerometer & gyroscope for precise motion tracking at 100 Hz.
Skin Temperature Continuous monitoring of peripheral skin temperature at 1 Hz.
Skin Temperature Continuous monitoring of peripheral skin temperature at 1 Hz.

Products

Evidences & Collaborations

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.
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.
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)
2025
SiFi Labs at CRIR – Demonstration: Wearable Biosensors
Event notice, Centre de recherche interdisciplinaire en réadaptation de Montréal
2025
Cosmic Clash!
Development blog, IMV + IFI UiO & SiFi Labs
2024
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.
2024
Open access to raw signals gave us full control over processing and analysis, while ensuring all data remains local, greatly facilitating GDPR compliance and ethical approval processes.

Prof. Alexander Refsum Jensenius

Director of MishMash, the Centre for AI & Creativity in Norway, University of Oslo

EMG-based musical instrument research involving human movement and sound interaction.
SiFi’s platform enabled new insights into how rhythm, movement, and autonomic signals interac, thanks to seamless multi-sensor synchronization.

Assoc. Prof. Valentin Bégel

Support for signal, multi-modal exploration, Université Paris-Cité

Cognitive-motor research using multimodal sensor
With the BioPoint we can test novel trauma-treatment paradigms, made even more useful by the team’s ability to customize the device to our needs.

Dr. Nina Mørkved

Head of Research and Innovation at Helgeland Hospital, Associate Professor at the Department of Psychology The Arctic University of Norway

Psychosis and trauma focused therapy.
We needed a device that could adapt to our research needs, not the other way around. SiFi Labs is building us a custom solution to do exactly that.

Dr. Hongchul Sohn

Research Assistant Professor, Physical Therapy and Human Movement Sciences, Northwestern University

Pediatric rehabilitation; needed custom sensor setup
For the first time, SiFi Labs’ devices let us study the autonomic responses of people with spinal cord injuries, both above and below the injury site – in a real-world rehabilitation setting.

Dr. Thomas Glott

Specialist in Physical and Rehabilitation Medicine, Sunnaas Rehabilitation Hospital

Early clinical exploration of physiological monitoring in neurorehabilitation.