Biosignal Consulting & Evidence Strategy
From Raw Biosignals to Decisions
We consult on evidence strategy, process complex physiological data, and deliver the biomarkers and endpoints that support regulatory, clinical, and commercial decisions.
Get in TouchWhat We Do
From Measurement Strategy to Actionable Data
SDG operates at every stage of the biosignal pipeline — from study architecture to final deliverable. We bring the same rigor to a two-week processing sprint as we do to a multi-year research program.
Measurement Strategy & Evidence Planning
We help R&D teams determine what to measure, how to position physiological claims, and what the evidence pathway looks like — before committing to a study. From endpoint selection and regulatory strategy to sensor specification and IRB-ready protocols, we de-risk the measurement decisions that shape everything downstream.
Advanced Biosignal Processing
We transform raw physiological recordings — EEG, ECG/HRV, PSG, PPG, EDA, EMG — into clean, analysis-ready signals. Our pipelines handle artifact rejection, feature extraction, and endpoint computation at clinical and research grade.
Biomarker Discovery & Data Mining
We identify physiological signatures that predict outcomes — cognitive load thresholds, sleep disorder phenotypes, autonomic regulation profiles. Statistical modeling, machine learning, and domain expertise work together to surface what the raw data alone can't reveal.
Representative Projects
What We've Delivered
Selected engagements across domains:
PSG Endpoint Processing for Consumer Sleep Technology
Computed advanced polysomnographic endpoints — hypoxic burden, loop gain, arousal threshold, ventilatory drive — for a commercial sleep device seeking clinical validation. Delivered analysis-ready datasets integrated directly into the client's scoring platform.
Cognitive Workload Monitoring in Healthcare Providers
Designed and deployed a wearable sensing protocol to measure real-time cognitive load in clinical settings. Combined physiological streams (ECG, EDA, PPG) with task performance data to identify workload inflection points.
Closed-Loop Biofeedback for Real-Time Yoga Instruction
Developed a system that streams physiological data from participants to instructors in real time, enabling yoga sessions to be tailored on the fly to each client's autonomic state.
Sleep and Arousal Detection
To support FDA registration for an ankle-worn wearable, we developed machine learning algorithms to detect wake and sleep periods and calculate endpoint validation.
For a detailed case study on how the U.S. Army used our technology, visit our Autonomic™ page.
View Case StudyTrusted Across Sectors
Military & Government
Clinical Research & Pharma
HR & Corporate Health
Wellness & Coaching
Research & Human Factors
Ready to collaborate?
Whether you need a processing pipeline for next quarter or a measurement strategy for the next three years, we'll find the right engagement model. No pitch deck required — just tell us what you're trying to measure.