Álvaro García Casas Biomedical Engineering  •  UC3M / Georgia Tech
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Wearable Biomedical Systems & Instrumentation Georgia Institute of Technology Completed • 10 Patients (p < 0.05)

Continuous Forearm Wearable Cuff: Quantitative Tremor & Autonomic Stress Biomarkers

Design, bioinstrumentation, and clinical validation of a continuous forearm sensor cuff integrating surface electromyography (sEMG) with galvanic skin response (GSR / electrodermal impedance). Quantifies the impact of acute sympathetic arousal on pathological neurogenic tremor across 10 patients (5 trials each), demonstrating statistically significant inverse correlation (p = 0.041, R² = 0.4266).

Lead Engineer: Álvaro García Casas Affiliation: Georgia Institute of Technology
Wearable Cuff Surface EMG (sEMG) Galvanic Skin Response (GSR) Instrumentation Amplifier Active 60 Hz Notch Filter Low-Pass Filter (LPF) Transimpedance Bridge Decoupled DAQ Telemetry Real-Time MATLAB DSP
Validated Clinical Cohort
10 Patients • 50 Trials
5 standardized trials per subject under resting vs acute TSST stress
sEMG Tremor Surge
+2.36 mV RMS
Statistically significant tremor exacerbation (p = 0.04097)
Sympathetic GSR Response
-55.3%
Autonomic skin impedance drop: 451.5 → 202.0 mV (p = 0.01814)
Cross-Modality Correlation
R² = 0.4266
Empirical inverse coupling between stress & tremor energy (p = 0.041)

Dual-Channel Analog Front-End (AFE) Circuit Schematic

Integrated biopotential & galvanic conditioning circuit. sEMG channel (Navy Blue) and GSR channel (Warm Amber) with fully coupled signal lines and zero floating terminals.

IEEE 315 • Hardware Schematic
CHANNEL 1: sEMG BIOPOTENTIAL AMPLIFICATION & ACTIVE BANDPASS - Bio- (Distal) + Bio+ (Medial) Elbow GND R3 120Ω IN-AMP Pre-Amplifier - + +5V R4 C1: 10μF R1 +5V R2 NOTCH & LPF Active Filter - + R5 C2 ADC A0 (sEMG) CHANNEL 2: GALVANIC SKIN RESPONSE (GSR) TRANSIMPEDANCE BRIDGE +5V F1 Index Finger F2 Middle Finger R_skin 100k-1MΩ R_ref TRANSIMPEDANCE Bridge & LPF - + R_fb R_lpf C_lpf ADC A1 (GSR) EMBEDDED DAQ & TELEMETRY CH0: sEMG Biopotential CH1: GSR Conductance Dual Microcontroller Core Decoupled Power Rails 10-Bit SAR Quantization 230,400 Baud Streaming Zero-Loss Packet Capture To MATLAB
Wearable Engineering

Wearable Cuff Integration & Continuous Telemetry Pipeline

The continuous wearable sensor cuff platform was fully engineered, integrated, and validated across two coordinated hardware and telemetry domains, achieving full operational compliance across all 10 clinical test subjects.

Wearable Sensor Cuff Front-End Validated • 100% Operational

Ergonomic Forearm Cuff & Bio-Sensing Transduction

  • • Integrated Wearable Sleeve: Ergonomic forearm sleeve integrating longitudinal surface EMG contact pads over the flexor digitorum superficialis and an isolated ground reference at the elbow olecranon.
  • • Phalangeal GSR Rings: Sweat-tolerant conductive finger straps on the index and middle phalanges capturing palmar eccrine electrodermal activity.
  • • Differential Biopotential AFE: High CMRR (>90 dB) Instrumentation Amplifier with active 60 Hz notch filtering, low-pass filter (LPF) stage, and DC half-cell offset rejection.
Continuous Telemetry Pipeline Validated • 100% Operational

Decoupled DAQ Telemetry & Real-Time DSP Engine

  • • Decoupled Dual-Core Digitization: Complete galvanic rail decoupling between microvolt biopotential amplification and resistive skin excitation, preventing ground loops.
  • • High-Speed Serial Streaming: Continuous packet transfer at 230,400 baud into the MATLAB Multiport engine with sub-5 ms telemetry latency.
  • • Automated RMS Feature Extraction: Real-time quantitative computation of root-mean-square tremor activation energy correlated with autonomic skin resistance.
Signal Processing • DSP Engine

Real-Time MATLAB DSP & Empirical Signal Traces

Following decoupled hardware acquisition at 230,400 baud, telemetry streams were processed through customized MATLAB DSP pipelines to isolate true neuromuscular motor unit bursts and quantify autonomic skin resistance shifts.

Conditioned sEMG Tremor Signal

250 Hz LPF + 60 Hz Notch
Filtered sEMG signals under high stress vs low stress conditions

Direct laboratory recordings after 250 Hz lowpass and 60 Hz notch filtering. Note the pronounced burst amplitude escalation during acute psychological stress (blue trace) compared to cyclic breathing relaxation (orange trace).

Conditioned GSR Electrodermal Signal

2–40 Hz Bandpass
Filtered GSR signal traces under high stress vs low stress

Direct laboratory GSR recordings after 2–40 Hz digital bandpass filtering. Captures marked tonic suppression in sensor output voltage corresponding to increased autonomic sweat gland conductance during stress tasks.

Raw MATLAB Recording

Baseline Tremor Bursts & MUAP Dynamics

Raw sEMG motor unit burst activations in MATLAB

Raw telemetry array showing baseline resting potential at 500 mV and multi-motor-unit spikes reaching 880 mV during tremor episodes.

1. Mains Rejection: An active digital 60 Hz IIR notch filter removes mains power interference with zero phase distortion in surrounding physiological frequency bands.

2. Spectral Bandlimiting: A 250 Hz digital lowpass filter suppresses high-frequency thermal amplifier noise while preserving motor unit action potential (MUAP) energy.

Biopotential RMS Energy Metric
V RMS = 1 N ∑ N i=1 V i 2

Root Mean Square (RMS) quantifies total instantaneous biopotential variance over N digitized samples in a sliding 100 ms analysis window, serving as the clinical metric for muscle activation and tremor energy.

Clinical Protocol

Trial Methodology: Involuntary Tremor vs. Voluntary Movement

A central scientific milestone of this investigation was establishing whether sympathetic stress selectively amplifies involuntary neurogenic tremor, or whether it non-specifically affects voluntary motor tasks.

Control • Voluntary Movement p = 0.19 (Not Significant)

Simulated "Pill-Rolling" Motor Task

Subjects were instructed to voluntarily execute the stereotypical rhythmic 4–6 Hz "pill-rolling" tremor characteristic of Parkinson’s disease under resting vs high stress conditions.

Outcome: Paired t-test analysis yielded p = 0.19 (> 0.05). Voluntary motor commands produced broad, rhythmic muscular activity that was completely unaffected by autonomic sympathetic arousal.

Experimental Cohort • Involuntary Tremor p = 0.04097 (Significant)

Postural Levitation Protocol (8–12 Hz)

Subjects maintained unsupported horizontal arm levitation for 1.5 minutes under 4x4 cyclic parasympathetic breathing (low stress) versus the Trier Social Stress Test (TSST) mental arithmetic (high stress).

Outcome: Unsupported levitation unmasked true 8–12 Hz involuntary oscillations, exhibiting statistically significant RMS voltage surges (p = 0.04097) closely tracked by sympathetic GSR drop (p = 0.01814).

Quantitative Findings • In-Vivo Cohort

10-Patient Clinical Validation (5 Trials per Condition)

Across 10 patients and 50 validated trials, simultaneous recordings confirmed consistent neuromuscular activation under acute sympathetic stress alongside marked reductions in electrodermal output voltage.

Cohort Experimental Data: sEMG RMS & GSR Output Voltages (N = 10 Patients, 5 Trials Each)

sEMG p = 0.04097 | GSR p = 0.01814 | R² = 0.4266
Patient ID sEMG (Resting) sEMG (TSST Stress) Δ sEMG Surge GSR (Resting) GSR (TSST Stress) Δ GSR Drop
Patient 01 (P01) 510.30 mV 512.70 mV +2.40 mV 478.60 mV 210.00 mV -268.60 mV
Patient 02 (P02) 508.80 mV 511.70 mV +2.90 mV 485.90 mV 223.60 mV -262.30 mV
Patient 03 (P03) 510.90 mV 512.90 mV +2.00 mV 468.40 mV 226.20 mV -242.20 mV
Patient 04 (P04) 511.90 mV 514.30 mV +2.40 mV 381.70 mV 147.80 mV -233.90 mV
Patient 05 (P05) 508.90 mV 511.50 mV +2.60 mV 448.30 mV 190.90 mV -257.40 mV
Patient 06 (P06) 509.70 mV 511.50 mV +1.80 mV 470.60 mV 223.00 mV -247.60 mV
Patient 07 (P07) 511.80 mV 514.40 mV +2.60 mV 406.40 mV 171.50 mV -234.90 mV
Patient 08 (P08) 511.10 mV 513.10 mV +2.00 mV 475.50 mV 225.70 mV -249.80 mV
Patient 09 (P09) 509.30 mV 511.10 mV +1.80 mV 449.90 mV 218.50 mV -231.40 mV
Patient 10 (P10) 509.70 mV 512.80 mV +3.10 mV 449.20 mV 182.80 mV -266.40 mV
Cohort Mean 510.24 mV 512.60 mV +2.36 mV 451.45 mV 202.00 mV -249.45 mV

Cross-Modality Correlation: sEMG RMS vs. GSR

R² = 0.4266
Correlation scatter plot between EMG RMS and GSR voltage showing R2 of 0.4266

Empirical regression analysis establishing a moderate inverse linear relationship (R² = 0.4266) between electrodermal sensor output voltage and neuromuscular tremor excitation.

Mean RMS sEMG Activation Across Stress States

p = 0.04097 (< 0.05)
RMS EMG voltage comparison under low and high stress conditions

Consistent statistically significant elevation in RMS biopotential amplitude across patients under acute stress (p = 0.04097), validating stress-induced tremor exacerbation.

Clinical Translation • Wearable Impact

Clinical Significance & Outpatient Telemetry Applications

In conventional neurology clinics, Parkinson’s disease tremor fluctuations are evaluated via periodic subjective questionnaires (e.g., MDS-UPDRS scales) which fail to capture episodic, stress-triggered motor deterioration.

01

Objective Outpatient Telemetry

Replaces subjective patient self-reports with continuous, quantitative biophysical tracking, allowing neurologists to map tremor severity against daily autonomic stressors.

02

Pharmacological Titration

Provides granular biomarker telemetry to optimize dopaminergic medication schedules (e.g., Levodopa / Carbidopa), detecting motor wearing-off periods triggered by acute stress.

03

Closed-Loop Neurostimulation

Lays the bioengineering foundation for next-generation peripheral neurostimulation cuffs capable of delivering on-demand vibrotactile or electrical suppression during detected tremor surges.

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