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Next-generation EEG Brain Monitoring

Wireless.
Portable.
Effortless.
FDA-Cleared.

Algorithms Developed by Dr. Emery Brown, Dr. Patrick Purdon, and Dr. Tuan Le Mau.

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The Problem & Our Solutions

About 60,000 patients in the United States receive general anesthesia every day,¹ and more than a third of inpatient surgical procedures are performed on patients 65 or older.² Yet the monitoring standard (1986, last amended 2025) still asks for heart rate and blood pressure, not for the brain, where the drugs act.³,¹³ Even when EEG is used, existing depth-of-anesthesia indices are unreliable in older patients, driving either excess anesthetic exposure or clinician distrust of the monitor.

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PASCALL was co-founded by Dr. Emery Brown (MIT, Mass General-Brigham), Dr. Patrick Purdon (Stanford), and Dr. Tuan Le Mau (MIT) to put the brain in front of anesthesia caregivers. M0, our first FDA-cleared monitor,¹¹ is a wireless forehead sensor that streams a patient's EEG live to a tablet at the bedside. Enter the patient's age, and the monitor scales the display to it: raw waveform, spectral edge frequency, density spectral array, and burst suppression.

Our Advantages

Driven by advanced neuroscience and signal-process research, the PASCALL cable-free forehead sensor reads the brain in age-appropriate terms and follows the patient across every care area.

Wireless.
No Cables, No Clutter

One forehead sensor, one tablet. Nothing threaded through the drapes.

Age-adjusted Algorithms

A monitor for both young and old brains, starting with an innovative age-adjusted display.

Seamless Transport of Patients Between Care Areas

Monitoring stays on the patient from OR to PACU to ICU — no re-cabling, no gap in the record when the bed moves.

Advanced Neuroscience and Signal Processing Research

Bring 30+ years of peer-reviewed neuroscience and anesthesia research into clinical care, starting with an advanced spectral density array (DSA) and phase-amplitude modulogram.

Innovations in our Wireless EEG Monitor

Our first FDA-cleared wireless EEG monitor brings capabilities existing devices do not offer, and we are just getting started.

Age-Adjusted Display

Older brains produce weaker alpha power under anesthesia, so conventional indices read them as light and the patient gets more drug. Our display scales to the patient's age and shows the underlying signal instead of a single normalized number.

Burst Suppression Detection

More sensitive detection of burst suppression than conventional monitors, so the deepest anesthetic state is visible the moment it appears rather than after the fact.

Phase-Amplitude Modulogram

Available only on the PASCALL monitor. The modulogram shows how slow-wave phase couples to alpha amplitude, giving a 2nd independent read on the patient's state of arousal under general anesthesia.

Built for the Case, Start to Finish

An ergonomic wireless sensing unit that collects medical-grade EEG at 24-bit resolution, versus 16-bit for consumer EEG. Battery life covers long surgical cases.

Why Work With Us

Whether you are at the head of the bed, running the study, building the system it plugs into, or funding what comes next, we built this with you in the room.

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Anesthesia Provider

  • No annoying notifications and blocking display.

  • Main/Default Screen displays the most important information.

  • Display full Burst Suppression waveform.

  • Display Spectrogram/DSA with SFP

  • Ultra-high Resolution Time Scale (2 minute).

  • Highly responsive data stream.

  • Sensor adhesive glue gentle on patients' skin.

Anesthesia Researcher

  • Automatic upload to secure research dashboard.

  • Case-based organization for multi-site collaborations.

  • Collect high-fidelity EEG data from Pre-op to OR, PACU, and ICU.

  • From raw data to analysis easily and rapidly.​

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Intergration Partners

  • Vertically integrated from design, development, and manufacturing in the US..

  • ISO 13485:2016

  • FDA 510(k)

  • Licensable SOTA algorithm.

  • Licensable hardware.

We Are Hiring

Join our team in Central Square, Cambridge, MA

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  Meet Us at Upcoming Events  

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Annual Congress
August 21-25, 2026 | Boston, MA

References

  1. Brown EN, Lydic R, Schiff ND. General anesthesia, sleep, and coma. N Engl J Med. 2010;363(27):2638-2650. doi:10.1056/NEJMra0808281

  2. McDermott KW, Liang L. Overview of Operating Room Procedures During Inpatient Stays in U.S. Hospitals, 2018. HCUP Statistical Brief #281. Agency for Healthcare Research and Quality; August 2021. Accessed August 6, 2026. https://hcup-us.ahrq.gov/reports/statbriefs/sb281-Operating-Room-Procedures-During-Hospitalization-2018.jsp

  3. Eichhorn JH, Cooper JB, Cullen DJ, Maier WR, Philip JH, Seeman RG. Standards for patient monitoring during anesthesia at Harvard Medical School. JAMA. 1986;256(8):1017-1020.

  4. Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical electroencephalography for anesthesiologists: part I: background and basic signatures. Anesthesiology. 2015;123(4):937-960. doi:10.1097/ALN.0000000000000841

  5. Purdon PL, Pavone KJ, Akeju O, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. Br J Anaesth. 2015;115(suppl 1):i46-i57. doi:10.1093/bja/aev213

  6. Ni K, Cooter M, Gupta DK, et al. Paradox of age: older patients receive higher age-adjusted minimum alveolar concentration fractions of volatile anaesthetics yet display higher bispectral index values. Br J Anaesth. 2019;123(3):288-297. doi:10.1016/j.bja.2019.05.040

  7. Besch G, Liu N, Samain E, et al. Occurrence of and risk factors for electroencephalogram burst suppression during propofol-remifentanil anaesthesia. Br J Anaesth. 2011;107(5):749-756. doi:10.1093/bja/aer235

  8. Fournier A, Krause R, Winterer G, Schneider R. Biomarkers of postoperative delirium and cognitive dysfunction. Front Aging Neurosci. 2015;7:112. doi:10.3389/fnagi.2015.00112

  9. Gou RY, Hshieh TT, Marcantonio ER, et al. One-year Medicare costs associated with delirium in older patients undergoing major elective surgery. JAMA Surg. 2021;156(5):430-442. doi:10.1001/jamasurg.2020.7260

  10. Marcantonio ER. Delirium in hospitalized older adults. N Engl J Med. 2017;377(15):1456-1466. doi:10.1056/NEJMcp1605501

  11. US Food and Drug Administration. 510(k) premarket notification: Wireless EEG System (K213299). Accessed August 6, 2026. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K213299

  12. Chemali J, Ching S, Purdon PL, Solt K, Brown EN. Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression. J Neural Eng. 2013;10(5):056017. doi:10.1088/1741-2560/10/5/056017

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