Facilities

Sensing and Predictive Analytics for Computational HEalthcare Systems (SPACHeS) Laboratory

at CIE 212-North Dakota State University and ENC 2001 -University of South Florida

SPACHeS Lab Layout

A. Sleep lab and human factor engineering

Device testbed
Benchmark systems (Polysomnography system)
Adjustable bed
Wardrobe and Sink
Calibration bench & Observe sliding window

B. IoT and Health System Modeling

6. Computer and Data Server Station

C. Biomedical Instrumentation and Sensing

7. Electronic workbench

8. Instrumentation and design work station

POLYSOMNOGRAPHY (PSG) System

- Embla Sandman Sleep/Neuro Diagnostic Digital 32+ Amplifier System
- Sandman SD32+ Amplifier w/ Removable Headbox (s/n:OTA06055)
- Sandman elink REF
- Oridion D/A Converter CS-0713 (Analog Output)
- Sinpro Power Adapters
- Cornell Oximetry Cable & Finger Sensor
- Multiple Data & Connector Cables
- HoSmart Intercom System

Equipment

Electronic instrumentations: Tektronix MSO2024B digital oscilloscope, Siglent SDG2122X 120MHz waveform generator
Sensing and Simulator System: Natus Sleep/Neuro Diagnostic PSG system, Sandman Elite PSG System, Alice PDx Portable Sleep Diagnostic System, WatchPAT 300-Home sleep Monitoring system, BioPotentiostat AFCBP1, ProSim 8 Vital Signs Simulator
Vital Signal Monitor: Nihon Kohden Bedside Monitor
Network Facility: Dell Precision Tower 7810 Workstation .

Collaborations

1) USF College of Medicine-https://health.usf.edu/medicine/sleep

2) JA Haley VA Hospital

3) Sanford Sleep Center-https://www.sanfordhealth.org/locations/sanford-2801-medical-building

4) NDSU Sleep Lab-https://ndsusleeplab.com/

5) Sanford Roger Maris Cancer Center https://www.sanfordhealth.org/locations/sanford-roger-maris-cancer-center

6) Heart Artery and Vein Center of Fresno-California https://www.heartarteryveincenter.com/

SPACHeS Lab’s research focuses on smart connected systems and prognostic analytics for healthcare applications. The main tasks are to:

(1) develop biosensing systems integrated with artificial intelligent algorithms for clinical diagnosis, prognosis and treatment,

(2) assess the performance of the developed systems under different operating settings with well-established ground truths or approved clinical procedures,

(3) conduct IRB approved human-subject test with the consultant from clinical experts.