Faculty

Institution

Unit

Venue

Chad Hagen

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneChad Hagen is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

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Experiences

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Education

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Chad Hagen

Oregon Health & Science University

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sleep physiological measurements sleep-related breathing disorders sensors sleep disorders patient monitoring health sciences critical care data science sleep medicine load cells obstructive sleep apnea pediatrics chronic diseases measurement kinematics human movement medical devices electrophysiology respiratory medicine movement analysis health monitoring decision tree learning sensor technology energy monitoring monitoring technology timefrequency analysis acoustic sensors hypopnea definitions lean patients apnea-hypopnea index accurate scoring unobtrusive classification mandibular repositioning appliances automated in-home detection pilot study contact-free load cells time-frequency respiration harmonic artifact rejection non-contact bed sensors

Notable Scholarly Works

Notable Federal Grants

Collaborators

Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study. Biosensors (2019)

automated in-home detectionsleepsensorsmedical devicesphysiological measurementspatient monitoringobstructive sleep apneasleep-related breathing disorderspilot studyhealth monitoring

In-Home Sleep Apnea Severity Classification Using Contact-Free Load Cells and an Adaboosted Decision Tree Algorithm. (2018)

contact-free load cellssleepsleep medicinedata sciencedecision tree learningphysiological measurementscritical carepatient monitoringsleep-related breathing disorderssleep disorders

A Time-Frequency Respiration Tracking System Using Non-Contact Bed Sensors With Harmonic Artifact Rejection. (2015)

Zachary T. BeattiePeter G. JacobsThomas C. RileyChad C. Hagen

biophysicssensor technologyharmonic artifact rejectionwearable technologytimefrequency analysiselectrophysiologysensorsenergy monitoringphysiological measurementsinstrumentationphysiologynon-contact bed sensorstime-frequency respirationmonitoring technologyneurophysiologyacoustic sensors

Accurate Scoring of the Apnea–Hypopnea Index Using a Simple Non‐Contact Breathing Sensor. Journal of Sleep Research (2013)

measurementapnea–hypopnea indexaccurate scoringsensorsphysiological measurementsrespiratory medicinecritical carepatient monitoringsleep-related breathing disordershealth sciences

Management of Snoring and Obstructive Sleep Apnea With Mandibular Repositioning Appliances. Dental Clinics of North America (2013)

sleepobstructive sleep apneamandibular repositioning appliancessleep-related breathing disorders

Unobtrusive Classification of Sleep and Wakefulness Using Load Cells Under the Bed. (2012)

unobtrusive classificationsleepsleep medicineneurosciencedata sciencephysiological measurementsload cellssleep disorders

Classification of Lying Position Using Load Cells Under the Bed. (2011)

kinesiologymovement analysiskinematicsload cellshuman movement

Comparison of Hypopnea Definitions in Lean Patients With Known Obstructive Sleep Apnea Hypopnea Syndrome (Osahs). Sleep And Breathing (2009)

chronic diseasessleep disorderssleeppediatricshypopnea definitionslean patientssleep-related breathing disordershealth sciences

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Chad Hagen

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneChad Hagen is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chad Hagen

Oregon Health & Science University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study. Biosensors (2019)

automated in-home detectionsleepsensorsmedical devicesphysiological measurementspatient monitoringobstructive sleep apneasleep-related breathing disorderspilot studyhealth monitoring

In-Home Sleep Apnea Severity Classification Using Contact-Free Load Cells and an Adaboosted Decision Tree Algorithm. (2018)

contact-free load cellssleepsleep medicinedata sciencedecision tree learningphysiological measurementscritical carepatient monitoringsleep-related breathing disorderssleep disorders

A Time-Frequency Respiration Tracking System Using Non-Contact Bed Sensors With Harmonic Artifact Rejection. (2015)

Zachary T. BeattiePeter G. JacobsThomas C. RileyChad C. Hagen

Accurate Scoring of the Apnea–Hypopnea Index Using a Simple Non‐Contact Breathing Sensor. Journal of Sleep Research (2013)

measurementapnea–hypopnea indexaccurate scoringsensorsphysiological measurementsrespiratory medicinecritical carepatient monitoringsleep-related breathing disordershealth sciences

Management of Snoring and Obstructive Sleep Apnea With Mandibular Repositioning Appliances. Dental Clinics of North America (2013)

sleepobstructive sleep apneamandibular repositioning appliancessleep-related breathing disorders

Unobtrusive Classification of Sleep and Wakefulness Using Load Cells Under the Bed. (2012)

unobtrusive classificationsleepsleep medicineneurosciencedata sciencephysiological measurementsload cellssleep disorders

Classification of Lying Position Using Load Cells Under the Bed. (2011)

kinesiologymovement analysiskinematicsload cellshuman movement

Comparison of Hypopnea Definitions in Lean Patients With Known Obstructive Sleep Apnea Hypopnea Syndrome (Osahs). Sleep And Breathing (2009)

chronic diseasessleep disorderssleeppediatricshypopnea definitionslean patientssleep-related breathing disordershealth sciences

1
10 / page