DAVID A KLAPPER
Medical Practice at Henry Hudson Pkwy, Bronx, NY
License number
Florida 91962
Issued Date
Nov 16, 2004
Effective Date
Oct 10, 2007
Expiration Date
Jan 31, 2007
Category
Health Care
Type
Medical Doctor
Address
Address
2
3240 Henry Hudson Pkwy APT 6M, Bronx, NY 10463
1611 NW 12Th Ave, Miami, FL 33136
1611 NW 12Th Ave, Miami, FL 33136
Phone
(786) 942-0532
Professional information
Dr. David A Klapper, Miami FL - MD (Doctor of Medicine)
Specialties:
Sleep Medicine
Address:
1295 NW 14Th St, Miami 33125
Languages:
English
Hospitals:
1295 NW 14Th St, Miami 33125
University of Miami Hospital
1400 West 12Th Ave, Miami 33136
University of Miami Hospital
1400 West 12Th Ave, Miami 33136
Method And Apparatus For Classification Of Movement States In Parkinson's Disease
US Patent:
2009024, Oct 1, 2009
Filed:
Mar 17, 2009
Appl. No.:
12/381858
Inventors:
David Klapper - Miami Beach FL, US
International Classification:
A61B 5/11
US Classification:
600595
Abstract:
For Parkinson's patients to function at their best, their medications need to be optimally adjusted to the diurnal variation of symptoms. For this to occur, it is important for the managing clinician to have an accurate picture of how the patient's bradykinesia/hypokinesia and dyskinesia and the patient's perception of movement state fluctuate throughout the normal daily activities. The present invention uses wearable accelerometers coupled with computer implemented learning and statistical analysis techniques in order to classify the movement states of Parkinson's patients and to provide a timeline of how the patients fluctuate throughout the day.
Method And Apparatus For Classification Of Movement States In Parkinson's Disease
US Patent:
2005023, Oct 20, 2005
Filed:
Jan 5, 2005
Appl. No.:
11/030490
Inventors:
David Klapper - Miami Beach FL, US
International Classification:
A61B005/00
US Classification:
600300000
Abstract:
For Parkinson's patients to function at their best, their medications need to be optimally adjusted to the diurnal variation of symptoms. For this to occur, it is important for the managing clinician to have an accurate picture of how the patient's bradykinesia/hypokinesia and dyskinesia and the patient's perception of movement state fluctuate throughout the normal daily activities. The present invention uses wearable accelerometers coupled with computer implemented learning and statistical analysis techniques in order to classify the movement states of Parkinson's patients and to provide a timeline of how the patients fluctuate throughout the day.