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Biomedical subjects

Moshe Kam

Publications and source records attributed to Moshe Kam.

3 recordsLinked to original sources

Pharmacokinetics of intravenous insulin delivery in humans with type 1 diabetes.

BACKGROUND: Insulin pharmacokinetics models describe the distribution and elimination of insulin in the body. These models can be useful in designing infusion schemes to produce a desired plasma insulin profile. METHODS: We evaluated the pharmacokinetics of intravenous insulin delivery in five human subjects with type 1 diabetes; one subject was studied on three separate occasions for a total of seven experiments. Each subject consumed an identical 829 Kcal meal of solid food for breakfast and lunch, followed by exercise on a stationary bicycle. Regular human insulin was infused into a peripheral vein at a basal rate (0.5 U/h) for the entire study. Coinciding with the consumption of each meal, insulin was infused at a higher rate for 120 min (average dose 8.5 +/- 2.1 U). The bolus dose was based upon preprandial and 60-min postprandial blood glucose measurements and a sliding scale regimen. Blood glucose levels were allowed to fluctuate throughout the protocol (mean 174 mg/dL, range 55-340 mg/dL). Human insulin levels were measured from plasma samples obtained every 10 min throughout the 8.5-h protocol. A total of 346 plasma samples were assayed to measure the concentration of human insulin. RESULTS AND CONCLUSIONS: Data were used to compare (previously developed) insulin kinetics models consisting of one, two, and three first-order linear differential equations. The ability of each model to simulate the input/output data (intravenous insulin infusion rate/plasma insulin concentration) was assessed. Our main finding is that the first-order linear insulin kinetics model was sufficient to describe the clinical data. The model had a fractional insulin loss rate of 0.112 +/- 0.063 min(1) and a distribution volume of 15.6 +/- 4.0 L.

Adult↗

Writer identification using hand-printed and non-hand-printed questioned documents.

Several federal district court judges have recently referred to the purported lack of information on the proficiency of forensic document examiners (FDEs) in identifying writers of hand-printed documents. In order to provide the necessary information, we have re-analyzed data on writer identification that were collected in 1996 from 90 forensic document examiners and 34 laypersons. These data were used previously to assess the proficiency of FDEs using handwritten documents in several different types of writing. In the new analysis we separated data on hand-printed (HP) documents from data on non-hand-printed (NHP) documents and compiled error rates and statistics in each category. The main findings are: (1) whether or not the documents were hand-printed, the performance of FDEs was much better than that of laypersons; (2) statistical tests found no difference between the data provided by the FDEs in the HP and NHP categories; (3) statistical tests found no difference between the data provided by laypersons in the HP and NHP categories; and (4) statistical tests found differences between the data provided by the FDEs and the laypersons in both the HP and NHP categories. Similar results were obtained when hand-printed documents were compared to cursive documents and when cursive documents were compared to non-cursive documents. All the evidence indicates that in our proficiency test the performance of FDEs in writer identification was much better than the performance of laypersons in each one of the following document categories: (1) hand-printed; (2) non-hand-printed; (3) cursive; and (4) non-cursive.

Data Interpretation, Statistical↗

An automated neck flexibility tester.

We investigate automation and control options for the neck flexibility tester (NFT) (P. McClure et al., 1998), a device originally used to measure the flexibility of the human cervical spine. The motivation is to lay the foundations for design and implementation of investigative devices that would allow studies of mechanical properties of the spine under repetitive dynamic loading. We derive the equations of motion for an automated NFT (ANFT) using a Lagrangian formulation. These equations, which represent a simplified first-order model of the dynamics, are used to simulate the ANFT using the software package Simulink. Two control schemes are examined: proportional plus integral plus derivative (PID) control and dynamic inversion. Both are simulated for setpoint and tracking control. It appears that PID control is preferred due to its simplicity of design and relative insensitivity to the dynamic model of the ANFT.

Biomechanical Phenomena↗