Table of contents :
metallic prostheses : cobalt and chromium alloys, stainless steel, titanium, polyvinyl, polyuretane or polyesters (for soft tissues), tantalum or acrylic resins (for bony structures) organic prostheses : polyethylene, teflon, dacron, nylon, polytef / polytetrafluoroethylene (PTFE) (a polymer of tetrafluoroethylene, used as a surgical implant material for prostheses, such as artificial vessels and orbital floor implants and for many applications in skeletal augmentation and skeletal fixation. Also used widely in industry, e.g., as an antistick coating for cooking utensils), silicone (for breast, testicular, and outer ear) biological prostheses : Thrombotic threshold velocity (TTV) : the minimum velocity of blood flow through a vascular graft or prosthesis below which thrombogenicity would begin along the intimal surface; variables affecting it include lumen diameter and type of material the graft or prosthesis is made of
- autologous :
- saphena vein
for tibial and coronary revascularization
- left internal mammary artery
(LIMA) for coronary revascularization
- splenic artery
and hypogastric artery
for visceral revascularization
- homologous : human umbilical vein
(Dardik prosthesis) covered by a dacron mesh
- heterologous : bovine carotid and mammary arteries, ovine collagen prostheses
- alloplastic prostheses : 150-200 ml/min
- biological prostheses : 50-150 ml/min
- autologous saphena vein (without valves or with valves in opposite orientation) (in femoral and below knee distal bypass) : 30-50 ml/min

|
|
|
|
| brain-machine interface (BMI) | completely paralyzed |
motors, i.e., robotic arms controlled by monkeysref |
brain-computer interface
(BCI)
|
completely paralyzed |
computer screen, i.e., moving a cursorref
Computer scientists have created a hat that can read your thoughts.
It allows you to stroll down a virtual street. All you have to do is think
about walking. Called a brain-computer interface, the device detects activity
in certain brain areas linked to movement, and uses the signals to mimic
that movement in a virtual world. The technology could one day help paralysed
patients to move robotic arms, or help sufferers of motor neuron disease
to type out words on a virtual keyboard. By picking up on these bursts
of nerve activity, the computer can decide whether you are thinking about
moving your hands or feet, and react accordingly. The technology detects
brain waves by using electrodes placed at strategic points on the scalp;
they are positioned over brain areas known to be involved in moving specific
body parts. The computer can then distinguish between signals corresponding
to different types of movement. Previously, accurate detection of local
brain activity has required electrodes to be implanted in the brain. This
technique has allowed recipients to control robots and even send e-mails.
The new device, presented at the International
Society for Presence Research 2005 technology meeting in Londonref,
achieves a similar feat using non-invasive methods. The team tested their
creation by asking participants to navigate a virtual-reality studio called
the Virtual Cave. Test subjects sit in a square studio wearing 3D goggles,
which project a scene such as a street, complete with pedestrians and buildings.
The computer then chooses a task for the participant: either walking forwards
or moving their hands. It tells the user what to do through sound cues.
If the person is asked to think about walking, and they do so in a way
that can be picked up by the cap, the virtual character steps forwards.
If they fail, the character stays still. When asked to think about moving
their hands, successful volunteers are rewarded by staying still. Failure
leads to punishment: their character takes a step backwards. One of the
world's best-trained users is Doris Zimmerman, a student who has worked
extensively with the team in Austria. She was flown in to help with demonstrations
at the conference. As she sits in front of the Virtual Cave's 2D screen,
we watch her effortlessly glide down a high street. However, it's not as
easy as it looks and 5 hours can be required to learn it. It could even
enable stroke patients to regain movement by allowing them to 'exercise'
their brain's motor centres. And strengthening the mind might lead to better
motor controlref.
|
| peripheral-machine interface (PMI) | amputees and persons with intact CNS but weak muscles | motors, i.e., prosthetic handref |
| hybrid brain-machine interface (HBMI) | spinal cord-injured |
muscles, i.e., direct brain control of FreeHandref |
| computer-brain interface (CBI) | Parkinson's disease |
musclesref |


