Early Diagnosis Now Possible With Smart Bandage

IoE era is here since we are able now to add mobile radio capabilities in our applications! The latest incarnation of the cell phone network will offer internet connectivity and possibilities that could only be dreamt of previously depending on your standpoint, and many more factors.

And now let’s embed these concept in medical applications, like “Smart Bandage” . It is conceivable that sensors embedded in a medical dressing could continuously monitor the wound healing process and send alerts to medical personnel when an infection is detected.  Maybe the patient could not tell accurately  since the pain is not a valid indicator of biological dysfunction. The problem is that we all have different thresholds; some stalwarts may endure the pain and only end up visiting a doctor as a last resort when the simple infection has developed into something nastier. Other patients will be convinced that a slight twinge is evidence of a life threatening condition. An objective assessment of the patient’s state of health will not only be reassuring to the patient, but also lead to a more efficient use of medical resources and reduced health care costs.

For this reason, band-aids with sensors and 5G network interfaces seem like a win-win formula. They will give the doctor an early indication of problems and may even be able to run rudimentary diagnostics to indicate the cause of the problem. Instead of long waiting times for appointments and expensive laboratory tests we could, for example get an immediate recommendation of an effective antibiotic. This is just one small example of the many benefits that the IoE will eventually bring to medical care in the future.

“That intelligent dressing uses nano-technology to sense the state of that wound at any one specific time. It would connect that wound to a 5G infrastructure and that infrastructure through your telephone will also know things about you – where you are, how active you are at any one time. You combine all of that intelligence so the clinician knows the performance of the specific wound at any specific time and can then tailor the treatment protocol to the individual and wound in question.” – Prof Marc Clement, chairman of the Institute of Life Science (ILS).


Via: Elektor

Mostly free engineering software

Michael Dunn @ edn.com has compiled a list of software that most enginners should be aware off.

We’re living in a golden age of software, where many useful programs are available – for free!

Let’s survey some of what’s out there that just might interest an engineering crowd like the EDN  community.

I can’t offer personal opinions on most of these packages, but I expect to hear back from you after you’ve test driven a few.

Mostly free engineering software – [Link]

FPGAs For MCU Guys

by Max Maxfield @ eeweb.com:

A little while ago, it struck me that I was getting tired of explaining what FPGAs are and how they work their magic to those of my chums who — thus far — have worked only with microcontrollers (MCUs), so I decided to write a three-part mini-series of articles to offer as an introduction.

FPGAs For MCU Guys – [Link]

Motor driver fits small IoT devices

Susan Nordyk @ edn.com:

A single-chip 2.6 A driver for brushed DC motors, STMicroelectronics’ STSPIN250 targets battery-powered portable and wearable applications. This low-voltage, energy-efficient driver integrates a power MOSFET bridge and fixed off-time PWM current controller in a tiny 3×3 mm VFQFPN package.

Motor driver fits small IoT devices – [Link]

Fuel gauge needs no battery characterization

by Susan Nordyk @ edn.com

The MAX17055 single-cell fuel gauge from Maxim not only eliminates battery characterization, but also keeps SOC (state-of-charge) error to within 1% in most scenarios. With its ModelGauge m5 EZ algorithm, the device provides tolerance against battery diversity for most lithium batteries and applications. It also allows system designer’s to decide when to shut down the device when the battery gets low, maximizing device runtime.

As the battery approaches the critical region near empty, the ModelGauge m5 algorithm invokes a special error correction mechanism that eliminates any error. In addition, it provides three methods for reporting the age of the battery: reduction in capacity, increase in battery resistance, and cycle odometer.

Fuel gauge needs no battery characterization – [Link]

6 Channel RF Remote Controller Using CC2500 RF Modules

The 6 Channel RF Remote Controller designed using CC2500 RF Transceiver modules and PIC16F1847 micro-controller from microchip. Transmitter provided with 6 tact switch, 4 Address Jumpers to pair multiple unit so they don’t interfere with each other. Board provided with power LED, valid transmission LED. Project works with 5 V DC, On board LM1117-3.3V regulator for CC2500 Module.  Two in one PCB can be used as Transmitter & Receiver.

Receiver works with 5V DC. 4 Jumper to paring RX& TX units, valid signal LED, power LED, and 9 Pin connector for outputs.  Same PCB is used as transmitter and receiver.  All outputs are Latch Type and TTL 5V Signal for easy interface with other devices like Relay Boards, Solid State Relays.

6 Channel RF Remote Controller Using CC2500 RF Modules – [Link]

Bluetooth Smart module is only 11x8x1.8mm

By Julien Happich @ eedesignnewseurope.com:

Amber wireless GmbH’s AMB2621 Bluetooth Smart module is a 2.4 GHz BLE wireless module based on the Bluetooth Smart 4.2 standard, measuring only 11x8x1.8mm and offered with or without integrated antenna.

Using a supercapacitor for power management and energy storage with a small solar cell

& @ edn.com writes:

In Part 1 of this series, we have reviewed solar cell performance, how to select and size the supercapacitor, requirements of supercapacitor charging circuits and charging IC characteristics. We will now use two case studies to illustrate these properties in detail.

Using a supercapacitor for power management and energy storage with a small solar cell – [Link]

1 Cent Lab-On-A-Chip For Early Diagnostics

Researchers at the Stanford University School of Medicine have developed a way to produce a cheap and reusable diagnostic “lab on a chip” with the help of an ordinary inkjet printer. At a production cost of as little as 1 cent per chip, the new combination of microfluidics, electronics and inkjet printing technology could usher in a medical diagnostics revolution like the kind brought on by low-cost genome sequencing, said Ron Davis, PhD, professor of biochemistry and of genetics and director of the Stanford Genome Technology Center.

Lab on a Chip – Zahra Koochak

The lab on a chip consists of two parts: a clear silicone microfluidic chamber for housing cells and a reusable electronic strip and  a regular inkjet printer that can be used to print the electronic strip onto a flexible sheet of polyester using commercially available conductive nano-particle ink.

“Enabling early detection of diseases is one of the greatest opportunities we have for developing effective treatments,” Rahim Esfandyarpour said, a PhD and an engineering research associate at the genome center. “Maybe $1 in the U.S. doesn’t count that much, but somewhere in the developing world, it’s a lot of money.”

Designed as a multi-functional platform, one of its applications is that it allows users to analyse different cell types without using fluorescent or magnetic labels that are typically required to track cells. Instead, the chip separates cells based on their intrinsic electrical properties:

When an electric potential is applied across the inkjet-printed strip, cells loaded into the microfluidic chamber get pulled in different directions depending on their “polarisability” in a process called dielectrophoresis. This label-free method to analyse cells greatly improves precision and cuts lengthy labeling processes.

Rahim Esfandyarpour helped to develop a way to create a diagnostic “lab on a chip” for just a penny.
Zahra Koochak

The tool is designed to handle small-volume samples for a variety of assays. The researchers showed the device can help capture single cells from a mix, isolate rare cells and count cells based on cell types.The low cost of the chips could democratize diagnostics similar to how low-cost sequencing created a revolution in health care and personalized medicine, Davis said. Inexpensive sequencing technology allows clinicians to sequence tumor DNA to identify specific mutations and recommend personalized treatment plans. In the same way, the lab on a chip has the potential to diagnose cancer early by detecting tumor cells that circulate in the bloodstream.

Via: Stanford Medicine